Emerging Trends in Knowledge Discovery and Data Mining

1. Front Matter

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2. Modality Classification for Medical Images Using Sparse Coded Affine-Invariant Descriptors

   • Viktor Gál, Illés Solt, Etienne Kerre, Mike Nachtegael

   Pages 1-10

3. Mining Web Data for Epidemiological Surveillance

   • Didier Breton, Sandra Bringay, François Marques, Pascal Poncelet, Mathieu Roche

   Pages 11-21

4. Getting a Grasp on Clinical Pathway Data: An Approach Based on Process Mining

   • Jochen De Weerdt, Filip Caron, Jan Vanthienen, Bart Baesens

   Pages 22-35

5. ALIVE: A Multi-relational Link Prediction Environment for the Healthcare Domain

   • Reid A. Johnson, Yang Yang, Everaldo Aguiar, Andrew Rider, Nitesh V. Chawla

   Pages 36-46

6. The Relevance of Spatial Relation Terms and Geographical Feature Types

   • Chunju Zhang, Xueying Zhang, Chaoli Du

   Pages 47-56

7. Applying NLP Techniques for Query Reformulation to Information Retrieval with Geographical References

   • José M. Perea-Ortega, Miguel A. García-Cumbreras, L. Alfonso Ureña-López

   Pages 57-69

8. Adaptive Evidence Accumulation Clustering Using the Confidence of the Objects’ Assignments

   • João M. M. Duarte, Ana L. N. Fred, F. Jorge F. Duarte

   Pages 70-87

9. An Explicit Description of the Extended Gaussian Kernel

   • Yong Liu, Shizhong Liao

   Pages 88-99

10. An Improved Genetic Clustering Algorithm for Categorical Data

    • Hongwu Qin, Xiuqin Ma, Tutut Herawan, Jasni Mohamad Zain

    Pages 100-111

11. Instance-Ranking: A New Perspective to Consider the Instance Dependency for Classification

    • Xin Xia, Xiaohu Yang, Shanping Li, Chao Wu

    Pages 112-123

12. Triangular Kernel Nearest-Neighbor-Based Clustering Algorithm for Discovering True Clusters

    • Aina Musdholifah, Siti Zaiton Mohd Hashim

    Pages 124-140

13. DisClose: Discovering Colossal Closed Itemsets via a Memory Efficient Compact Row-Tree

    • Nurul F. Zulkurnain, David J. Haglin, John A. Keane

    Pages 141-156

14. Back Matter

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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.

• classification
• health informatics
• information retrieval
• machine learning
• process mining

• ISIR, Osaka University, Ibaraki, Japan

  Takashi Washio

• Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

  Jun Luo

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