![]() ![]() Watch out: Is everything “data mining”? (Deductive) query processing. ![]() What is data mining? Data Mining: On what kind of data? Data mining functionality Are all the patterns interesting? Classification of data mining systems Major issues in data mining April 21, 2017ĭata explosion problem Automated data collection tools and mature database technology lead to tremendous amounts of data accumulated and/or to be analyzed in databases, data warehouses, and other information repositories We are drowning in data, but starving for knowledge! Solution: Data warehousing and data mining Data warehousing and on-line analytical processing Miing interesting knowledge (rules, regularities, patterns, constraints) from data in large databases April 21, 2017ĭata collection, database creation, IMS and network DBMS 1970s: Relational data model, relational DBMS implementation 1980s: RDBMS, advanced data models (extended-relational, OO, deductive, etc.) Application-oriented DBMS (spatial, scientific, engineering, etc.) 1990s: Data mining, data warehousing, multimedia databases, and Web databases 2000s Stream data management and mining Data mining with a variety of applications Web technology and global information systems April 21, 2017Ĥ What Is Data Mining? Data mining (knowledge discovery from data)Įxtraction 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. ![]() Introduction Motivation: Why data mining? ![]()
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