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