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Fundamental of Data Mining Data mining refers to extracting or mining knowledge form large database. The fundamental reason for building a data warehousing is to improve the quality of information in the organization . The fundamental recognition that information that information system must be distinguished into two types Operational system Informational system . Definition : A data warehouse is a subject –oriented , integrated ,time variant and non volatile collection of data in support of decision making . Functionality definition : A data warehouse is a database management system that facilitate on-line analytical processing by allowing data to be viewed in different dimensions or perspective to provide business intelligence . Data in the data warehouse is integrated from various heterogeneous operational systems ( like databases flate files,etc ) and future external data sources (like statistical databases etc ) 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”? Simple search and query processing (Deductive) expert systems Many Definitions –Non-trivial extraction of implicit, previously unknown information from data and potentially useful –Exploration & analysis, by automatic or semi-automatic means, of large quantities of data in order to discover meaningful patterns Knowledge Discovery (KDD) Process Knowledge Discovery (KDD) Process Data mining—core of knowledge discovery process Pattern Evaluation Data Mining Task-relevant Data Data Warehouse Data Cleaning Data Integration Databases Selection