08-03-2012, 04:35 PM
data mining full report
[attachment=18131]
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
Real Example from the NBA
Play-by-play information recorded by teams
Who is on the court
Who shoots
Results
Coaches want to know what works best
Plays that work well against a given team
Good/bad player matchups
Advanced Scout (from IBM Research) is a data mining tool to answer these questions
Why Data Mining?—Potential Applications
Data analysis and decision support
Market analysis and management
Target marketing, customer relationship management (CRM), market basket analysis, cross selling, market segmentation
Risk analysis and management
Forecasting, customer retention, improved underwriting, quality control, competitive analysis
Fraud detection and detection of unusual patterns (outliers)
Other Applications
Text mining (news group, email, documents) and Web mining
Stream data mining
DNA and bio-data analysis
[attachment=18131]
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
Real Example from the NBA
Play-by-play information recorded by teams
Who is on the court
Who shoots
Results
Coaches want to know what works best
Plays that work well against a given team
Good/bad player matchups
Advanced Scout (from IBM Research) is a data mining tool to answer these questions
Why Data Mining?—Potential Applications
Data analysis and decision support
Market analysis and management
Target marketing, customer relationship management (CRM), market basket analysis, cross selling, market segmentation
Risk analysis and management
Forecasting, customer retention, improved underwriting, quality control, competitive analysis
Fraud detection and detection of unusual patterns (outliers)
Other Applications
Text mining (news group, email, documents) and Web mining
Stream data mining
DNA and bio-data analysis
