TY  - BOOK
AU  - Gunopulos,Dimitrios
AU  - Hofmann,Thomas
AU  - Malerba,Donato
AU  - Vazirgiannis,Michalis
ED  - SpringerLink (Online service)
TI  - Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011. Proceedings, Part I 
T2  - Lecture Notes in Computer Science,
SN  - 9783642237805
AV  - Q334-342 
U1  - 006.3 23
PY  - 2011///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Computer science
KW  - Computer software
KW  - Database management
KW  - Information storage and retrieval systems
KW  - Artificial intelligence
KW  - Computer Science
KW  - Artificial Intelligence (incl. Robotics)
KW  - Database Management
KW  - Information Storage and Retrieval
KW  - Mathematical Logic and Formal Languages
KW  - Algorithm Analysis and Problem Complexity
KW  - Probability and Statistics in Computer Science
N2  - This three-volume set LNAI 6911, LNAI 6912, and LNAI 6913 constitutes the refereed proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2011, held in Athens, Greece, in September 2011. The 121 revised full papers presented together with 10 invited talks and 11 demos in the three volumes, were carefully reviewed and selected from about 600 paper submissions. The papers address all areas related to machine learning and knowledge discovery in databases as well as other innovative application domains such as supervised and unsupervised learning with some innovative contributions in fundamental issues; dimensionality reduction, distance and similarity learning, model learning and matrix/tensor analysis; graph mining, graphical models, hidden markov models, kernel methods, active and ensemble learning, semi-supervised and transductive learning, mining sparse representations, model learning, inductive logic programming, and statistical learning. a significant part of the papers covers novel and timely applications of data mining and machine learning in industrial domains
UR  - http://dx.doi.org/10.1007/978-3-642-23780-5
ER  -