The Fourth International Workshop on

Mining Multiple Information Sources

In conjunction with The IEEE International Conference on Data Mining (ICDM 2010)

December 14 2010, Sydney, Australia

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Accepted Papers 

 
Papers are listed in their original submission order 
 
                   Learning Document Labels from Enriched Click Graphs
               Lan Nie
                   Yahoo! Labs, USA
 
               CUBS:Multivariate Sequence Classification Using Bounded Z-score with Sampling
               Ariella Richardson, Gal Kaminka, and Sarit Kraus
                   Bar Ilan University, Israel 
 
               Utilizing Multiple Labels for Supervised Learning
               Victor Sheng1 and Foster Provost2
                   1 University of Central Arkansas, USA
                   2 New York University, USA
 
               PTCR-Miner: Progressive Temporal Class Rule Mining for Multivariate Temporal Data Classification
               Chao-Hui Lee and Vincent. S. Tseng
                   National Cheng Kung University, Tainan, Taiwan
 
               Learning a Combination of Dissimilarities from a Set of Equivalence Constraints
               Manuel Martin-Merino1 and Javier De Las Rivas2
                   1 University Pontificia of Salamanca, Spain
                   2 Cancer Research Center of Salamanca, Spain
 
               A Triple-Random Ensemble Classification Method for Mining Multi-label Data
               Gulisong Nasierding
                   Deakin University, Australia
 
               Diffusion Maps: A Superior Semantic Method to Improve Similarity Join Performance
               Bilal Hawashin1, Farshad Fotouhi1, and William Grosky2
                   1 Wayne State University, USA
                   2 University of Michigan - Dearborn, USA
 
               Differential Analysis on Deep Web Data Sources
               Tantan Liu, Jiedan Zhu, Fan Wang, and Gagan Agrawal
                   Ohio State University, USA
 
               W-LEACH: Weighted Low Energy Adaptive Clustering Hierarchy Aggregation Algorithm for Data Streams in Wireless Sensor Networks
               Hanady Abdulsalam and Layla Kamel
                   Kuwait University, Kuwait
 
               Multiple Feature-based Classifier and Its Application to Image Classification
               Dong-Chul Park
                   Myong Ji University, Republic of Korea
 
               Event Data Mining and Classification from Multiple Streaming Sources
               Ashit Talukder
                   Jet Propulsion Laboratory, California Institute of Technology, USA
 
               Mining research topics evolving over time using a diachronic multi-source approach
               Jean-Charles Lamirel
                   INRIA TALARIS team LORIA, France
 
               Distributed classification on peers with variable data spaces and distributions
               Vivekanand Gopalkrishnan
                   Nanyang Technological University, Singapore