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Vipin Kumar

Researcher at University of Minnesota

Publications -  678
Citations -  67181

Vipin Kumar is an academic researcher from University of Minnesota. The author has contributed to research in topics: Parallel algorithm & Computer science. The author has an hindex of 95, co-authored 614 publications receiving 59034 citations. Previous affiliations of Vipin Kumar include University of Maryland, College Park & United States Department of the Army.

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Isoefficiency: measuring the scalability of parallel algorithms and architectures

TL;DR: Isoefficiency analysis helps us determine the best algorithm/architecture combination for a particular problem without explicitly analyzing all possible combinations under all possible conditions as mentioned in this paper, which is the case here.
Posted Content

Spatio-Temporal Data Mining: A Survey of Problems and Methods

TL;DR: A broad survey of this relatively young field of spatio-temporal data mining is presented and literature is classified into six major categories: clustering, predictive learning, change detection, frequent pattern mining, anomaly detection, and relationship mining.
Journal ArticleDOI

On the efficiency of parallel backtracking

TL;DR: Experimental results for many synthetic and practical problems run on various parallel machines that validate the theoretical analysis are presented, and it is shown that the average speedup obtained is linear when the distribution of solutions is uniform and superlinear when the distributed distribution is nonuniform.
Proceedings Article

Optimizing F-Measure with Support Vector Machines

TL;DR: It is demonstrated that with the right parameter settings SVMs approximately optimize F-measure in the same way that SVMs have already been known to approximately optimize accuracy.