Emerging Trends in Knowledge Discovery and Data Mining
Description
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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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 and Geographical 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 and Geographical 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.
