| Publisher | IBM | ||
|---|---|---|---|
| Format | 35.0KB PDF, requires Acrobat Rdr 5 | Date added | 12 Jan 2003 |
| Topics | Data Mining / Analysis, Business Intelligence / Data Warehousing, Decision Support / DW Front End | ||
| Downloads | 424 | ||
Knowledge Discovery and Data Mining (KDD) techniques are used for analyzing and discovering actionable insights from data. 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. CRM). This paper 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.
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