TY - BOOK ID - 7686001 TI - Emerging Trends in Knowledge Discovery and Data Mining : PAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust, and DSDM, Kuala Lumpur, Malaysia, May 29 -- June 1, 2012, Revised Selected Papers AU - Washio, Takashi. AU - Luo, Jun. AU - Pacific-Asia Conference on Knowledge Discovery and Data Mining PY - 2013 SN - 3642367771 364236778X PB - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, DB - UniCat KW - Engineering & Applied Sciences KW - Computer Science KW - Computer science. KW - Health informatics. KW - Data mining. KW - Information storage and retrieval. KW - Artificial intelligence. KW - Computer Science. KW - Data Mining and Knowledge Discovery. KW - Artificial Intelligence (incl. Robotics). KW - Health Informatics. KW - Information Storage and Retrieval. KW - Information Systems Applications (incl. Internet). KW - Data mining KW - Data Mining. KW - Datenanalyse. KW - Wissensextraktion. KW - Statistische Auswertung KW - Datenauswertung KW - Statistische Datenanalyse KW - Data analysis KW - Data-analysis KW - Datamining KW - Datenmustererkennung KW - Data-Mining KW - Suchverfahren KW - Wissensextraktion KW - Wissensentdeckung KW - Wissensgewinnung KW - Knowledge Discovery KW - Knowledge Discovery in Databases KW - KDD KW - Wissensextraktion aus Datenbanken KW - Regelextraktion aus Datenbanken KW - Data Mining KW - Information Extraction KW - Medical records KW - Information storage and retrieva. KW - Artificial Intelligence. KW - Data processing. KW - Algorithmic knowledge discovery KW - Factual data analysis KW - KDD (Information retrieval) KW - Knowledge discovery in data KW - Knowledge discovery in databases KW - Mining, Data KW - Database searching KW - EHR systems KW - EHR technology KW - EHRs (Electronic health records) KW - Electronic health records KW - Electronic medical records KW - EMR systems KW - EMRs (Electronic medical records) KW - Information storage and retrieval systems 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 - Medical care 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 - Computer systems KW - Electronic information resources KW - Data libraries KW - Digital libraries KW - Information organization KW - Information retrieval KW - Application software. KW - Application computer programs KW - Application computer software KW - Applications software KW - Apps (Computer software) KW - Computer software KW - Clinical informatics KW - Health informatics KW - Medical information science KW - Information science KW - Medicine KW - Data processing KW - Medical informatics. UR - https://www.unicat.be/uniCat?func=search&query=sysid:7686001 AB - This book constitutes the thoroughly refereed proceedings of the PAKDD 2012 International Workshops: Third Workshop on Data Mining for Healthcare Management (DMHM 2012), First Workshop on Geospatial Information and Documents (GeoDoc 2012), First Workshop on Multi-view data, High-dimensionality, External Knowledge: Striving for a Unified Approach to Clustering (3Clust 2012), and the Second Doctoral Symposium on Data Mining (DSDM 2012); held in conjunction with the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2012), in Kuala Lumpur, Malaysia, May/June 2012. The 12 revised papers presented were carefully reviewed and selected from numerous submissions. DMHM 2012 aimed at providing a common platform for the discussion of challenging issues and potential techniques in this emerging field of data mining for health care management; 3Clust 2012 focused on solving emerging problems such as clustering ensembles, semi-supervised clustering, subspace/projective clustering, co-clustering, and multi-view clustering; GeoDoc 2012 highlighted the formalization of geospatial concepts and relationships with a focus on the extraction of geospatial relations in free text datasets to offer to the database community a unified framework for geodata discovery; and DSDM 2012 provided the opportunity for Ph.D. students and junior researchers to discuss their work on data mining foundations, techniques and applications. ER -