New Frontiers in Applied Data Mining: PAKDD 2011 International Workshops, Shenzhen, China, May 24-27, 2011, Revised Selected Papers
Longbing Cao, Joshua Zhexue Huang, James Bailey, Yun Sing Koh, Jun Luo
Springer Science & Business Media, Feb 15, 2012 - Computers - 508 pages
This book constitutes the thoroughly refereed post-conference proceedings of five international workshops held in conjunction with PAKDD 2011 in Shenzhen, China, in May 2011: the International Workshop on Behavior Informatics (BI 2011), the Workshop on Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE 2011), the Workshop on Biologically Inspired Techniques for Data Mining (BDM 2011), the Workshop on Advances and Issues in Traditional Chinese Medicine Clinical Data Mining (AI-TCM 2011), and the Second Workshop on Data Mining for Healthcare Management (DMGHM 2011). The book also includes papers from the First PAKDD Doctoral Symposium on Data Mining (DSDM 2011). The 42 papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics discussing emerging techniques in the field of knowledge discovery in databases and their application domains extending to previously unexplored areas such as data mining based on optimization techniques from biological behavior of animals and applications in Traditional Chinese Medicine clinical research and health care management.
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Quality Issues Measures of Interestingness and Evaluation of Data Mining Models Workshop QIMIE 2011
Workshop on Biologically Inspired Techniques for Data Mining BDM 2011
Workshop on Advances and Issues in Traditional Chinese Medicine Clinical Data Mining AITCM 2011
Second Workshop on Data Mining for Healthcare Management DMHM 2011
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accuracy analysis applications approach attributes Berlin Heidelberg 2012 biclustering blog calculated candidate classifier clustering algorithm compressed tidset Computer correlation cost data clustering data mining database dataset denoted detection dimensionality reduction distribution ensemble entropy evaluate example extracted facility location feature selection framework frequent function Heidelberg herbs IEEE input instance interactions interestingness measures itemsets k-means key-phrases Keywords Knowledge Discovery label LNAI LNCS Machine Learning matrix medicinal property method microRNA miRNAs neural network nodes optimal PAKDD 2011 Workshops paper parameters particle swarm particle swarm optimization partitioning patterns mined performance periodic-frequent patterns pre-miRNAs prediction problem proposed random ranking represented samples Section Self-Organizing Maps sequence serial episode similar Springer structure supervised learning symptoms syndrome elements Table techniques top-k topic TR-CT Traditional Chinese Medicine training set transaction tree utility vector visualization WARM SWARM weights Zhang