Vipin Kumar, and Jaideep Srivastava, pkdd 2000 ( Technical Report # TR00-037 ). Uraz Yavanoglu ( ). Fast Supervised Dimensionality Reduction Algorithm with Applications to Document Categorization Retrieval (2000). Exploiting a Support-based Upper Bound of Pearson's Correlation Coefficient for Efficiently Identifying Strongly Correlated Pairs (2004 Hui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Kumar, in Proc.
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Proceedings of Europar '99. Parallel Algorithm Scalability Issues in Petaflops Architectures (2000). 2) There will be increased focus on health informatics data,.e., electronic health records and personal health data management/analysis 3) Focus on "data mining for social good" will continue to make waves,.e., open source Gov data mining, smart cities, smart utilities, etc. As an aside, the authors have done a spectacular job in presentation. Vipin Kumar organized by topics. Support Envelopes: A Technique for Exploring the Structure of Association Patterns (2004). Isoefficiency Function: A Scalability Metric for Parallel Algorithms and Architectures (1993). On Knowledge essay writing on diwali in sanskrit Discovery and Data Mining (sigkdd-2002).
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