TY - BOOK ID - 8285196 TI - Machine Learning and Knowledge Discovery in Databases, Part III : European Conference, ECML PKDD 2010, Athens, Greece, September 5-9, 2011, Proceedings, Part III AU - Gunopulos, Dimitrios. AU - Hofmann, Thomas. AU - Malerba, Donato. AU - Vazirgiannis, Michalis. AU - ECML/PKDD PY - 2011 SN - 3642238076 3642238084 PB - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, DB - UniCat KW - Engineering & Applied Sciences KW - Mechanical Engineering KW - Computer Science KW - Mechanical Engineering - General KW - Information Technology KW - Artificial Intelligence KW - Data mining KW - Machine learning KW - Computer science. KW - Algorithms. KW - Mathematical logic. KW - Mathematical statistics. KW - Database management. KW - Information storage and retrieval. 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. KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Data base management KW - Data services (Database management) KW - Database management services KW - DBMS (Computer science) KW - Generalized data management systems KW - Services, Database management KW - Systems, Database management KW - Systems, Generalized database management KW - Mathematics KW - Statistical inference KW - Statistics, Mathematical KW - Statistics KW - Probabilities KW - Sampling (Statistics) KW - Algebra of logic KW - Logic, Universal KW - Mathematical logic KW - Symbolic and mathematical logic KW - Symbolic logic KW - Algebra, Abstract KW - Metamathematics KW - Set theory KW - Syllogism KW - Algorism KW - Algebra KW - Arithmetic KW - Informatics KW - Science KW - Statistical methods KW - Foundations KW - Information storage and retrieva. KW - Computer software. KW - Artificial Intelligence. KW - Software, Computer KW - Computer systems KW - Information storage and retrieval systems. KW - Automatic data storage KW - Automatic information retrieval KW - Automation in documentation KW - Computer-based information systems KW - Data processing systems KW - Data storage and retrieval systems KW - Discovery systems, Information KW - Information discovery systems KW - Information processing systems KW - Information retrieval systems KW - Machine data storage and retrieval KW - Mechanized information storage and retrieval systems KW - Electronic information resources KW - Data libraries KW - Digital libraries KW - Information organization KW - Information retrieval UR - https://www.unicat.be/uniCat?func=search&query=sysid:8285196 AB - 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. ER -