Emerging Trends in Knowledge Discovery and Data Mining : PAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust, and DSDM, Kuala Lumpur, Malaysia, May 29 June 1, 2012, Revised Selected Papers
This 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, Exte...
Auteurs principaux : | , |
---|---|
Format : | Livre |
Langue : | anglais |
Titre complet : | Emerging Trends in Knowledge Discovery and Data Mining : PAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust, and DSDM, Kuala Lumpur, Malaysia, May 29 June 1, 2012, Revised Selected Papers / edited by Takashi Washio, Jun Luo. |
Publié : |
Berlin, Heidelberg :
Springer Berlin Heidelberg
, 2013 Cham : Springer Nature |
Collection : | Lecture Notes in Artificial Intelligence ; 7769 |
Accès en ligne : |
Accès Nantes Université
Accès direct soit depuis les campus via le réseau ou le wifi eduroam soit à distance avec un compte @etu.univ-nantes.fr ou @univ-nantes.fr |
Note sur l'URL : | Accès sur la plateforme de l'éditeur (Springer) Accès sur la plateforme Istex |
Condition d'utilisation et de reproduction : | Conditions particulières de réutilisation pour les bénéficiaires des licences nationales : chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |
Sujets : | |
Documents associés : | Autre format:
Emerging Trends in Knowledge Discovery and Data Mining Autre format: Emerging Trends in Knowledge Discovery and Data Mining |
LEADER | 04496clm a2200649 4500 | ||
---|---|---|---|
001 | PPN168330431 | ||
003 | http://www.sudoc.fr/168330431 | ||
005 | 20241001155300.0 | ||
010 | |a 978-3-642-36778-6 | ||
017 | 7 | 0 | |a 10.1007/978-3-642-36778-6 |2 DOI |
035 | |a (OCoLC)829434203 | ||
035 | |a Springer978-3-642-36778-6 | ||
035 | |a SPRINGER_EBOOKS_LN_PLURI_10.1007/978-3-642-36778-6 | ||
035 | |a Springer-11645-978-3-642-36778-6 | ||
100 | |a 20130325d2013 u u0frey0103 ba | ||
101 | 0 | |a eng |2 639-2 | |
102 | |a DE | ||
135 | |a dr||||||||||| | ||
181 | |6 z01 |c txt |2 rdacontent | ||
181 | 1 | |6 z01 |a i# |b xxxe## | |
182 | |6 z01 |c c |2 rdamedia | ||
182 | 1 | |6 z01 |a b | |
183 | |6 z01 |a ceb |2 RDAfrCarrier | ||
200 | 1 | |a Emerging Trends in Knowledge Discovery and Data Mining |e PAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust, and DSDM, Kuala Lumpur, Malaysia, May 29 June 1, 2012, Revised Selected Papers |f edited by Takashi Washio, Jun Luo. | |
214 | 0 | |a Berlin, Heidelberg |c Springer Berlin Heidelberg | |
214 | 2 | |a Cham |c Springer Nature |d 2013 | |
225 | 0 | |a Lecture Notes in Artificial Intelligence |x 2945-9141 |v 7769 | |
330 | |a This 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. | ||
371 | 0 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | |
371 | 0 | |a Accès soumis à abonnement pour tout autre établissement | |
371 | 1 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales |c chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | |
410 | | | |t Lecture Notes in Artificial Intelligence |x 2945-9141 |v 7769 | |
452 | | | |t Emerging Trends in Knowledge Discovery and Data Mining |b Texte imprimé |y 9783642367779 | |
452 | | | |t Emerging Trends in Knowledge Discovery and Data Mining |b Texte imprimé |y 9783642367793 | |
610 | 1 | |a Computer Science | |
610 | 2 | |a Artificial Intelligence (incl. Robotics) | |
610 | 2 | |a Information Systems Applications (incl. Internet) | |
610 | 2 | |a Data Mining and Knowledge Discovery | |
610 | 2 | |a Health Informatics | |
610 | 2 | |a Information Storage and Retrieval | |
610 | 2 | |a Artificial Intelligence. | |
610 | 2 | |a Computer and Information Systems Applications | |
615 | |a Computer Science |n 11645 |2 Springer | ||
676 | |a 006.312 |v 23 | ||
680 | |a QA76.9.D343 | ||
700 | 1 | |a Washio |b Takashi |4 651 | |
701 | 1 | |a Luo |b Jun |4 651 | |
801 | 3 | |a FR |b Abes |c 20240814 |g AFNOR | |
801 | 1 | |a DE |b Springer |c 20240603 |g AACR2 | |
856 | 4 | |z Accès sur la plateforme de l'éditeur (Springer) |q PDF |u https://doi.org/10.1007/978-3-642-36778-6 | |
856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-3SKW3QBQ-Z |z Accès sur la plateforme Istex | |
856 | 4 | |5 441099901:830857648 |u https://budistant.univ-nantes.fr/login?url=https://doi.org/10.1007/978-3-642-36778-6 | |
915 | |5 441099901:830857648 |b SPRING13-00783 | ||
930 | |5 441099901:830857648 |b 441099901 |j g | ||
991 | |5 441099901:830857648 |a Exemplaire créé en masse par ITEM le 30-09-2024 16:14 | ||
997 | |a NUM |b SPRING13-00783 |d NUMpivo |e EM |s d | ||
998 | |a 978606 |