Ubiquitous Mining with Interactive Data Mining Agents

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dc.contributor.author Wu, X
dc.contributor.author Zhu, X
dc.contributor.author Chen, Q
dc.contributor.author Wang, F
dc.date.accessioned 2010-05-28T09:46:22Z
dc.date.issued 2009-01
dc.identifier.citation Journal Of Computer Science And Technology, 2009, 24 (6), pp. 1018 - 1027
dc.identifier.issn 1000-9000
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/8920
dc.description.abstract Due to the increasing availability and sophistication of data recording techniques, multiple information sources and distributed computing are becoming the important trends of modern information systems. Many applications such as security informatics and social computing require a ubiquitous data analysis platform so that decisions can be made rapidly under distributed and dynamic system environments. Although data mining has now been popularly used to achieve such goals, building a data mining system is, however, a nontrivial task, which may require a complete understanding on numerous data mining techniques as well as solid programming skills. Employing agent techniques for data analysis thus becomes increasingly important, especially for users not familiar with engineering and computational sciences, to implement an effective ubiquitous mining platform. Such data mining agents should, in practice, be intelligent, complete, and compact. In this paper, we present an interactive data mining agent â OIDM (online interactive data mining), which provides three categories (classification, association analysis, and clustering) of data mining tools, and interacts with the user to facilitate the mining process. The interactive mining is accomplished through interviewing the user about the data mining task to gain efficient and intelligent data mining control. OIDM can help users find appropriate mining algorithms, refine and compare the mining process, and finally achieve the best mining results. Such interactive data mining agent techniques provide alternative solutions to rapidly deploy data mining techniques to broader areas of data intelligence and knowledge informatics.
dc.publisher Science China Press
dc.relation.isbasedon 10.1007/s11390-009-9291-7
dc.title Ubiquitous Mining with Interactive Data Mining Agents
dc.type Journal Article
dc.parent Journal Of Computer Science And Technology
dc.journal.volume 6
dc.journal.volume 24
dc.journal.number 6 en_US
dc.publocation Beijing en_US
dc.identifier.startpage 1018 en_US
dc.identifier.endpage 1027 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.for 0899 Other Information and Computing Sciences
dc.personcode 100507
dc.personcode 107283
dc.percentage 100 en_US
dc.classification.name Other Information and Computing Sciences en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords information systems - human-centered computing - data mining - intelligent agents en_US
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)

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