Data Mining: Concepts and Techniques Slides for Textbook

Data Mining: Concepts and Techniques  Slides for Textbook

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 January 30, 2020 Data Mining: Concepts and Techniq 1 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 January 30, 2020 Data Mining: Concepts and Techniq 2 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 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 January 30, 2020 Data Mining: Concepts and Techniq 4 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) January 30, 2020 Data Mining: Concepts and Techniq 5

DBMiner Data and Mining Views (Working Panel) January 30, 2020 Data Mining: Concepts and Techniq 6 OLAP (Summarization) Display Using MS/Excel 2000 January 30, 2020 Data Mining: Concepts and Techniq 7 Market-Basket-Analysis (Association)Ball graph

January 30, 2020 Data Mining: Concepts and Techniq 8 Display of Association Rules in Rule Plane Form January 30, 2020 Data Mining: Concepts and Techniq 9 Display of Decision Tree (Classification Results) January 30, 2020 Data Mining: Concepts and Techniq

10 Display of Clustering (Segmentation) Results January 30, 2020 Data Mining: Concepts and Techniq 11 3D Cube Browser January 30, 2020 Data Mining: Concepts and Techniq 12

Current Status Evolving from DBMiner2.0 to DBMiner2.5 Smooth integration of relational database and data warehouse systems Support Microsoft OLEDB for Data Mining Adding fast association mining and sequential pattern mining methods Adding visual classification methods

Towards RetailMiner, WeblogMiner, WebMiner, GeoMiner, MultiMediaMiner, and DNAMiner January 30, 2020 Data Mining: Concepts and Techniq 13 Contact 90 day trial use of DBMiner: DBMiner 2.0 is downloadable at

www.dbminer.com For license 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 January 30, 2020

Data Mining: Concepts and Techniq 14 http://www.cs.sfu.ca/~han/ dmbook Thank you !!! January 30, 2020 Data Mining: Concepts and Techniq 15

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