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 - Lecture Notes in Computer Science / Lecture Notes in Artif

Jacket Description/Back: 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. Table of Contents: Modality Classification for Medical Images Using Sparse Coded Affine-Invariant Descriptors.-Mining Web Data for Epidemiological Surveillance.-Getting a Grasp on Clinical Pathway Data: An Approach Based on Process Mining.-ALIVE: A Multi-relational Link Prediction Environment for the Healthcare Domain.-The Relevance of Spatial Relation Terms andGeographical Feature Types.-Applying NLP Techniques for Query Reformulation to Information Retrieval with Geographical References.-Adaptive Evidence Accumulation Clustering Using the Confidence of the Objects Assignments.-An Explicit Description of the Extended Gaussian Kernel.-An Improved Genetic Clustering Algorithm for Categorical Data.-Instance-Ranking: A New Perspective to Consider the Instance Dependency for Classification.-Triangular Kernel Nearest-Neighbor-Based Clustering Algorithm for Discovering True Clusters.-"DisClose" "Dis"covering Colossal "Closed "Itemsets via a Memory Efficient Compact Row-Tree.-Mining Web Data for Epidemiological Surveillance.-Getting a Grasp on Clinical Pathway Data: An Approach Based on Process Mining.-ALIVE: A Multi-relational Link Prediction Environment for the Healthcare Domain.-The Relevance of Spatial Relation Terms andGeographical Feature Types.-Applying NLP Techniques for Query Reformulation to Information Retrieval with Geographical References.-Adaptive Evidence Accumulation Clustering Using the Confidence of the Objects Assignments.-An Explicit Description of the Extended Gaussian Kernel.-An Improved Genetic Clustering Algorithm for Categorical Data.-Instance-Ranking: A New Perspective to Consider the Instance Dependency for Classification.-Triangular Kernel Nearest-Neighbor-Based Clustering Algorithm for Discovering True Clusters.-"DisClose" "Dis"covering Colossal "Closed "Itemsets via a Memory Efficient Compact Row-Tree."