TY - BOOK ID - 15925313 TI - Knowledge Discovery in Databases: PKDD 2004 : 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004, Proceedings AU - Boulicaut, Jean-Francois. AU - Esposito, Floriana. AU - Giannotti, Fosca. AU - Pedreschi, Dino. AU - European Conference on Principles and Practice of Knowledge Discovery in Databases PY - 2004 SN - 3540231080 354030116X PB - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, DB - UniCat KW - 681.3*I26 <063> KW - 681.3*H2 <063> KW - 681.3*J2 <063> KW - 681.3*H3 <063> KW - 681.3*G3 <063> KW - 681.3*I7 <063> KW - 681.3*F42 <063> KW - 681.3*F41 <063> KW - 681.3*J2 <063> Physical sciences and engineering (Computer applications)--Congressen KW - Physical sciences and engineering (Computer applications)--Congressen KW - 681.3*I26 <063> Learning: analogies concept learning induction knowledge acquisition language acquisition parameter learning (Artificial intelligence)--See also {681.3*K32}--Congressen KW - Learning: analogies concept learning induction knowledge acquisition language acquisition parameter learning (Artificial intelligence)--See also {681.3*K32}--Congressen KW - Database management: security integrity protection--See also {?681.5*E5}--Congressen KW - Information storage and retrieval--Congressen KW - Probability and statistics: probabilistic algorithms (including Monte Carlo)random number generation statistical computing statistical software (Mathematics of computing)--Congressen KW - Text processing (Computing methodologies)--See also {681.3*H4}--Congressen KW - Grammars and other rewriting systems: decision problems grammar types parallel rewriting systems parsing thue systems (Mathematical logic and formal languages)--See also {681.3*D31}--Congressen KW - Mathematical logic: computability theory computational logic lambda calculus logic programming mechanical theorem proving model theory proof theoryrecursive function theory--See also {681.3*F11} {681.3*I22} {681.3*I23}--Congressen KW - Data mining KW - Database searching KW - Text processing (Computer science. KW - Document Preparation and Text Processing. KW - Computer science. KW - Data structures (Computer science). KW - Mathematical statistics. KW - Database management. KW - Information storage and retrieval. KW - Artificial intelligence. KW - Text processing (Computer science). KW - Computer Science. KW - Artificial Intelligence (incl. Robotics). KW - Data Structures, Cryptology and Information Theory. KW - Database Management. KW - Information Storage and Retrieval. KW - Probability and Statistics in Computer Science. KW - Processing, Text (Computer science) KW - Database management KW - Electronic data processing KW - Information storage and retrieval systems KW - Word processing 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 - 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 - Information structures (Computer science) KW - Structures, Data (Computer science) KW - Structures, Information (Computer science) KW - File organization (Computer science) KW - Abstract data types (Computer science) KW - Informatics KW - Science KW - Statistical methods KW - 681.3*I26 <063> Learning: analogies; concept learning; induction; knowledge acquisition; language acquisition; parameter learning (Artificial intelligence)--See also {681.3*K32}--Congressen KW - Learning: analogies; concept learning; induction; knowledge acquisition; language acquisition; parameter learning (Artificial intelligence)--See also {681.3*K32}--Congressen KW - Mathematical logic: computability theory; computational logic; lambda calculus; logic programming; mechanical theorem proving; model theory; proof theory;recursive function theory--See also {681.3*F11}; {681.3*I22}; {681.3*I23}--Congressen KW - Grammars and other rewriting systems: decision problems; grammar types; parallel rewriting systems; parsing; thue systems (Mathematical logic and formal languages)--See also {681.3*D31}--Congressen KW - Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing)--Congressen KW - Database management: security; integrity; protection--See also {?681.5*E5}--Congressen KW - Data structures (Computer scienc. KW - Information storage and retrieva. KW - Natural language processing (Computer science). KW - Artificial Intelligence. KW - Data Structures and Information Theory. KW - Natural Language Processing (NLP). KW - Information storage and retrieval systems. KW - NLP (Computer science) KW - Artificial intelligence KW - Human-computer interaction KW - Semantic computing UR - https://www.unicat.be/uniCat?func=search&query=sysid:15925313 AB - The proceedings of ECML/PKDD 2004 are published in two separate, albeit - tertwined,volumes:theProceedingsofthe 15thEuropeanConferenceonMac- ne Learning (LNAI 3201) and the Proceedings of the 8th European Conferences on Principles and Practice of Knowledge Discovery in Databases (LNAI 3202). The two conferences were co-located in Pisa, Tuscany, Italy during September 20–24, 2004. It was the fourth time in a row that ECML and PKDD were co-located. - ter the successful co-locations in Freiburg (2001), Helsinki (2002), and Cavtat- Dubrovnik (2003), it became clear that researchersstrongly supported the or- nization of a major scienti?c event about machine learning and data mining in Europe. We are happy to provide some statistics about the conferences. 581 di?erent papers were submitted to ECML/PKDD (about a 75% increase over 2003); 280 weresubmittedtoECML2004only,194weresubmittedtoPKDD2004only,and 107weresubmitted to both.Aroundhalfofthe authorsforsubmitted papersare from outside Europe, which is a clear indicator of the increasing attractiveness of ECML/PKDD. The Program Committee members were deeply involved in what turned out to be a highly competitive selection process. We assigned each paper to 3 - viewers, deciding on the appropriate PC for papers submitted to both ECML and PKDD. As a result, ECML PC members reviewed 312 papers and PKDD PC members reviewed 269 papers. We accepted for publication regular papers (45 for ECML 2004 and 39 for PKDD 2004) and short papers that were as- ciated with poster presentations (6 for ECML 2004 and 9 for PKDD 2004). The globalacceptance ratewas14.5%for regular papers(17% if we include the short papers). ER -