| 000 | 03275nam a22004575c 4500 | ||
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| 988 | _aSpringer_Robotics_2019 | ||
| 999 |
_c115394 _d115394 _x1 |
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| 001 | 115394 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230110040233.0 | ||
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| 007 | cr nn nnnaamaa | ||
| 008 | 190620s2019 gw a o |||| 0|eng d | ||
| 020 | _a9783030181291 | ||
| 024 | 7 |
_a10.1007/978-3-030-18129-1 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQA76.9 .D343 _b2019 EB |
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| 245 | 0 | 0 |
_aAdvances in knowledge discovery and management _nVolume 8 _cedited by Bruno Pinaud, Fabrice Guillet, Fabien Gandon, Christine Largeron |
| 250 | _aFirst edition | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2019 |
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| 300 |
_a1 recurso en línea (XVIII, 183 páginas) _b75 ilustraciones, 33 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_atext file _bPDF |
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| 490 | 0 |
_aStudies in Computational Intelligence _x1860-949X _v834 |
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| 490 | 0 | _aIntelligent Technologies and Robotics (Springer-42732) | |
| 505 | 0 | _aPart I: Clustering -- Chapter 1. Model based co-clustering of mixed numerical and binary data -- Chapter 2. Co-clustering based exploratory analysis of mixed-type data tables -- Part II: Textual Data -- Chapter 3. Automatically selecting complementary vector representations for semantic textual similarity, etc. | |
| 520 | 3 | _aThis book highlights novel research in Knowledge Discovery and Management (KDM), gathering the extended, peer-reviewed versions of outstanding papers presented at the annual conferences EGC'2017 & EGC'2018. The EGC conference cycle was founded by the International French-speaking EGC society ("Extraction et Gestion des Connaissances") in 2003, and has since become a respected fixture among the French-speaking community. In addition to the annual conference, the society organizes various other events in order to promote exchanges between researchers and companies concerned with KDM and its applications to business, administration, industry and public organizations. Addressing novel research in data science, semantic Web, clustering, and classification, the content presented here will chiefly benefit researchers interested in these fields, including Ph.D./M.Sc. students, at public and private laboratories alike. | |
| 650 | 7 |
_2embne _aData mining _9162648 |
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| 650 | 7 |
_2embne _9157801 _aGestión del conocimiento |
|
| 700 | 1 |
_aPinaud, Bruno _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _997574 |
|
| 700 | 1 |
_aGuillet, Fabrice _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _997573 |
|
| 700 | 1 |
_aGandon, Fabien _eeditor _0(orcid)0000-0003-0543-1232 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aLargeron, Christine _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783030181284 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030181307 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030181314 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-18129-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_aSI _cm _dz _feng _ggw _h0 _b12/2019 _eel _zSI |
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