Intelligent Data Engineering and Automated Learning - IDEAL 2007 [electronic resource] : 8th International Conference, Birmingham, UK, December 16-19, 2007. Proceedings / edited by Hujun Yin, Peter Tino, Emilio Corchado, Will Byrne, Xin Yao.Material type: TextLanguage: English Series: Lecture Notes in Computer Science: 4881Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007Description: online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540772262Subject(s): Computer science | Computer software | Database management | Data mining | Information systems | Artificial intelligence | Computer Science | Database Management | Algorithm Analysis and Problem Complexity | Artificial Intelligence (incl. Robotics) | Information Systems Applications (incl.Internet) | Data Mining and Knowledge Discovery | Computers and SocietyAdditional physical formats: Printed edition:: No titleDDC classification: 005.74 LOC classification: QA76.9.D3Online resources: Click here to access online
Learning and Information Processing -- Data Mining and Information Management -- Bioinformatics and Neuroinformatics -- Agents and Distributed Systems -- Financial Engineering and Modelling -- Agent-Based Approach to Service Sciences -- Neural-evolutionary Fusion Algorithms and Their Applications.
After a vibrantandsuccessful eventin Burgos,Spain, last year,this year’s int- national conference on Intelligent Data Engineering and Automated Learning— IDEAL 2007 (http://events. cs. bham. ac. uk/ideal07/)—was held in the second largestcityoftheUK,Birmingham. TheIDEALconferencehasbecomeaunique multidisciplinary forum for researchers in both theoretical and practical aspects of learning and information processing, data mining, retrieval and management, bioinformaticsandbio-inspiredmodels,agentsandhybridsystems,and?nancial engineering. A special feature of the IDEAL conferences is the cross-disciplinary exchange of ideas in emerging techniques and applications in these areas. Data engineering and associated learning paradigms are playing increasingly imp- tantrolesinanincreasingnumber ofdisciplines and?elds. The multidisciplinary nature of contemporary research and modern technology is pushing boundaries andoneoftheprincipalaimsoftheIDEALconferenceistopromoteinteractions and collaborations across disciplines. This volume ofLecture Notes in Computer Science contains accepted papers presented at IDEAL 2007 held at the University of Birmingham, UK, during December 16–19, 2007. This year, the conference received over 270 submissions fromaroundtheworld,whichweresubsequentlypeer-refereedbytheProgramme Committee comprising leading scholars in the ?eld. Each paper was rigorously reviewed by two reviewers and only papers that had received positive comments from both reviewers were accepted and included in the proceedings in order to maintain the highest quality of the conference. This resulted in about 110 top quality papers for the conference and the proceedings. The acceptance rate was about 40%. The buoyant numbers of submissions in recent years are a clear - dication of the importance of the ?elds related to IDEAL and the popularity of the IDEAL conference and community.