Intro - Copy.ppt
- 1. CS590D 1 What Is Data Mining? • Data mining (knowledge discovery from data) – Extraction of interesting (non-trivial, implicit, previously unknown and potentially useful) patterns or knowledge from huge amount of data – Data mining: a misnomer? • Alternative names – Knowledge discovery (mining) in databases (KDD), knowledge extraction, data/pattern analysis, data archeology, data dredging, information harvesting, business intelligence, etc. • Watch out: Is everything “data mining”? – (Deductive) query processing. – Expert systems or small ML/statistical programs
- 2. CS590D 2 Data Mining—What’s in a Name? Data Mining Knowledge Mining Knowledge Discovery in Databases Data Archaeology Data Dredging Database Mining Knowledge Extraction Data Pattern Processing Information Harvesting Siftware The process of discovering meaningful new correlations, patterns, and trends by sifting through large amounts of stored data, using pattern recognition technologies and statistical and mathematical techniques
- 3. CS590D 3 Integration of Multiple Technologies Machine Learning Database Management Artificial Intelligence Statistics Data Mining Visualization Algorithms