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Author: Admin | 2025-04-28
Title: Data Mining Basics 1 Data Mining BasicsDatabase Modeling and DesignChapter 8 (Part D)Instructor Paul Chen 2TopicsHow Data Mining Evolved? Decision Processing Overview and Tasks Data Mining, Whats it? Data Mining vs. Data Warehousing How Data Mining Works? And Its Applications Data Mining Operations and Associated Techniques The Data Mining Process Data Mining Tools Data Mining Applications For CRM Data Mining From Government Printing Office Data Mining Techniques- A Summary 3Topic 1How Data Mining Evolved?Many businesses have invested heavily in information technology to help them manage their businesses more effectively and gain a competitive edge. Increasingly large amounts of critical business data are being stored electronically and this volume is expected to continue to grow. The Data Mining technology is helping companies leverage their existing data more effectively and obtain insightful information giving them a competitive edge. 4How Data Mining Evolved?1960s Data Collection1970s-80s RDBMS1990s OLAP and DWLate 1990s to Now Data MiningTime Line 5Topic 2 Decision Processing OverviewDecision processing systems, and their underlying analytical applications, provide business users with the information they need to track and analyze business trends, and to explore new business opportunities. As businesses become increasingly competitive and complex, effective decision processing systems are essential for success. 6The Next Generation of Business IntelligenceA decision processing system analyzes business information captured from operational systems (Back-and-front office, and e-business applications). Distribution of business information to business users is via corporate intranets and extranets. The flow of data can be thought of as an information supply chain whose objective is
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