首页|Incorporating Domain Knowledge into Data Mining Process: An Ontology Based Framework
Incorporating Domain Knowledge into Data Mining Process: An Ontology Based Framework
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NETL
NSTL
万方数据
维普
With the explosive growth of data available, there is an urgent need to develop continuous data mining which reduces manual interaction evidently. A novel model for data mining is proposed in evolving environment. First, some valid mining task schedules are generated, and then autonomous and local mining are executed periodically, finally, previous results are merged and refined. The framework based on the model creates a communication mechanism to incorporate domain knowledge into continuous process through ontology service. The local and merge mining are transparent to the end user and heterogeneous data source by ontology. Experiments suggest that the framework should be useful in guiding the continuous mining process.
continuous data miningdomain knowledgeontologyframework
PAN Ding、SHEN Jun-yi、ZHOU Mu-xin
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Department of Computer Science and Technology, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China
Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai 200240, China
National Natural Science Foundation of ChinaNational Natural Science Foundation of China
NETL
NSTL
万方数据
维普
