Study of DB Miner Tool

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Study of DB Miner Tool.
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Introduction
DBMiner, a data mining system for interactive mining of multiple-level knowledge in large relational databases, has been developed based on our years-of-research. The system implements a wide spectrum of data mining functions, including generalization, characterization, discrimination, association, classification, and prediction. By incorporation of several interesting data mining techniques, including attribute-oriented induction, progressive deepening for mining multiple-level rules, and meta-rule guided knowledge mining, the system provides a user-friendly, interactive data mining environment with good performance.


A data mining system, DBMiner, has been developed for interactive mining of multiple-level knowledge in large relational databases. It is based on studies of data mining techniques and experience in the development of an early system prototype, DBLearn. The system implements a wide spectrum of data mining functions, including generalization,characterization, association, classification, and prediction. By incorporation of several interesting data mining techniques, including attribute-oriented induction, statistical analysis, progressive deepening for mining multiple level knowledge, and meta-rule guided mining, the system provides a user-friendly, interactive data mining environment with good performance.

General architecture of DBMiner



Discovery Modules


DBMiner user interfaces
UNIX-based
Windows/NT-based
WWW/Netscape-based

DBMiner Wizard




OLAP Browser




3-D Cube



Association



Association Settings



Classification


Classification Settings



Clustering Settings

 


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