Overview: Chapter 2 Data Mining for Business Intelligence Shmueli‚ Patel & Bruce Core Ideas in Data Mining Classification Prediction Association Rules Data Reduction Data Visualization and exploration Two types of methods: Supervised and Unsupervised learning Supervised Learning Goal: Predict a single “target” or “outcome” variable Training data from which the algorithm “learns” – value of the outcome of interest is known Apply to test data where value is not known and will be predicted
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Athlete Warehouse Case Study Introduction Colin’s state standing has caused him to contemplate gap up his own business. His dilemmas either ar deciding wherever to find his business‚ at nice Building downtown or Exploits depression within the mall. attributable to him being discharged‚ Colin must begin earning a financial gain to measure. to try to thus he got to improve his projected sales so his earnings would be comfortable to measure on and to be able to pay back Ed’s investment within the business
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traditional information systems that prevents data sharing. c. a data warehouse control that prevents unclean data from entering the warehouse. d. a technique used to restrict access to data marts. e. a database structure that many of the leading ERPs use to support OLTP applications. 2. Each of the following is a necessary element for the successful warehousing of data EXCEPT a. cleansing extracted data. b. transforming data. c. modeling data. d. loading data. e. all of the above are necessary. 3. Which
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Warehouse Management case study From the perspective of modern logistics systems‚ storage is an important part of logistics is the logistics system‚ distribution center‚ hoping for effective logistics warehouse here‚ scientific management and control‚ so that the logistics system more smoothly‚ more reasonable to run. In this paper‚ the importance of starting from the warehouse‚ combining theory and practice‚ through an enterprise storage and logistics activities in the "space" and "cargo space"
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John Smith Dr. Daniels 2/14/13 Chapter 5 Video Case 1. Data warehouses store current as well as historical data and are used for creating trending reports for senior management reporting such as annual and quarterly comparisons. REI is building a data warehouse because they want to better serve their customers with their products. The data ware house allows REI to make the customers experience with their company a much more fulfilling one ensuring their return. 2. Consumer cooperatives
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CSE4DWD – Data Warehouse Concepts and Design Assignment‚ Semester 1 2013 (30% of total assessment) Dimensional Modelling Business Case Due Date: 9.30am Friday‚ 17th May 2013 Objectives To create a Data Warehouse conceptual design using Star Schema Modelling To document all steps during the design process This is an INDIVIDUAL assignment. You are not permitted to work in a group when writing this assignment. Copying‚ Plagiarism: Plagiarism is the submission of somebody else’s work in a manner
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Difficulty: Moderate 2. An office supply broker combines orders from fifteen small offices into a single order‚ which results in a much lower price for each of the small offices due to volume discounts. This is an example of the _______________ EC business model. a) dynamic brokering b) group purchasing c) reverse auctions d) discount purchasing e) none of the above Ans: b Section Ref 1-1 Difficulty: Moderate 3. According to Metcalfe’s Law‚ the value of a network grows roughly by a
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A Seminar Report on BUSINESS INTELLIGENCE Prepared by: Guided By: Arpan Solanki Prof.Yagnik A. Rathod 100410107063 Assistant professor TY C.E SVIT-VASAD Certificate
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understand the importance of a data warehouse 2. identify strategic advantages that an organization can derive from a data warehouse Case : Continental Airlines Flies High with its Real-time Data Warehouse As Business Intelligence (BI) becomes a critical component of daily operations‚ real-time data warehouses (DW) that provide end users with rapid updates and alerts generated from transactional systems are increasingly being deployed. Real-time data warehousing and BI‚ supporting its
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Business intelligence (BI) processes monitor and analyze business transaction processes to ensure that they are optimized to meet the business goals of the organization. These goals may be operational goals that affect daily business operations‚ tactical goals that involve short-term programs such as marketing campaigns‚ or strategic goals that entail long-term objectives like increasing revenues and reducing costs. This is a kind of predictive analytics which helps to give idea about most critical
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