数据挖掘datamining_intro课件.ppt

Data Mining: Introduction;Lots of data is being collected and warehoused Web data, e-commerce purchases at department/grocery stores Bank/Credit Card transactions Computers have become cheaper and more powerful Competitive Pressure is Strong Provide better, customized services for an edge (e.g. in Customer Relationship Management) ;Why Mine Data? Scientific Viewpoint;Mining Large Data Sets - Motivation;What is Data Mining?;What is (not) Data Mining?;Draws ideas from machine learning/AI, pattern recognition, statistics, and database systems Traditional Techniquesmay be unsuitable due to Enormity of data High dimensionality of data Heterogeneous, distributed nature of data;Data Mining Tasks;Data Mining Tasks...;Classification: Definition;Classification Example;Classification: Application 1;Classification: Application 2;Classification: Application 3;Classification: Application 4;Classifying Galaxies;Clustering Definition;Illustrating Clustering;Clustering: Application 1;Clustering: Application 2;Illustrating Document Clustering;Clustering of SP 500 Stock Data;Association Rule Discovery: Definition;Association Rule Discovery: Application 1;Association Rule Discovery: Application 2;Association Rule Discovery: Application 3;Sequential Pattern Discovery: Definition;Sequential Pattern Discovery: Examples;Regression;Deviation/Anomaly Detection;Challenges of Data Mining