Final Exam Questions Assignment Example | Topics and Well Written Essays - 2000 words

Final Exam Questions - Assignment Example Although mergers and acquisitions are always used in the same breath, the two terms have different implications. Generally, the main difference between mergers and acquisitions is based on how the purchase is articulated and communicated or received by the concerned parties. For example, unlike acquisitions, mergers occur when two companies agree to join and operate as one. In this regard, the merged companies can operate as equals or through laid down agreements. On the other hand, acquisitions involve a company taking over another company and establishing itself as the owner through a purchase. A fundamental characteristic of many acquisitions is that the acquiring company always takes over the management and ownership of the other companies they have acquired and eventually combine their operations. In this regard, the controlling power of one company is transferred from one shareholder group to another. One of the ways through which mergers and acquisitions contribute to business growth and expansion is that they offer quicker methods for companies to grow and reorganize their assets portfolios. They allow companies to acquire assets across many industries. It allows them to establish and penetrate new markets depending on the objectives of the company; acquired assets may be sold or retained (Maksimovic, 2011). ... In an acquisition, the acquiring company establishes sustainable positive results by spreading its risks through many different industries (Ross, 2005). Another important contribution of mergers and acquisitions related to business growth is that they enable companies take advantage of economies of scale. They increase the purchasing power of equipment’s and office supplies saving costs. This is due to increased negotiation power due to increased company size. The new entities, can access new technologies which gives them a competitive edge over their competitors. Expenses related to information and intelligence logistics are also reduced due to a shared infrastructure. This makes the cost of production per unit output to decrease increasing profits (Maksimovic, 2011). Question 4: How can a firm create the conditions for innovation? There are a diverse number of ways through which firms can create enabling conditions for innovation. Innovation is crucial to the growth and sust ainability of modern companies because. Increased innovation leads to more products in the market generating more sales. The top companies in the world are leading in innovations. Creating a culture of innovation is one of the best ways that companies can create favorable conditions for innovation. For example, a culture of risk aversion is one of the critical barriers to innovation. As a result, to ensure continued innovation, firms should move from risk aversion organizational culture to a culture of calculated risk taking. Similarly, firms should also create organizational cultures that promote curiosity and tolerance of mistakes and wish to experiment with new things. This includes giving the employees the freedom to experiment, promotion of open communication as well as

RocketBoom Essay Example | Topics and Well Written Essays - 250 words

RocketBoom - Essay Example Rocketboom has an organizational structure that differs from the traditional television programs that feature the unidirectional structure. It targets international audience by engaging them in discussions and in various formats and platforms (VCTV 2007). The Rocketboom video covers the top and new stories with a bias on international arts and weblog drama. It presents the videos online and also distributes them via RSS. The firm’s content can also be accessed via its website, iTunes and subscription through emails. The availability of its content online gives it a larger audience than the television companies. Unlike traditional televisions that spend heavily in production, it uses simple facilities to compose its content (DeVilla 2006). Failure to understand the concepts of IT and business would have deprived it the opportunity to thrive in the hostile market. As discussed above, most traditional television companies fail to register growth because of their limited knowledge or lack of using IT exhaustively. Lack of business skills would have seen the company collapse at an early age because of poor

Benihana Company Essay Example for Free

Benihana Company Essay Helping our guests feel welcome is as important as our cooking. And it is just as great a skill. Ever striving for excellence in hospitality, it is truly our restaurant family who has built Benihanas success. Company History: Benihana, Inc. owns and licenses restaurants in the Benihana and Benihana Grill chain of Japanese dinnerhouses. The restaurants specialize in an exhibition-style of Japanese cooking called teppanyaki. Customers sit around a communal table at which a Benihana chef slices their seafood, steak, chicken, and vegetables with lightning speed, grills their meal right in front of them, and then tosses it accurately onto their plates. The restaurants are decorated with Samurai armor and valuable art, and Shoji rice paper screens partition the dining areas. For the fiscal year ending March 31, 1996, the company had sales of over $81 million, an all-time high. By December 1996, Benihana operated a total of 49 licensed and wholly owned restaurants in 20 states as well as in Bogota, Columbia, and Aruba, Netherlands Antilles. Early History, from Tokyo to New York The founder of Benihana, Inc. was a 25-year-old Olympic wrestler from Japan named Hiroaki Rocky Aoki. He got his start in the restaurant business by working after school in his familys coffee shop in downtown Tokyo. His mother named the family business Benihana after a red flower that survived the bombing of Tokyo during World War II. Rocky was a scrapper, defending himself in the streets and schoolyards against bigger boys. He got hooked on wrestling, became a national university champion, and earned a place on the 1960 Olympic team. Although he didnt compete because he was over his weight limit, he did fall in love with New York when the plane stopped there on the way to the Games in Rome. That fall he left Japan for the United States. In 1964, Aoki graduated from New York Community Colleges School of Hotel and Restaurant Management. During the summer he earned money driving the only ice cream truck in Harlem. The job was not easy, as he explained in an article in Management Review. Every time I robbed, I get up earlier the next day and work later to make up. Every time I lose money, I get more challenge. With that philosophy, he managed to save $10,000 during the summer, which, along with a loan, was enough to start his first restaurant, Benihana of Tokyo. Aokis concept for his new restaurant, derived from specialty restaurants he knew of in Japan, was part entertainment and part food service. He wanted to offer Americans food they were familiar with, such as chicken, steak, and shrimp, prepared in a novel setting. He chose the teppanyaki tablea stainless steel grill surrounded by a wooden eating surfacewhere customers could watch a knife-wielding, joke-telling chef prepare and serve their food. His parents and brothers came from Japan to help him get started. Unfortunately, New Yorkers equated Japanese food with raw fish and werent comfortable sitting at a table with strangers. They ignored the midtown Manhattan eatery until the restaurant critic of the New York Herald Tribune gave it a glowing review. Suddenly, everyone in New York, including the Beatles and Muhammad Ali, wanted to sit around one of Benihana of Tokyos four teppanyaki tables. Within six months after the review the restaurant had paid for itself, and Aoki quickly opened another restaurant in a larger, fancier building. The new location provided the same teppanyaki-style cooking but was decorated with valuable art, Samurai armor, heavy wooden ceiling beams brought from Japan by Aokis father, and sliding Shoji screens to provide some privacy. 1965-80: Building a Company The Benihana concept combined reasonable prices with good food, and, by preparing what was eaten right at the table, held waste to a minimum. Profits were good, and, in 1968, Aoki opened his first Benihana of Tokyo outside New York Cityin downtown Chicago. That location made $700,000 in its first year and continued to be one of the companys top earning outlets. Between 1969 and 1972, the company opened six more of its own restaurants and licensed franchisees to open another ten. In a joint venture with the Las Vegas Hilton, the company developed Benihana Village, a 38,000-square-foot complex of restaurants, bars, and other entertainment venues. In 1972, the company grossed $12 million and the Harvard Business School selected Benihana of Tokyo as a case study of an entrepreneurial success story. With business going so well, Rocky Aoki could devote time to his other interests which included racing balloons and powerboats, collecting items ranging from vintage cars to slot machines and learning backgammon. Rocky wanted to play, Joel Schwartz, the companys president, explained in a 1989 Forbes article. To help oversee the chains operations and expansion, Aoki brought in a management company, Hardwicke Cos., as a partner in 1976. The relationship lasted only four years and, in 1980, Aoki ended the partnership, paying $3.7 million to break the contract. As Rod Willis of Management Review explained in a 1986 article, He [Aoki] felt the companys management style clashed with his predominately Oriental workforce, and he wanted to maintain control over each restaurants quality. The following year Aoki settled, without admitting any guilt, a Securities and Exchange Commission charge that he had improperly traded in Hardwicke stock while serving as vice-president of Hardwicke. The 1980s: Ups and Downs To help pay off the debt incurred in the split with Hardwicke, Aoki decided to take part of the company public. He accomplished this by having Benihana of Tokyo (BOT) form Benihana National Corporation (BNC) in 1982 and then taking the latter company public the following year. Investors paid the Miami-based BNC $11 for a unit consisting of two common shares and a warrant to buy another at $6. With the $5.5 million raised by selling half a million of these units, BNC bought 11 restaurants from Aoki in exchange for 60 percent of the BNC common stock and $2.5 million to pay BOTs debt. Later in the year, BNC bought another three restaurants from BOT for $7 million. In spite of the new corporate structure, Benihana of Tokyo and Benihana National Corporation remained under the management of the same group of executives. As corporate president, Joel Schwartz continued to oversee the day to day operation of both companies. Aoki, who served as chairman of both entities, retained 51 percent of the common stock in BNC and kept about 30 restaurants in the privately held BOT. Aoki developed new concepts for the Benihana food chain but he also continued to play hard, becoming a championship-level backgammon player and setting a world record in off-shore powerboat racing. The Double Eagle V, a 400,000 cubic-foot gas balloon, displayed the Benihana logo as it became the first crewed balloon to successfully cross the Pacific Ocean, with Aoki as one of the crew members. One of Aokis new concepts was Benihana National Classics, a line of Chinese gourmet frozen foods, introduced in 1984 and sold in supermarkets. Chinese cuisine was chosen when the company found that Japanese food didnt freeze well. Within a year the Classics were the best-selling Oriental frozen foods in the United States, with sales in one quarter alone reaching more than $40 million and profits climbing to over $4 million. The companys stock took off, going as high as $21.50 in 1985. In December of that year, Restaurant and Institution magazine named Benihana of Tokyo the most popular family-style restaurant in America. At that time, Benihana of Tokyo and Benihana National together operated or franchised restaurants in 60 locations, from Seattle to New Jersey, serving a total of 25,000 customers a day. Benihana Nationals frozen food success quickly attracted the attention of major food companies. When Campbell Soup and Stouffers began offering their own lines of Oriental frozen foods, however, Benihana couldnt compete. The company lost $11 million on frozen foods between 1985 and 1987 and finally sold the business, for $4.5 million, to the small company that had been producing the dinners for them. Frozen food, however, was not Aokis only new idea. In 1985, Benihana National opened its first seafood restaurant, The Big Splash, just north of Miami. Aoki believed the sea would be the primary supplier of food in the future, and, borrowing an idea from a Malaysian fish market, came up with the concept of a seafood marketplace/restaurant. Customers could choose from hundreds of varieties of fresh seafood, decide how they wanted it cooked, and watch it being prepared. The idea was so popular initially that a second Big Splash was opened. The seafood restaurants soon experienced difficulty, however, registering losses of $2.7 million during 1987. The wide variety of options ran completely counter to the tight focus and minimal waste of the Benihana steakhouses. At the Miami location, the majority of customers were retirees who resented the high prices and preferred to eat fish they were familiar with. All we sold was salmon and red snapper, Aoki told Eric Schmukler in a March 1989 Forbes article. The company closed its Big Splash outlets in March 1988. The 1988 fiscal year was a hard one for Benihana, as the company recorded a loss of nearly $7 million. Despite the companys financial problems with Classics and Big Splash, the Benihana restaurants themselves were still popular. By the end of fiscal 1989, the publicly owned Benihana National Corp. reported profits of some $1.8 million on sales of $34 million at its 20 restaurants, with Aokis privately-held Benihana of Tokyo taking in similar revenues. 1990-94: Making a Turnaround Rocky Aoki kicked off the new decade by opening a gallery in one of the Miami Benihana restaurants to display a portion of what was becoming known in the art world as the Rocky Aoki Collection. Having spent more than a year consolidating his diverse collections, Aoki told Antiques Collecting, I think its a natural to have a gallery here. More than 90,000 people eat in this restaurant every year; why not provide them with something beautiful to look at, not to mention buy, if they so desire. In a 300-square-foot space that had been the restaurants gift shop, diners could view etchings by Icarts, lamps by Tiffany and Handel, and bronzes by Remington. The publicity about Aokis collection helped generate business for the restaurant, and overall company revenues continued to grow. Profits, however, were less than a million dollars a year, and BNC stock fell below $1 a share. Angry at the situation, some shareholders sued. As Marilyn Alva reported in a 1992 Restaurant Business article, the shareholders claimed Aoki and his management team were in a conflict of interest by managing the two companies. The complainants further maintained that Benihana management had misappropriated the assets of Benihana National Corporation, passing them through Benihana of Tokyo for their personal benefit. The shareholders, however, were ultimately unsuccessful in trying to take control of the company away from Aoki. Meanwhile, Benihana management took advantage of a health-conscious American publics growing interest in Japanese food and entertainment. With the tag line, We have been the restaurant of the 90s since the 60s, Aoki and Schwartz instituted a major advertising campaign stressing the fact that Benihana had always offered healthful food. Soon afterwards, in 1993, the Atlanta Benihana of Tokyo restaurant added an 18-seat sushi bar and 35-seat Karaoke dining room to draw more customers on weekday nights. Despite the higher labor and food costs associated with sushi, the company reported an increase in beverage sales, and a lot of sampling of the $.99 sushi pieces by people waiting to eat at the traditional teppanyaki tables. Learning from its experience a decade earlier, in 1994 Benihana National Corp. decided to get into the frozen food business again. This time, however, by entering into a licensing agreement with Campbell Soup Co., the company hooked up with a major marketer rather than trying to compete with the big names. The new product was a line of frozen stir-fry kits featuring the Benihana trademark. The dinners served six people and sold for about $8.00. As Peter McMullin, an analyst with Southeast Research Partners, told Florida Review.Net, This time the strategy makes sense because it is linking with a high profile food company to help strengthen the distribution side and offsetting the razor-thin margins of retail by manufacturing with a low cost producer like Campbell. By the end of the fiscal year, revenues were over $70 million, with profits up 41 percent to $2.4 million. 1995 and Beyond: A New Company At the beginning of 1995, Benihana National announced it would buy Aokis 21 Benihana of Tokyo restaurants on the U.S. mainland, along with the U.S. rights to the Benihana trademark, for about $6.15 million. On May 16, a newly created subsidiary, Benihana Inc., acquired the BOT restaurants and, through a merger, simultaneously acquired Benihana National. BNC shareholders received one share in the new holding company for each of their shares of Benihana National. Aoki continued to serve as chairman of the new company and Schwartz as president. Benihana Inc. now owned or licensed the 43 Benihana restaurants in the continental United States along with a franchise in Honolulu. It also had the rights to develop or license Benihana restaurants in Central and South America and the Caribbean Islands. Aoki kept private his Benihana of Tokyo restaurants in Hawaii, Britain, and Thailand. During 1995, the new company took several steps to attract more customers. Benihana introduced weekend luncheon service and, following the success in Atlanta, opened sushi bars in seven locations. The company also instituted a national Karaoke contest for its patrons. In the fall, the company opened its first smaller format unit, called the Benihana Grill, in Sacramento. At 3,800 square feet, the Grill format was less than half the size of the traditional Benihana, and enabled the company to open units in smaller locations, particularly in urban areas. Schwartz had been refining this format since 1989 as an alternative to the companys more common free-standing, special use restaurant buildings. The Benihana Grill was designed to accommodate 10 to 12 teppanyaki tables, compared to the 18 tables in the typical Benihana. Analyst Peter McMullin remarked, Initial indications are encouraging even before the grand opening. With the lower capital costs of approximately $500,000 versus a stan d-alone restaurant cost of $2 million, this could become an enormous growth vehicle for Benihana. The new hours and offerings helped increase guest counts in existing restaurants by 8.7 percent and same store sales by an average of 7.7 percent for fiscal 1996. This rise, plus the addition of the Benihana of Tokyo restaurants and the new Benihana Grill, resulted in annual revenues of over $81 million. Benihanas growth came primarily from increased traffic in its existing restaurants, and the company continued to support that strategy. Early in 1996, in an effort to gain a larger share of the ethnic market, the company launched Spanish-language television advertisements in Miami and Los Angeles. In May, Benihana kicked off a two-year, $5 million ad campaign, focusing on the entertainment value of teppanyaki cooking. We want to bring the Benihana name to a different audience, company president Joel Schwartz told Nations Restaurant News in a May 6, 1996 article. The ads show that Benihana is a place the entire family can come to and have a good timea place they will see the chef perform and flip shrimp. Individual restaurants also developed innovative marketing techniques. A visit and meal at the Benihana in Bethesda, Maryland, for example, is one of the activities in the countys social studies curriculum for third graders learning about Japan. The company did not depend entirely on its existing restaurants for growth. During 1996, it also signed leases for several more Benihana Grills and expanded its franchise operations, including restaurants in Bogota, Columbia, and Aruba, Netherlands Antilles. Benihanas track record of steady growth in same store sales, rising customer count, and profitability appeared to be continuing into the late 1990s as revenues for the first half of fiscal 1997 were up over eight percent from the year before. Further Reading: Alva, Marilyn, Very Rocky Business: Aoki Besieged by Shareholder Suits, Restaurant Business, February 10, 1992. Benihana Buying Founder Aokis Units, Nations Restaurant News, January 16, 1995, p. 14. Benihana Profits Rise 67% for First Nine Months of Fiscal 95, Nations Restaurant News, February 12, 1996, p. 12. Benihana Testing Stir-Fry Kits, Supermarket News, October 17, 1994, p. 28.

A Literature Review of Association Rules in Mining

A Literature Review of Association Rules in Mining Abstract Mining association rules is an essential job for information discovery. Past transaction data can be analyzed to discover client behaviors such that the superiority of business decision can be improved. The approach of mining association rules focuses on discovering large item sets, which are groups of items that come into view together in a sufficient number of dealings. Association rules are if/then statements that help uncover relationships between seemingly unrelated data in a information repository. In this paper we will show by experimental results the behavior of apriori algorithm. Weshall describes the basic concepts of association rules mining, the basic model of mining association rules. Finally, this paper describes the association rules mining and its techniques. Introduction Association rules mining is an important task in data mining. It is a popular and well researched method for discovering strong associations between variables in large databases. It is intended to discover strong rules between different variables in databases. A large amount of data can easily be analyzed to discover customer purchasing behavior which improve business behavior. The goal of the association rules mining is to identify items that are bought together by sufficiently many customers. The strong relation between different items in the market are existing like the peoples who buy milk also tends to buy bread and eggs in this sentence there is a relation between milk and bread. So association rules are used to identify these relationships between items for the improvement of business behavior. Association rules can be expressed as: R: X==>Y, where: X à ¢Ã…  Ã¢â‚¬Å¡ I, Y I, and X, it is said that if the item set X occurs in a transaction, then Y will inevitably appears in the transaction. Therefore, X is called a prerequisite for the rule; Y is the result of the rule. Support and Confidence are two different interestingness for measure. Support of an item I is the number of transactions that support (contains) I, and Confidence compares the number of times the pair was purchased to the number of times one of the items in the pair was purchased. In probability terms this is referred to as the conditional probability of the pair. For example, if a supermarket database has 100,000 point-of-sale transactions out of which 2,000 include both items A and B and 800 of these include item C, the association rule If A and B are purchased then the item C is also purchased on the same trip has a support of 800 transactions (alternatively 0.8% = 800/100,000) and a confidence of 40% (=800/2,000). A huge number of association rules can be identified if the database is large. So for minimizing association rules minimum Support and Confidence are considered, both are specified by the user which help us to and valuable rules from database. Association Rule Mining Algorithms A-priori Algorithm Principle of Apriori Algorithm: If an item set is frequent, then all of its subsets must also be frequent. Apriori algorithm is a classical and breadth first search association rules algorithm. This algorithm was first proposed by Agrawal et al in 1993.Apriori algorithm strategy is to separate association rule mining tasks into two steps: First discover frequent item sets, and the second is the Generating of Association rules, it extracts high confidence rules from the frequent item sets. The first step for mining frequent item sets the algorithm will produce a large number of Items; the algorithm will execute K iterations where K is the number of items in the second iteration the algorithm produce some frequent item sets with the first selected frequent item set. After the K iteration the algorithm produce the superset of all frequent items. Here the basic idea of generating frequent item sets is: First step, statistics the frequency of the set with an element, and identify those item sets that is not less than the minimum support, that is, the maximum one-dimensional item sets. Then start the cycle processing from the second step until no more maximum item sets generated. The cycle is: in the first step k, k-dimensional candidate is generated form (k-1) dimensional maximum item sets, and then scans the database to get the candidate item set support, and compare with the minimum support, k-dimensional maximum set is found. The apriori algorithm takes advantage of the fact that any subset of a frequent item set is also a frequent item set, therefore it reduce the number of candidates being considered by only exploring the item sets whose support count is greater than the minimum support count snf all infrequent item set can be pruned if it has an infrequent subsets. Apriorialgorithm is breadth-first algorithm, therefore if the database is too large then it suffer from a number of inefficiencies by creating a large number of subsets. Apriori algorithm uses sets intersections to determine support values. It determines the support values of all (K-1) candidates before counting the K candidates. The dataset may be too large thus the problem is that the resulted frequent item set may be exceeded with main memory and wasting of time to Figure 1: Apriori algorithm Pseudo code. Figure 2: Improved version of Apriori Algorithm Hold a large number of candidate set with much frequent item sets. So to overcome this problem the dataset is partitioned in different chunks and each chunk is treated independently. And then the resulted frequent items are merged with one extra scan. Applications: Basket data analysis, cross-marketing, catalog design, sale campaign analysis, Web log (click stream) analysis, and DNA sequence analysis. 2.1.1. Variation in Apriori Algorithm The limitation of appriori algorithm is improved by the improved version ofappriori algorithm. It is to be defined as: Suppose Ck is the candidate item set of size k, and Lk is the frequent item set of size k in the proposed approach the algorithm is improved by reduce the time consuming for candidates item set generation. Here the algorithm firstly scan all transactions to generate L1 which contains all items, and found their support and transaction ID, and then L1 is used as a helper to generate L2, L3.Lk, then generate C2 by joining L1 * L1 to construct 2-itemset C(x,y) where x,y are the items of C2. Before scanning all transaction records to count the support count of each candidate, use L1 to get the transaction IDs of the minimum support count between x and y, and thus scan for C2 only in these specific transactions. The same thing for C3, construct 3-itemset C (x, y, z), where x, y and z are the items of C3 and use L1 to get the transaction IDs of the minimum support count bet ween x, y and z, then scan for C3 only in these specific transactions and repeat these steps until no new frequent item sets are identified. FP-Growth Algorithm FP-growth algorithm is one of the latest and most efficient algorithms in depth-first algorithm. It allows frequent item sets discovery without candidates item set generation. It is a two step approaches, first build a compact data structure called FP-tree and then extract the frequent item sets directly from the FP-tree. Compared with Apriori Algorithm, FP-growth has the following advantages: To avoid multiple dataset scanning it scan only the dataset twice. It increases space and time efficiency. But its difficulty lies in large and sparse datasets, in the mining processing and recursive computations require considerable space. Applications: Basket data analysis, frequent patterns. Association Rules Applications 3.1. Market Based Data Analysis A typical and widely-used example of association rule mining is market basket analysis. It is a technique that discovers relationships between pairs of products purchased together. The technique can be used to identify the items having strong relationship. The idea behind market basket analysis is simple, simply examine the order of products have been purchased together. For example in market basket analysis the fact might be uncover that if a customer buy milkalso tends to buy breads. So using this information we might organize our store that milk and bread next to each other. For doing market basket analysis there is some couple of measures is used, which is frequency, minimum Support and minimum Confidence, frequency is the number of times two products were purchased together, and minimum Support and Confidence are discussed before. Market Basket Analysis print report about given items, for example if we need to find relationship of Milk with others Bread, Eggs and Cheeses, then market basket analysis print a reports. TheReport consists of the products name, Frequency, Support and Confidence. Market Basket Analysis: Milk Product Frequency Support Confidence Breeds 820 82% 91.1% Cheese 800 80% 23.5% Eggs 750 75% 34% The higher the confidence means that there is a probably of strong relationship between the products. In the above example confidence of Milk and Breads shows that in 91% of transactions Milk and Bread are sold together. 3.2 Customer Relationship Management (CRM) Customer Relationship Management is a combination of business process and technology that seeks to understand a companys customers from the perspective of who they are, what they do, and what they are like. Here we are focusing on the CRM of banking sector, which are focused to find the preference of different customer, to provide services to the customer to enhance cohision between customers and the bank. Association rules are used to identify customer preferences and customer behavior. Conclusion Association rules mining are a popular and well researched method for discovering strong associations between variables in large databases. In this paper we have describe Association rules mining which is the important task of data mining. Then we describes techniques for the Association rules which is apriori and FP-growth algorithm, the limitation of apriori algorithm was inefficiency in case of large database by checking all k-1 items, the improve apriorialgorithm overcome this problem by finding transactions ids of every frequent item and then for k+1 set generation used that k-1 table and search only those transactions in which the current item are exist. According to this the efficiency of the algorithm is improved. Then we discuss FP-growth algorithm which is depth first search and fastest algorithm, it uses tree to find frequent item sets. In the last the application of association rules Market basket data analysis and Customer Relationship management are discussed in this pa per. References Mohammed Al-Maolegi, Bassam Arkok Jordon, An improved apriori algorithm for association rules International Journal on Natural Language Computing (IJNLC) Vol. 3, No.1, February 2014. Ruowu Zhong and Huiping Wang China Research of Commonly Used Association Rules Mining Algorithm in Data Mining 2012. S. Rao, R. Gupta, Implementing Improved Algorithm Over APRIORI Data Mining Association Rule Algorithm International Journal of Computer Science And Technology, pp. 489-493, Mar. 2012. Jiawei Lian , Michelins Kamber. Data mining: Concepts and Techniques [M]. America: Morgan Kaufman Publishers, 2000. Market basket data analysis http://www.albionresearch.com/market_basket Show-Jane Yen and Arbee L.P. Chen Taiwan An Efficient Data Mining Technique for Discovering Interesting Association Rules2010

Aphrodite :: essays research papers

APHRODITE (a-fro-DYE-tee; Roman name Venus) was the goddess of love, beauty and fertility. She was also a protectress of sailors. The poet Hesiod said that Aphrodite was born from sea-foam. Homer, on the other hand, said that she was the daughter of Zeus and Dione. When the Trojan prince Paris was asked to judge which of three Olympian goddesses was the most beautiful, he chose Aphrodite over Hera and Athena. The latter two had hoped to bribe him with power and victory in battle, but Aphrodite offered the love of the most beautiful woman in the world. This was Helen of Sparta, who became infamous as Helen of Troy when Paris subsequently eloped with her. In the ensuing Trojan War, Hera and Athena were implacable enemies of Troy while Aphrodite was loyal to Paris and the Trojans. IN HOMER In his epic of the Trojan War, Homer tells how Aphrodite intervened in battle to save her son Aeneas, a Trojan ally. The Greek hero Diomedes, who had been on the verge of killing Aeneas, attacked the goddess herself, wounding her on the wrist with his spear and causing the ichor to flow. (Ichor is what immortals have in the place of blood.) Aphrodite promptly dropped Aeneas, who was rescued by Apollo, another Olympian sponsor of the Trojans. In pain she sought out her brother Ares, the god of war who stood nearby admiring the carnage, and borrowed his chariot so that she might fly up to Olympus. There she goes crying to her mother Dione, who soothes her and cures her wound. Her father Zeus tells her to leave war to the likes of Ares and Athena, while devoting herself to the business of marriage. Elsewhere in Homer's Iliad , Aphrodite saves Paris when he is about to be killed in single combat by Menelaus. The goddess wraps him in a mist and spirits him away, setting him down in his own bedroom in Troy. She then appears to Helen in the guise of an elderly handmaiden and tells her that Paris is waiting for her. Helen recognizes the goddess in disguise and asks if she is being led once more to ruin. For Aphrodite had bewitched her into leaving her husband Menelaus to run off with Paris. She dares to suggest that Aphrodite go to Paris herself. Suddenly furious, the goddess warns Helen not to go too far, lest she be abandoned to the hatred of Greeks and Trojans alike.

Fly in Buttermilk Essay -- essays papers

Fly in Buttermilk James Baldwin is a very perceptive man and usually gets his point across pretty well. In his excerpt â€Å"A Fly in Buttermilk†, Baldwin discusses his encounter with a southern family. This family includes a young black male who is enrolled in an all white high school. He asks of the boy’s troubles and discusses his responses. For the very first words of this excerpt Baldwin states â€Å"You can take the child out of the country, but you can’t take the country out of the child.† This bases on the whole excerpt. For my own interpretation I took this as a self-reflection upon one own environment. I know personally from my own experiences that the environments in which I was raised in from my parents and friends to my living in a city and a suburb reflect my opinion of what others speak of. What you are accustomed to become the normal and what you are not accustomed to become the odd. For example, in this excerpt Baldwin talks to an old man of the south. Baldwin tells of how he has seen picture of people being hung in the south, but this old man has actually experienc...

Views of Enineering Students Towards Te 2013 Election

Chapter 1 Introduction This chapter deals with the background of the study, statement of the problem, hypothesis of the study, significance of the study, scope and limitation of the study and definition of terms. Background of the Study The 2013 election to the Senate of the Philippine, where we will elect on the 12 of the 24 seats in the senate, will be held on May 13, 2013. Senators elected in this election will serve up to 2019, a total of 6 years in service to the nation.Of all the Filipino voters, the youth constitutes 60 percent, of which legal voters of the first year students of USeP will take part. Most voters of the freshmen of the University of Southeastern Philippines are first time voters and of no experience to a national election. And to vote, we do it wisely by taking necessary measures into knowing the righteous candidate through learning what she has done and will be able to do for the nation. We must know, understand and analyze the steps the first time voters do t o be able to choose the right candidates for the 12 seats in the congress.Deciphering how the first time voters view the 2013 senatorial elections is critical to understanding how they would vote and nevertheless who they would probably vote. Statement of the Problem How do registered voters of freshmen of the engineering department of the University of Southeastern Philippines take the 2013 senatorial elections? What steps are taken by the registered voters of the first year engineering students of the University of Southeastern Philippines towards the choosing the best candidate for the 2013 senatorial election. Significance of the StudyMost voters of the freshmen of the University of Southeastern Philippines are first time voters and of no experience to a national election. And to vote, we must do it wisely and with the right knowledge of what a senator could do to serve our country. We must know, understand and analyze the steps the first time voters do to be able to choose the right candidates for the 12 seats in the senate. Scope and Limitations This study covers how first year engineering students of the University of Southeastern Philippines view the 2013 senatorial elections.Also, this study covers the preparations and the readiness the freshmen of the college of engineering of the University of Southeastern Philippines had done towards choosing the deserving candidate for senator for the 2013 senatorial elections. This study also analyzes the results of the survey in order to understand the statistics of the actions done by the sampled voters of the freshmen of the college of engineering of the University of Southeastern Philippines.This study is limited to knowing and understanding and opinions of the freshmen of the college of engineering of the University of Southeastern Philippines towards the 2013 senatorial elections. This study will not cover the likely senators that the first time voters would vote for. Conceptual Framework This figure presen ted below shows the frameworks of the study. Review of Related Literature 2013 Election The 2013 Philippine general election on 13 May 2013 will be a midterm election, as the officials elected will assume office on 30 June 2013, or midway into President Benigno Aquino III's term of office.There will be elected twelve senators, 229 district members of the House of Representatives, 80 provincial governors, 80 provincial vice governors, 766 members of the Sangguniang Panlalawigan (provincial legislature), 138 city mayors, 138 city vice mayors, 1,532 members of the Sangguniang Panlungsod (city council), 1,496 municipal mayors, 1,496 municipal vice mayors, and 11,972 members of the Sangguniang Bayan (municipal council). In the Autonomous Region in Muslim Mindanao (ARMM), there will be elected one regional governor, one regional vice governor, and 24 regional assemblymen. Party-list representatives will also be elected.In total, there will be 18,022 national and local positions decided. B arangay officials, including barangay captains, will not be elected in May. The 2013 Philippine barangay and Sangguniang Kabataan elections are scheduled to be held in October 2013. Preparation to the 2013 Senatorial Election Major preparations made by the Comelec included â€Å"exercising the option to purchase the Precinct Count Optical Scan (PCOS) machines, cleansing the party-list system of representation, annulling the book of voters as well as the subsequent holding of a general registration of voters in the Autonomous Region in Muslim Mindanao (ARMM),† Brillantes said.The Comelec also conducted registration of voters, mock elections, configuration and printing of ballots. Comelec is all set to get the job done armed with competency, transparency and unsullied integrity, Brillantes said. He also cited the start of the Comelec gun ban that coincided with the opening of the election period last January 13. â€Å"I am confident that the Comelec, with the usual support and trust coming from various sectors of the society especially from the general public, will bring about another historic and successful elections,†Chapter 2 Methodology This chapter deals with research design, the respondents, research corpora and research data gathering procedure. Research Design We have used Qualitative design for this research for our goals is to gain insight, explore the depth and gather specific date thought a systematic subjective approach to the views of the freshmen engineering student of the University of Southeastern Philippines to senatorial election this May 13, 2013. Respondents We were able to survey 30 students in College of Engineering, USeP, Davao City.We asked them what are their opinions and what kind of candidate would they vote for. Some of our Respondents opinions Margarito Benavente – Electrical Engineering student at the University of Southeastern Philippines I will vote for the candidate who cares for the country and not who care s for their pockets. For the government to change you need a new set of leaders with integrity and honest. James Vincent de Cadiz †¢ Mechanical Engineering student at the University of Southeastern Philippines Well for me, i'll vote someone who is true in what she does. I'll vote for Loren Legarda Research Corpora To gather information, the researchers asked Freshmen students in College of Engineering of University of Southeastern Philippines. Research Data Gathering Procedure These are the procedures in gathering data made by researchers: procedures in gathering data made by researchers: Finding the possible Respondents The Researchers first surveyed to find out who will be the first time voters among the first year engineering students. Asking the RespondentsThe researchers asked the respondents to conduct a survey . Collecting the Data from the Respondents The researchers asked a set of questions to the respondents. Analyzing the Data Gathered The researchers analyzed the da ta gathered. Chapter 4 Presentation, Analysis and Interpretation of Data Results MaleFemale Eligible to Vote1119 Registered Voter918 Prepared to Vote917 Total number Surveyed1119 Interpretation of Data In this study, we have surveyed 30 students in the first year college of engineering of the University of Southeaster Philippines.From the 94 students a total of 36 students were eligible to vote, 28 students were registered to vote for the 2013 Senatorial Election, 22 were prepared and knowledgeable of whom they would vote. Among the areas surveyed the female contributed to a larger percentage. Chapter 5 Summary, Conclusions and Recommendations Summary of Findings From the randomly surveyed population of the first year college of engineering of the University of Southeastern Philippines, 96% of the total registered voters have been taking the necessary preparations towards identifying deserving candidates to be voted during the 2013 election.Methods of their preparation included watc hing regular news about congress and seeking additional information of the candidates by using the internet. Conclusion The study concludes that the registered voters of the first year college of engineering of the University of Southeastern Philippines are ready to vote in the 2013 Senatorial Elections. Recommendations We recommend the significant number of students in the first year college of the University of Southeastern Philippines to register for 2013 Senatorial Elections to express every right of the Filipino.