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020 _a9783540332077
_9978-3-540-33207-7
024 7 _a10.1007/11731139
_2doi
050 4 _aQA76.9.D35
050 4 _aQ350-390
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082 0 4 _a005.73
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245 1 0 _aAdvances in Knowledge Discovery and Data Mining
_h[electronic resource] :
_b10th Pacific-Asia Conference, PAKDD 2006, Singapore, April 9-12, 2006, Proceedings /
_cedited by Wee Keong Ng, Masaru Kitsuregawa, Jianzhong Li.
250 _a1st ed. 2006.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2006.
300 _aXXIV, 879 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v3918
505 0 _aKeynote Speech -- Invited Speech -- Classification -- Ensemble Learning -- Ensemble Learning -- Support Vector Machines -- Text and Document Mining -- Web Mining -- Graph and Network Mining -- Association Rule Mining -- Bio-data Mining -- Outlier and Intrusion Detection -- Privacy -- Relational Database -- Multimedia Mining -- Stream Data Mining -- Temporal Data Mining -- Temporal Data Mining -- Innovative Applications.
520 _aThe Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is a leading international conference in the area of data mining and knowledge discovery. This year marks the tenth anniversary of the successful annual series of PAKDD conferences held in the Asia Pacific region. It was with pleasure that we hosted PAKDD 2006 in Singapore again, since the inaugural PAKDD conference was held in Singapore in 1997. PAKDD 2006 continues its tradition of providing an international forum for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from all aspects of KDD data mining, including data cleaning, data warehousing, data mining techniques, knowledge visualization, and data mining applications. This year, we received 501 paper submissions from 38 countries and regions in Asia, Australasia, North America and Europe, of which we accepted 67 (13.4%) papers as regular papers and 33 (6.6%) papers as short papers. The distribution of the accepted papers was as follows: USA (17%), China (16%), Taiwan (10%), Australia (10%), Japan (7%), Korea (7%), Germany (6%), Canada (5%), Hong Kong (3%), Singapore (3%), New Zealand (3%), France (3%), UK (2%), and the rest from various countries in the Asia Pacific region.
650 0 _aData structures (Computer science).
_98188
650 0 _aInformation theory.
_914256
650 0 _aArtificial intelligence.
_93407
650 0 _aDatabase management.
_93157
650 0 _aInformation storage and retrieval systems.
_922213
650 0 _aComputer science
_xMathematics.
_93866
650 0 _aMathematical statistics.
_99597
650 0 _aMultimedia systems.
_911575
650 1 4 _aData Structures and Information Theory.
_931923
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aDatabase Management.
_93157
650 2 4 _aInformation Storage and Retrieval.
_923927
650 2 4 _aProbability and Statistics in Computer Science.
_931857
650 2 4 _aMultimedia Information Systems.
_931575
700 1 _aNg, Wee Keong.
_eeditor.
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_9143436
700 1 _aKitsuregawa, Masaru.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9143437
700 1 _aLi, Jianzhong.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9143438
710 2 _aSpringerLink (Online service)
_9143439
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540332060
776 0 8 _iPrinted edition:
_z9783540822196
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v3918
_9143440
856 4 0 _uhttps://doi.org/10.1007/11731139
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