多智能體技術在基于雙庫協同機制的知識發現KDD<sup>*</sup>模型設計中的應用

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多智能體技術在基于雙庫協同機制的知識發現KDD^*模型設計中的應用

基金項目:

國家自然科學基金資助項目(No.69835001)

Information Engineering School. University of Science and Technology Beijing, Beijing 100083, China;
2. Computer Center, Hebei University of Trade and Economoy, Shijiazhuang 050061, China

摘要: KDD^*模型是基于雙庫協同機制的知識發現新模型,是結構化數據挖掘領域研究的一個新的分支.為了進一步提高KDD^*的智能性,設計了一個基于Multi-agent技術的智能數據挖掘系統.利用多智能體技術,實現了數據預處理、數據挖掘、知識的自動獲取、基礎數據庫與知識庫的同步進化與協調、知識的評價與表示等功能.
- 知識發現 /
- 多智能體 /
- 數據挖掘
Abstract: The KDD^* model, a bench in the field of structured data mining, is proposed based on the double-bases (database and knowledge base) cooperation mechanism. In order to improve the intelligence of KDD^*, an intelligent data mining system based on the multi-agent technologies is designed to realize data preprocessing, data mining, automatic extracting of knowledge, synchronous evolving and cooperating of basic database and knowledge base, knowledge evaluating and explaining.
- knowledge discovery /
- multi-agent /
- data mining