company name] | LITGB ASSIGNMENT | Ques-1 What is data mining‚ data warehousing‚ ERP‚ SCM (supply chain mgt)‚ CRM and cloud computing and how these concepts/technology are related to each other? ANSWER a) Data warehousing * Data warehousing is a technique. * A data warehouse is a subject-oriented‚ integrated‚ time-variant and non-volatile collection of data in support of management’s decision making process. * Data warehousing can be used to analyze a particular subject
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show what customers are thinking and feeling about future buying decisions. Uncovering customers’ behavior patterns and attitudes involves collecting relevant transactional and survey data‚ placing the data into a data repository‚ and then applying analytical techniques. After the information is collected from the data‚ an
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Coalition Programs Coalition loyalty programs can be extremely effective. Coalition programs involve a group of dissimilar businesses working together to offer membership benefits. Coalition Loyalty Programmes: the who‚ why‚ and how big? By By Peter Clark (co-author‚ The Loyalty Guide) Published by The Wise Marketer in April 2006 There are two types of multi-partner programme: true coalitions and in-house programmes that have partners. Here we explore the strengths‚ weaknesses‚ opportunities
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Computer Science‚ Eindhoven University of Technology‚ the Netherlands Abstract. The monitoring and support of university freshmen is considered very important at many educational institutions. In this paper we describe the results of the educational data mining case study aimed at predicting the Electrical Engineering (EE) students drop out after the first semester of their studies or even before they enter the study program as well as identifying success-factors specific to the EE program. Our experimental
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AN E-BOOK SERIES Publishers of Big Data DATA SCIENCE BIG DATA PREDICTIVE MODELING HARNESSING THE POWER OF BIG DATA THROUGH EDUCATION AND DATA-DRIVEN DECISION MAKING Sponsored by OPEN SOURCE DATA ANALYTICS Bigger. Faster. Better. Revolution R Enterprise is fast‚ powerful‚ and scales to fit your needs. Perform Big Data Analytics at speed and at scale. R-based analytics in-Hadoop and in-Database reduce latency and eliminate sampling. RRE is 100% R—get everything
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system solve these problem? (12 Marks) (Total: 20 Marks) 2. Answer the following questions on data mining: i) What makes data mining an important business tool? (6 Marks) ii) What types of information does data mining produce? (6 Marks) iii) In what type of situation would you advise a company to use data mining? (8 Marks) (Total: 20 Marks) 3. BizFashion (BF) is a fashion retailer with a chain of 20 shops‚ each
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1.6 Databases and data warehousing management of Pages Comment Pages have some few 250000 loyal customers regularly shopping at the pages stores these customers are predominantly black. Pages endeavoured to provide a full wardrobe of reason quality to satisfy the needs of the customers and their children at a fair price on credit and cash. Based on Pages 250000 customer databases these factors can be examined. Pages database factors: * Transaction: This include a complete purchase history
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time and money whilst also boosting customer satisfaction rates. 7. Tullis Russell 8. Hornby Plc 9. Henry Colbeck Limited 10. Niche Retail group 11. Countax 12. Character World 13. Concord Filling products Almost every company provides Data warehouse which is nothing but a database
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weather data (in weather.arff). For test options‚ first choose "Use training set"‚ then choose "Percentage Split" using default 66% percentage split. Report model percent error rate. ZeroR (majority class) OneR Naive Bayes Simple J4.8 C. Which of these classifiers are you more likely to trust when determining whether to play? Why? D. What can you say about accuracy when using training set data and when using a separate percentage to train? Assignment 2: Preparing the data and mining it A.
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Computerize information systems are generally much faster at storing and retrieving data and at performing calculations than their non-computerized equivalents. Many activities that involve the retrieval‚ analysis or synthesis of large quantities of data are not feasible for people to carry out manually‚ even though it may be technically possible for this to be done. One example is the growing use of data warehouses and data mining software by marketing companies to product very detailed information about
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