The Third International Workshop

Mining Multiple Information Sources

In conjunction with the IEEE International Conference on Data Mining (ICDM 2009)

December 6 2009, Miami, USA

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[Home] [Call For Papers] [Accepted Papers] [Workshop Program] [Program Committee]

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Workshop Program (Morning)

Keynote Talk [9:00AM – 10: 00AM]

Spatio-Temporal Characterization of Aerosols through Active Use of Data from Multiple Sensors

Prof. Zoran Obradovic

Center for Information Science and Technology, Temple University, Philadelphia, PA

Coffee Break [10:00AM – 10: 30AM]

Section 1: Supervised Learning & Feature Selection [10:30AM – 12: 10AM]

TagLearner: A P2P Classifier Learning System from Collaboratively Tagged Text Documents

Haimonti Dutta, Xianshu Zhu, Tushar Muhale, Hillol Kargupta, Kirk Borne, Codrina Lauth, Florian Holz, and Gerherd Heyer

Columbia University, USA

LNBC : A Link-Based Naive Bayes Classifier

Bahareh Bina, Oliver Schulte, and Hassan Khosravi

Simon Fraser University, Canada

Mining Data from Multiple Software Development Projects

Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao, and Naeem Seliya

Western Kentucky University, USA

Feature Selection with High-Dimensional Imbalanced Data

Jason Van Hulse, Taghi Khoshgoftaar, Amri Napolitano, and Randall Wald

Florida Atlantic University, USA

Bucket Learning: Improving Model Quality through Enhancing Local Patterns

Guangzhi Qu

Oakland University, USA

Workshop Program (Afternoon)

Invited Talk: TBA [2:00PM - 2:45PM]

Haystack or Gold Mine? Challenges and Opportunities in Mining Biomedical Data

Prof. Kun Huang

The Ohio State University Medical Center

Section 2: Pattern Discovery and Anomaly Detection [2:45PM – 4: 15 PM]

Mining for Core Patterns in Stock Market Data

Jianfei Wu, Anne Denton, Omar Omar Elariss, and Dianxiang Xu

North Dakota State University, USA

Solving a Prisoner’s Dilemma in Distributed Anomaly Detection

Aleksandar Lazarevic, Nisheeth Srivastava, Ashutosh Tewari, Josh Isom, Nikunj Oza, and Jadeep Srivastava

University of Minnesota, USA [The first author’s affiliation]

Efficient Discovery of Closed Hyperclique Patterns in Multidimensional Structured Databases

Tomonobu Ozaki and Takenao Ohkawa

Kobe University, Japan

Frequent Pattern Discovery from a Single Graph with Quantitative Itemsets

Yuuki Miyoshi, Tomonobu Ozaki, and Takenao Ohkawa

Kobe University, Japan

Coffee Break [4:15 PM – 4: 30 PM]

Section 3: Clustering & Hybrid Approaches [4:30PM – 5:30 PM]

Hybrid Clustering by Integrating Text and Citation based Graphs in Journal Database Analysis

Xinhai Liu, Shi Yu, Wolfgang Glänzel, Frizo Janssens, and Bart De Moor

Katholieke Universiteit Leuven, Belgium

Improving Similarity Join Algorithm Using Fuzzy Clustering Techniques

Lisa Tan, Farshad Fotouhi, William Grosky, Horia F. Pop, and Noureddine Mouaddib

Wayne State University, USA

Mining Multiple Satellite Sensor Data Using Collaborative Clustering

Germain Forestier, Cédric Wemmert, and Pierre Gancarski

University of Strasbourg, France