its main functions of adaptive learning, predictive generalisation, knowledge discovery, creative thinking. Applications span across all disciplines, e.g
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Management Knowledge Management RelMiCS-AKA 2009 2009-11-01 → 2009-11-05 Database DaWaK 2009 2009-08-31 → 2009-09-04 Database Data Warehousing Knowledge Discovery
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Data Search and Information Retrieval Techniques - Data Mining and Knowledge Discovery Approaches - Machine Learning Techniques for Big Data - Big Data Acquisition
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European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases Start Date 2004-09-20 End Date 2004-09-24 Status as scheduled
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European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases Start Date 2001-09-03 End Date 2001-09-07 Status as scheduled
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distributed and mobile systems, data and information retrieval, knowledge discovery, and computational linguistics. The increasing effectiveness and adoption
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integration in data and knowledge bases * Knowledge discovery in data and knowledge bases * Validation and Verification of data and knowledge base designs * Formal
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and theories. * Machine learning theories, models and systems. * Knowledge discovery theories, models and systems. * Manifold and metric learning. * Deep
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European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases Start Date 2012-09-24 End Date 2012-09-28 Status as scheduled
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structures including data mining and knowledge discovery theory and applications of formal ontologies graph-based knowledge representation and reasoning Authors
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Mobile Computing and Sensor Networks * Data and the Web * Data Mining, Knowledge Discovery and Stream Databases * Data Warehousing and Decision Support * Uncertainty
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mining techniques can contribute to discover new knowledge, how to organize and manage the discovered knowledge and concepts. The multimedia data appear in
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Databases for bioinformatics. * Databases and ontologies. * Data mining/knowledge discovery. * Data warehousing. * Database integration issues. * Mobile Databases
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Intelligence Cyber Physical Systems Data Analytics Data/Web Mining and Knowledge Discovery Data Science Deep Learning Evolutionary Computation Evolving Systems
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Tutoring Systems Knowledge Acquisition Knowledge and Information Management Knowledge Delivery Knowledge Discovery Knowledge-Based Systems Knowledge-Based Problem
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Intelligent user interfaces * Intelligent business * Knowledge acquisition * Knowledge discovery * Knowledge management * Languages for AI * Learning and adaptive
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Infrastructures/ Spatial data ecosystems Spatial Data Mining and Knowledge Discovery Spatial databases and data management Spatial Statistics and Geostatistics
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Artificial Immune Systems (AIS), * Computational Linguistics (CL), * Knowledge Discovery (KD), * Search Engines (SE). * The Conference's focus will also be
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Informatics Education Security, Ethics and Privacy Data Mining and Knowledge Discovery in HI Medical Signal/Image Analysis and Visualization Medical Imaging
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and Applications Web information mining and retrieval Data Mining & Knowledge Discovery Web services, SOA and Grid Computing Deep web technology XML and semistructured
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