![]() However, the size and volume of data being managed raises new and interesting issues. The use of database systems in supporting applications that employ query based report generation continues to be the main traditional use of this technology. 1 Background We are seeing today widespread and explosive use of database technology to manage large volumes of business data. This report highlights core algorithms that comprise data mining analytics, describes some business application scenarios for KDD, discusses issues dealing with business intelligence systems, and summarizes trends to watch out for. ![]() Today, data mining is being increasingly used and embedded in vertical solutions for business intelligence and decision support, such as platforms for Data Management, ecommerce, and critical large-scale solutions (e.g. Watson Research Center, IBM Research Division Knowledge Discovery and Data Mining (KDD) techniques are used for analyzing and discovering actionable insights from data. 1 Data Mining Analytics for Business Intelligence and Decision Support Chid Apte, T.J.
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