Download Fundamental of Data Mining

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