| 000 | 03840nam a22005055i 4500 | ||
|---|---|---|---|
| 999 |
_c200434578 _d52790 |
||
| 003 | DE-He213 | ||
| 005 | 20231104114438.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 150604s2015 gw | s |||| 0|eng d | ||
| 020 |
_a9783319202303 _z978-3-319-20230-3 |
||
| 024 | 7 |
_a10.1007/978-3-319-20230-3 _2doi |
|
| 040 |
_aTR-AnTOB _beng _cTR-AnTOB _erda |
||
| 050 | 4 | _aQ334-342 | |
| 072 | 7 |
_aUYQ _2bicssc |
|
| 072 | 7 |
_aCOM004000 _2bisacsh |
|
| 072 | 7 |
_aUYQ _2thema006.3 _223 |
|
| 245 | 1 | 0 |
_aAgents and Data Mining Interaction : _b10th International Workshop, ADMI 2014, Paris, France, May 5-9, 2014, Revised Selected Papers / _cedited by Longbing Cao, Yifeng Zeng, Bo An, Andreas L. Symeonidis, Vladimir Gorodetsky, Frans Coenen, Philip S. Yu. |
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015. |
|
| 300 | _a1 online resource | ||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 347 |
_atext file _bPDF _2rda |
||
| 490 | 0 |
_aLecture Notes in Artificial Intelligence ; _v9145 |
|
| 505 | 0 | _aLearning Agents’ Relations in Interactive Multiagent Dynamic Influence Diagrams -- Agent-Based Customer Profile Learning in 3G Recommender Systems: Ontology-Driven Multi-source Cross-Domain Case -- Modeling Temporal Propagation Dynamics in Multiplex Networks -- Mining Movement Patterns from Video Data to Inform Multi-agent Based Simulation -- Accessory-Based Multi-agent Simulating Platform on the Web -- Performance Evaluation of Agents and Multi-agent Systems Using Formal Specifications in Z Notation -- Reputation in Communities of Agent-Based Web Services Through Data Mining -- Data Mining Process Optimization in Computational Multi-agent Systems -- Diversifying the Storytelling Using Bayesian Networks -- A Coupled Similarity Kernel for Pairwise Support Vector Machine. | |
| 520 | _aThis book constitutes the thoroughly refereed and revised selected papers from the 10th International Workshop on Agents and Data Mining Interactions, ADMI 2014, held in Paris, France, in May 2014 as satellite workshop of AAMAS 2014, the 13th International Conference on Autonomous Agents and Multiagent Systems. The 11 papers presented were carefully reviewed and selected from numerous submissions for inclusion in this volume. They present current research and engineering results, as well as potential challenges and prospects encountered in the respective communities and the coupling between agents and data mining. | ||
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 0 | _aData mining. | |
| 650 | 1 | 4 |
_aArtificial Intelligence. _0http://scigraph.springernature.com/things/product-market-codes/I21000 |
| 650 | 2 | 4 |
_aData Mining and Knowledge Discovery. _0http://scigraph.springernature.com/things/product-market-codes/I18030 |
| 650 | 2 | 4 |
_aInformation Systems Applications (incl. Internet). _0http://scigraph.springernature.com/things/product-market-codes/I18040 |
| 700 | 1 |
_aCao, Longbing. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aZeng, Yifeng. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aAn, Bo. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aSymeonidis, Andreas L. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aGorodetsky, Vladimir. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aCoenen, Frans. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aYu, Philip S. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 856 | 4 | 0 |
_3Springer eBooks _zOnline access link to the resource _uhttps://doi.org/10.1007/978-3-319-20230-3 |
| 942 |
_2lcc _cEBK |
||
| 041 | _aeng | ||