Ebook: 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

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.

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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.

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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.
Content:
Front Matter....Pages -
Modality Classification for Medical Images Using Sparse Coded Affine-Invariant Descriptors....Pages 1-10
Mining Web Data for Epidemiological Surveillance....Pages 11-21
Getting a Grasp on Clinical Pathway Data: An Approach Based on Process Mining....Pages 22-35
ALIVE: A Multi-relational Link Prediction Environment for the Healthcare Domain....Pages 36-46
The Relevance of Spatial Relation Terms and Geographical Feature Types....Pages 47-56
Applying NLP Techniques for Query Reformulation to Information Retrieval with Geographical References....Pages 57-69
Adaptive Evidence Accumulation Clustering Using the Confidence of the Objects’ Assignments....Pages 70-87
An Explicit Description of the Extended Gaussian Kernel....Pages 88-99
An Improved Genetic Clustering Algorithm for Categorical Data....Pages 100-111
Instance-Ranking: A New Perspective to Consider the Instance Dependency for Classification....Pages 112-123
Triangular Kernel Nearest-Neighbor-Based Clustering Algorithm for Discovering True Clusters....Pages 124-140
DisClose: Discovering Colossal Closed Itemsets via a Memory Efficient Compact Row-Tree....Pages 141-156
Back Matter....Pages -

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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.
Content:
Front Matter....Pages -
Modality Classification for Medical Images Using Sparse Coded Affine-Invariant Descriptors....Pages 1-10
Mining Web Data for Epidemiological Surveillance....Pages 11-21
Getting a Grasp on Clinical Pathway Data: An Approach Based on Process Mining....Pages 22-35
ALIVE: A Multi-relational Link Prediction Environment for the Healthcare Domain....Pages 36-46
The Relevance of Spatial Relation Terms and Geographical Feature Types....Pages 47-56
Applying NLP Techniques for Query Reformulation to Information Retrieval with Geographical References....Pages 57-69
Adaptive Evidence Accumulation Clustering Using the Confidence of the Objects’ Assignments....Pages 70-87
An Explicit Description of the Extended Gaussian Kernel....Pages 88-99
An Improved Genetic Clustering Algorithm for Categorical Data....Pages 100-111
Instance-Ranking: A New Perspective to Consider the Instance Dependency for Classification....Pages 112-123
Triangular Kernel Nearest-Neighbor-Based Clustering Algorithm for Discovering True Clusters....Pages 124-140
DisClose: Discovering Colossal Closed Itemsets via a Memory Efficient Compact Row-Tree....Pages 141-156
Back Matter....Pages -
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