DocumentCode :
3416011
Title :
Research on knowledge retrieval by leveraging data mining techniques
Author :
Hao, Yan ; Zhang, Yu-feng
Author_Institution :
Comput. Sch., Wuhan Univ., Wuhan, China
Volume :
1
fYear :
2010
fDate :
9-10 Oct. 2010
Firstpage :
479
Lastpage :
484
Abstract :
This paper proposes a knowledge retrieval model combining knowledge search with data mining technologies. In this model, data mining is integrated into the whole retrieval procedure of query optimizing, searching, results analyzing, and resources constructing. It realizes knowledge retrieval by various approaches, different levels, and multi-modes, and significantly improves knowledge retrieval level and efficiency. Furthermore, we explore related knowledge retrieval methods and algorithms including association analysis-based concept retrieval and inductive learning-based classification retrieval, and validate them experimentally.
Keywords :
data mining; information retrieval; association analysis-based concept retrieval; data mining; knowledge retrieval; knowledge search; learning-based classification retrieval; query optimization; Algorithm design and analysis; Biomedical imaging; Ferroelectric films; Nonvolatile memory; Ontologies; Random access memory; Semantics; Data mining; Knowledge retrieval; Retrieval algorithm; Retrieval model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Information Technology and Management Engineering (FITME), 2010 International Conference on
Conference_Location :
Changzhou
Print_ISBN :
978-1-4244-9087-5
Type :
conf
DOI :
10.1109/FITME.2010.5656554
Filename :
5656554
Link To Document :
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