Small screen detected. You are viewing the mobile version of SlideWiki. If you wish to edit slides you will need to use a larger device.
Multi-Dimensional View of Data Mining
Data to be mined
Database data (extended-relational, object-oriented, heterogeneous, legacy), data warehouse, transactional data, stream, spatiotemporal, time-series, sequence, text and web, multi-media, graphs & social and information networks
Knowledge to be mined (or: Data mining functions)
Characterization, discrimination, association, classification, clustering, trend/deviation, outlier analysis, etc.
Descriptive vs. predictive data mining
Multiple/integrated functions and mining at multiple levels
Data-intensive, data warehouse (OLAP), machine learning, statistics, pattern recognition, visualization, high-performance, etc.
Retail, telecommunication, banking, fraud analysis, bio-data mining, stock market analysis, text mining, Web mining, etc.