000 | 03520nam a22005535i 4500 | ||
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001 | 978-3-642-36778-6 | ||
003 | DE-He213 | ||
005 | 20200420220218.0 | ||
007 | cr nn 008mamaa | ||
008 | 130217s2013 gw | s |||| 0|eng d | ||
020 |
_a9783642367786 _9978-3-642-36778-6 |
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024 | 7 |
_a10.1007/978-3-642-36778-6 _2doi |
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050 | 4 | _aQA76.9.D343 | |
072 | 7 |
_aUNF _2bicssc |
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_aUYQE _2bicssc |
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_a006.312 _223 |
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_aEmerging Trends in Knowledge Discovery and Data Mining _h[electronic resource] : _bPAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust, and DSDM, Kuala Lumpur, Malaysia, May 29 - June 1, 2012, Revised Selected Papers / _cedited by Takashi Washio, Jun Luo. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013. |
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300 |
_aXII, 157 p. 49 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v7769 |
|
520 | _aThis book constitutes the thoroughly refereed proceedings of the PAKDD 2012 International Workshops: Third Workshop on Data Mining for Healthcare Management (DMHM 2012), First Workshop on Geospatial Information and Documents (GeoDoc 2012), First Workshop on Multi-view data, High-dimensionality, External Knowledge: Striving for a Unified Approach to Clustering (3Clust 2012), and the Second Doctoral Symposium on Data Mining (DSDM 2012); held in conjunction with the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2012), in Kuala Lumpur, Malaysia, May/June 2012. The 12 revised papers presented were carefully reviewed and selected from numerous submissions. DMHM 2012 aimed at providing a common platform for the discussion of challenging issues and potential techniques in this emerging field of data mining for health care management; 3Clust 2012 focused on solving emerging problems such as clustering ensembles, semi-supervised clustering, subspace/projective clustering, co-clustering, and multi-view clustering; GeoDoc 2012 highlighted the formalization of geospatial concepts and relationships with a focus on the extraction of geospatial relations in free text datasets to offer to the database community a unified framework for geodata discovery; and DSDM 2012 provided the opportunity for Ph.D. students and junior researchers to discuss their work on data mining foundations, techniques and applications. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aHealth informatics. | |
650 | 0 | _aData mining. | |
650 | 0 | _aInformation storage and retrieval. | |
650 | 0 | _aArtificial intelligence. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aHealth Informatics. |
650 | 2 | 4 | _aInformation Storage and Retrieval. |
650 | 2 | 4 | _aInformation Systems Applications (incl. Internet). |
700 | 1 |
_aWashio, Takashi. _eeditor. |
|
700 | 1 |
_aLuo, Jun. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642367779 |
830 | 0 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v7769 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-36778-6 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-LNC | ||
942 | _cEBK | ||
999 |
_c51716 _d51716 |