Presentation is loading. Please wait.

Presentation is loading. Please wait.

©Jiawei Han and Micheline Kamber

Similar presentations


Presentation on theme: "©Jiawei Han and Micheline Kamber"— Presentation transcript:

1 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 September 17, 2018 Data Mining: Concepts and Techniques

2 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 September 17, 2018 Data Mining: Concepts and Techniques

3 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

4 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 September 17, 2018 Data Mining: Concepts and Techniques

5 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) September 17, 2018 Data Mining: Concepts and Techniques

6 Data Mining: Concepts and Techniques
DBMiner Data and Mining Views (Working Panel) DBMiner Manager September 17, 2018 Data Mining: Concepts and Techniques

7 Data Mining: Concepts and Techniques
OLAP (Summarization) Display Using MS/Excel 2000 September 17, 2018 Data Mining: Concepts and Techniques

8 Data Mining: Concepts and Techniques
Market-Basket-Analysis (Association)—Ball graph September 17, 2018 Data Mining: Concepts and Techniques

9 Data Mining: Concepts and Techniques
Display of Association Rules in Rule Plane Form September 17, 2018 Data Mining: Concepts and Techniques

10 Data Mining: Concepts and Techniques
Display of Decision Tree (Classification Results) September 17, 2018 Data Mining: Concepts and Techniques

11 Data Mining: Concepts and Techniques
Display of Clustering (Segmentation) Results September 17, 2018 Data Mining: Concepts and Techniques

12 Data Mining: Concepts and Techniques
3D Cube Browser September 17, 2018 Data Mining: Concepts and Techniques

13 Data Mining: Concepts and Techniques
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 September 17, 2018 Data Mining: Concepts and Techniques

14 Data Mining: Concepts and Techniques
Contact 90 day trial use of DBMiner: DBMiner 2.0 is downloadable at For license purchasing and other issues Please consult and contact Welcome application-oriented in-depth development contract Welcome R&D collaborations, joint research and development, technology licensing, and product/company acquisition September 17, 2018 Data Mining: Concepts and Techniques

15 Data Mining: Concepts and Techniques
Thank you !!! September 17, 2018 Data Mining: Concepts and Techniques


Download ppt "©Jiawei Han and Micheline Kamber"

Similar presentations


Ads by Google