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Solving a
prisoner’s dilemma in distributed anomaly detection
Aleksandar Lazarevic, Nisheeth Srivastava, Ashutosh
Tewari, Josh Isom, Nikunj Oza, and Jadeep Srivastava
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
Mining for Core Patterns in Stock Market Data
Jianfei Wu, Anne Denton,
Omar Omar Elariss, and Dianxiang Xu
LNBC : A Link-Based Naive Bayes Classifier
Bahareh Bina, Oliver
Schulte, and Hassan Khosravi
1.
Efficient Discovery of Closed Hyperclique Patterns in
Multidimensional Structured Databases
Tomonobu Ozaki and Takenao Ohkawa
Frequent Pattern Discovery from a Single Graph with
Quantitative Itemsets
Yuuki Miyoshi, Tomonobu Ozaki, and Takenao Ohkawa
Improving Similarity Join Algorithm Using Fuzzy
Clustering Techniques
Lisa Tan, Farshad Fotouhi, William Grosky, Horia F.
Pop, and Noureddine Mouaddib
Mining Multiple Satellite Sensor Data Using
Collaborative Clustering
Germain Forestier, Cédric Wemmert, and Pierre
Gancarski
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
Feature Selection with High-Dimensional Imbalanced
Data
Jason Van Hulse, Taghi Khoshgoftaar, Amri Napolitano,
and Randall Wald
Mining Data from Multiple Software Development
Projects
Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao, and
Naeem Seliya
1.
Bucket Learning:
Improving Model Quality through Enhancing Local Patterns
Guangzhi Qu