business intelligence‚ data warehouse‚ data mining‚ text and web mining‚ and knowledge management. Justify and synthesis your answers/viewpoints with examples (e.g. eBay case) and findings from literature/articles. To understand the relationships between these terms‚ definition of each term should be illustrated. Firstly‚ business intelligence (BI) in most resource has been defined as a broad term that combines many tools and technologies‚ used to extract useful meaning of enterprise data in order to help
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Stock Exchange forecasting with Data Mining and Text Mining (Marketing and Sales Analysis) Full names : Fahed Yoseph TITLE : Senior software and Database Consultatnt (Founder of Info Technology System) E-mail: Yoseph@info-technology.net Date of submission: Sep 15th of 2013 CONTENTS PAGE Chapter 1 1. ABSTRACT 2 2. INTRODUCTION 3 2.1 The research problem. 4 2.2 The objectives of the proposal. 4 2.3 The Stock Market movement. 5 2.4 Research question(s). 6 2. Background 3. Problem
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Components of DSS (Decision Support System) Data Store – The DSS Database Data Extraction and Filtering End-User Query Tool End User Presentation Tools Operational Stored in Normalized Relational Database Support transactions that represent daily operations (Not Query Friendly) Differences with DSS 3 Main Differences Time Span Granularity Dimensionality Operational DSS Time span Real time Historic Current transaction Short time frame Long time frame Specific Data facts Patterns Granularity Specific
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What is Alpine Warehouse? Alpine Warehouse is a retailer of downhill and cross-country skis and snowboards. The company stocks the skiing gear by major brands such as K2 and Rossignol. Alpine Warehouse also sells outdoor clothing and winter-sports accessories along with a selection of skiing and snowboarding DVDs. Alpine Warehouse is committed to providing outstanding customer service‚ far beyond the expectations of their customers. They also strive to provide the best products and work towards making
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DATA INTEGRATION Data integration involves combining data residing in different sources and providing users with a unified view of these data. This process becomes significant in a variety of situations‚ which include both commercial (when two similar companies need to merge their databases and scientific (combining research results from different bioinformatics repositories‚ for example) domains. Data integration appears with increasing frequency as the volume and the need to share existing data explodes
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SMS CUSAT Reading Material on Data Mining Anas AP & Alex Titty John • What is Data? Data is a collection of facts and information or unprocessed information. Example: Student names‚ Addresses‚ Phone Numbers etc. • What is a Database? A structured set of data held in a computer which is accessible in various ways. Example: Electronic Address Book‚ Phone Book. • What is a Data Warehouse? The electronic storage of large amount of data by business. Concept originated in
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Running head: WAREHOUSE SECURITY ASSESSMENT Abstract This security assessment is provided at the request of Southbound LLC warehouse complex located at 537 Pier Road from January 14-19‚ 2010. Southbound LLC is an import/export company specializing in imports of manufactured goods from Honduras and Guatemala and the export of non-perishable food items to the same. Their warehouse complex is comprised of five warehouses joined together with an office located at 537 Pier Road in the Rincon
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total asset‚ cash reserve ratio and interest rate and in order to maintain significant impact on the economy. While loans and advances should be checkmated in such a way that loans issued out should be to the productive sectors of the economy so as to have significant impact on the economy. Also‚ exchange rate should be seriously looked into in-line with the economic growth policy. Government should ensure proper implementation and enforce strict compliance with banking reforms and exchange rate policies
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Chapter 1 Exercises 1. What is data mining? In your answer‚ address the following: Data mining refers to the process or method that extracts or \mines" interesting knowledge or patterns from large amounts of data. (a) Is it another hype? Data mining is not another hype. Instead‚ the need for data mining has arisen due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. Thus‚ data mining can be viewed as the result of
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Contents : 1. Reasons for warehousing 2. Benefits 3. Warehouse operating principles 4. Types of Warehouse 5. Warehouse strategies 6. Warehouse location strategies 7. Site selection 8. Transport Sorting The basic benefit of sorting is to reconfigure freight as it is being transported from origin to destination. Three types of assortment - Cross-Docking ‚ Mixing and Assembly- are widely performed in logistic system. The objective of cross-docking is‚ replenish
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