Data Mining: Concepts and Techniques — Slides for Textbook — — Appendix B — ©Jiawei Han and Micheline Kamber Intelligent Database Systems Research Lab School of Computing Science Simon Fraser University, Canada http://www.cs.sfu.ca November 9, 2018 Data Mining: Concepts and Techniques

Appendix B. An Introduction to DBMiner System Architecture Input and Output Data Mining Tasks Supported by the System Support for Task and Method Selection Support for KDD Process Main Applications Current Status November 9, 2018 Data Mining: Concepts and Techniques

System Architecture DBMiner: A data mining system originated in Intelligent Database Systems Lab and further developed by DBMiner Technology Inc. OLAM (on-line analytical mining) architecture for interactive mining of multi-level knowledge in both RDBMS and data warehouses Mining knowledge on Microsoft SQLServer 7.0 databases and/or data warehouses Multiple mining functions: discovery-driven OLAP, association, classification and clustering

Data Mining: Concepts and Techniques Input and Output Input: SQLServer 7.0 data cubes which are constructed from single or multiple relational tables, data warehouses or spread sheets (with OLEDB and RDBMS connections) Multiple outputs Summarization and discovery-driven OLAP: crosstabs and graphical outputs using MS/Excel2000 Association: rule tables, rule planes and ball graphs Classification: decision trees and decision tables Clustering: maps and summarization graphs Others: Data and cube views Visualization of concept hierarchies Visualization for task management Visualization of 2-D and 3-D boxplots November 9, 2018 Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques Data Mining Tasks DBMiner covers the following functions Discovery-driven, OLAP-based multi-dimensional analysis Association and frequent pattern analysis Classification (decision tree analysis) Cluster analysis 3-D cube viewer and analyzer Other function OLAP service, cube exploration, statistical analysis Sequential pattern analysis (under development) Visual classification (under development) November 9, 2018 Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques DBMiner Data and Mining Views (Working Panel) DBMiner Manager November 9, 2018 Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques OLAP (Summarization) Display Using MS/Excel 2000 November 9, 2018 Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques Market-Basket-Analysis (Association)—Ball graph November 9, 2018 Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques Display of Association Rules in Rule Plane Form November 9, 2018 Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques Display of Decision Tree (Classification Results) November 9, 2018 Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques Display of Clustering (Segmentation) Results November 9, 2018 Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques 3D Cube Browser November 9, 2018 Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques Current Status Evolving to DBMiner 3.0 Smooth integration of relational database and data warehouse systems Support Microsoft OLEDB for Data Mining Integrates naturally with Microsoft SQLServer 2000 Analysis Service, as one of Microsoft SQLServer 2000 Analysis Service providers Adding fast association mining, sequential pattern mining and gradient mining methods Adding predictive associative classification method Towards RetailMiner, WebMiner, GeoMiner, and Bio-Miner November 9, 2018 Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques Contact For licensing, purchasing and other issues Please consult and contact www.dbminer.com Welcome application-oriented in-depth development contract Welcome R&D collaborations, joint research and development, technology licensing, and product/company acquisition November 9, 2018 Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques www.cs.uiuc.edu/~hanj Thank you !!! November 9, 2018 Data Mining: Concepts and Techniques