000 | 03851nam a22006135i 4500 | ||
---|---|---|---|
001 | 978-3-540-31933-7 | ||
003 | DE-He213 | ||
005 | 20240730202646.0 | ||
007 | cr nn 008mamaa | ||
008 | 100709s2005 gw | s |||| 0|eng d | ||
020 |
_a9783540319337 _9978-3-540-31933-7 |
||
024 | 7 |
_a10.1007/b136140 _2doi |
|
050 | 4 | _aQA76.9.D3 | |
072 | 7 |
_aUN _2bicssc |
|
072 | 7 |
_aCOM021000 _2bisacsh |
|
072 | 7 |
_aUN _2thema |
|
082 | 0 | 4 |
_a005.74 _223 |
245 | 1 | 0 |
_aActive Mining _h[electronic resource] : _bSecond International Workshop, AM 2003, Maebashi, Japan, October 28, 2003, Revised Selected Papers / _cedited by Shusaku Tsumoto, Takahira Yamaguchi, Masayuki Numao, Hiroshi Motoda. |
250 | _a1st ed. 2005. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2005. |
|
300 |
_aXII, 348 p. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v3430 |
|
505 | 0 | _aOverview -- Active Mining Project: Overview -- Tutorial Papers -- Computational and Statistical Methods in Bioinformatics -- Indexing and Mining Audiovisual Data -- Active Information Collection -- Relevance Feedback Document Retrieval Using Support Vector Machines -- Micro View and Macro View Approaches to Discovered Rule Filtering -- Mining Chemical Compound Structure Data Using Inductive Logic Programming -- First-Order Rule Mining by Using Graphs Created from Temporal Medical Data -- Active Data Mining -- Extracting Diagnostic Knowledge from Hepatitis Dataset by Decision Tree Graph-Based Induction -- Data Mining Oriented CRM Systems Based on MUSASHI: C-MUSASHI -- Investigation of Rule Interestingness in Medical Data Mining -- Experimental Evaluation of Time-Series Decision Tree -- Spiral Multi-aspect Hepatitis Data Mining -- Sentence Role Identification in Medline Abstracts: Training Classifier with Structured Abstracts -- CHASE 2 - Rule Based Chase Algorithm for Information Systems of Type ? -- Active User Reaction -- Empirical Comparison of Clustering Methods for Long Time-Series Databases -- Spiral Mining Using Attributes from 3D Molecular Structures -- Classification of Pharmacological Activity of Drugs Using Support Vector Machine -- Cooperative Scenario Mining from Blood Test Data of Hepatitis B and C -- Integrated Mining for Cancer Incidence Factors from Healthcare Data. | |
650 | 0 |
_aDatabase management. _93157 |
|
650 | 0 |
_aArtificial intelligence. _93407 |
|
650 | 0 |
_aAlgorithms. _93390 |
|
650 | 0 |
_aMedical informatics. _94729 |
|
650 | 0 |
_aBioinformatics. _99561 |
|
650 | 1 | 4 |
_aDatabase Management. _93157 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aAlgorithms. _93390 |
650 | 2 | 4 |
_aHealth Informatics. _931799 |
650 | 2 | 4 |
_aBioinformatics. _99561 |
700 | 1 |
_aTsumoto, Shusaku. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9172496 |
|
700 | 1 |
_aYamaguchi, Takahira. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9172497 |
|
700 | 1 |
_aNumao, Masayuki. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9172498 |
|
700 | 1 |
_aMotoda, Hiroshi. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9172499 |
|
710 | 2 |
_aSpringerLink (Online service) _9172500 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783540261575 |
776 | 0 | 8 |
_iPrinted edition: _z9783540811527 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v3430 _9172501 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/b136140 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-LNC | ||
942 | _cELN | ||
999 |
_c97124 _d97124 |