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Emerging Trends in Knowledge Discovery and Data Mining: Pakdd 2012 International Workshops: Dmhm, Geodoc, 3clust, and Dsdm, Kuala Lumpur, Malaysia, Ma

Emerging Trends in Knowledge Discovery and Data Mining: Pakdd 2012 International Workshops: Dmhm, Geodoc, 3clust, and Dsdm, Kuala Lumpur, Malaysia, Ma (Paperback, 2013)

Takashi Washio, Jun Luo (엮은이)
Springer-Verlag New York Inc
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Emerging Trends in Knowledge Discovery and Data Mining: Pakdd 2012 International Workshops: Dmhm, Geodoc, 3clust, and Dsdm, Kuala Lumpur, Malaysia, Ma
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책 정보

· 제목 : Emerging Trends in Knowledge Discovery and Data Mining: Pakdd 2012 International Workshops: Dmhm, Geodoc, 3clust, and Dsdm, Kuala Lumpur, Malaysia, Ma (Paperback, 2013) 
· 분류 : 외국도서 > 컴퓨터 > 인공지능(AI)
· ISBN : 9783642367779
· 쪽수 : 157쪽
· 출판일 : 2013-02-20

목차

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.

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