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LEADER 00000cam a2200841Ii 4500 
003    OCoLC 
005    20160311025503.7 
006    m     o  d         
007    cr cnu---unuuu 
008    130227s2013    gw a    o     101 0 eng d 
019    SPRINGERocn828626264 
020    9783642367786 
020    364236778X 
020    3642367771 
020    9783642367779 
020    |z9783642367779 
024 7  10.1007/978-3-642-36778-6 
040    GW5XE|beng|erda|epn|cGW5XE|dYDXCP|dZMC|dCOO|dITD|dSNK
       |dOCLCA|dOHS|dOCLCA|dOCLCF|dUKMGB|dOCLCO|dVLB|dNLGGC
       |dOCLCO|dRIV|dOCL|dOCLCO|dOCLCQ|dOCLCO|dEBLCP 
049    MAIN 
050  4 QA76.9.D343|bP33 2012 
060  4 QA 76.9.D343 
082 04 006.3/12|223 
111 2  Pacific-Asia Conference on Knowledge Discovery and Data 
       Mining|d(2012 :|cKuala Lumpur, Malaysia) 
245 10 Emerging trends in knowledge discovery and data mining :
       |bPAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust,
       and DSDM, Kuala Lumpur, Malaysia, May 29-June 1, 2012, 
       Revised selected papers /|cTakashi Washio, Jun Luo (eds.).
246 3  PAKDD 2012 
246 3  DMHM 2012 
246 3  GeoDoc 2012 
246 3  3Clust 2012 
246 3  DSDM 2012 
260    Berlin ;|aNew York :|bSpringer,|c©2013. 
300    1 online resource (xii, 156 pages) :|billustrations. 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    image files|dPNG|2rda 
490 1  Lecture notes in artificial intelligence ;|v7769 
490 1  LNCS sublibrary. SL 7, Artificial intelligence 
500    Includes author index. 
504    Includes author index. 
505 00 |tModality Classification for Medical Images Using Sparse 
       Coded Affine-Invariant Descriptors /|rViktor Gál, Illés 
       Solt, Etienne Kerre --|tMining Web Data for 
       Epidemiological Surveillance /|rDidier Breton, Sandra 
       Bringay --|tGetting a Grasp on Clinical Pathway Data: An 
       Approach Based on Process Mining /|rJochen De Weerdt, 
       Filip Caron --|tALIVE: A Multi-relational Link Prediction 
       Environment for the Healthcare Domain /|rReid A. Johnson, 
       Yang Yang, Everaldo Aguiar --|tThe Relevance of Spatial 
       Relation Terms and Geographical Feature Types /|rChunju 
       Zhang, Xueying Zhang, Chaoli Du --|tApplying NLP 
       Techniques for Query Reformulation to Information 
       Retrieval with Geographical References /|rJosé M. Perea-
       Ortega --|tAdaptive Evidence Accumulation Clustering Using
       the Confidence of the Objects' Assignments /|rJoão M.M. 
       Duarte, Ana L.N. Fred --|tAn Explicit Description of the 
       Extended Gaussian Kernel /|rYong Liu, Shizhong Liao --|tAn
       Improved Genetic Clustering Algorithm for Categorical Data
       /|rHongwu Qin, Xiuqin Ma, Tutut Herawan --|tInstance-
       Ranking: A New Perspective to Consider the Instance 
       Dependency for Classification /|rXin Xia, Xiaohu Yang, 
       Shanping Li, Chao Wu --|tTriangular Kernel Nearest-
       Neighbor-Based Clustering Algorithm for Discovering True 
       Clusters /|rAina Musdholifah, Siti Zaiton Mohd Hashim --
       |tDisClose: Discovering Colossal Closed Itemsets via a 
       Memory Efficient Compact Row-Tree /|rNurul F. Zulkurnain, 
       David J. Haglin. 
520    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. 
650  0 Data mining|vCongresses. 
653  4 Computer science. 
653  4 Medical records -- Data processing. 
653  4 Data mining. 
653  4 Information storage and retrieval systems. 
653  4 Artificial intelligence. 
653  4 Health Informatics. 
653  4 Information Storage and Retrieval. 
653  4 Information Systems Applications (incl. Internet) 
655  4 Congressos. 
655  4 Llibres electrònics. 
655  7 Conference papers and proceedings.|2fast
       |0(OCoLC)fst01423772 
700 1  Washio, Takashi,|d1960-|eeditor. 
700 1  Luo, Jun,|eeditor. 
710 2  SpringerLink|eissuing body. 
711 2  DMHM 2012|d(2012 :|cKuala Lumpur, Malaysia) 
711 2  Multi-View Data, High Dimensionality, External Knowledge: 
       Striving for a Unified Approach to Clustering (Workshop)
       |d(2012 :|cKuala Lumpur, Malaysia) 
711 2  Geospatial Information and Documents (Workshop)|d(2012 :
       |cKuala Lumpur, Malaysia) 
711 2  Doctoral Symposium on Data Mining|n(2nd :|d2012 :|cKuala 
       Lumpur, Malaysia) 
830  0 Lecture notes in computer science.|pLecture notes in 
       artificial intelligence ;|v7769. 
830  0 LNCS sublibrary.|nSL 7,|pArtificial intelligence. 
830  0 Springer Lecture Notes in Computer Science 
856 40 |uhttps://ezp.lib.unimelb.edu.au/login?url=http://
       link.springer.com/10.1007/978-3-642-36778-6|zConnect to 
       ebook (University of Melbourne only) 
990    Springer Lecture Notes In Computer Science 
990    Batch Ebook load (bud2) - do not edit, delete or attach 
       any records. 
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