S
Saptarsi Goswami
Researcher at Bangabasi College
Publications - 67
Citations - 712
Saptarsi Goswami is an academic researcher from Bangabasi College. The author has contributed to research in topics: Feature selection & Cluster analysis. The author has an hindex of 11, co-authored 62 publications receiving 475 citations. Previous affiliations of Saptarsi Goswami include Information Technology University & University of Calcutta.
Papers
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Journal ArticleDOI
A review on application of data mining techniques to combat natural disasters
TL;DR: An extensive and in-depth literature study on current techniques for disaster prediction, detection and management has been done and the results are summarized according to various types of disasters.
Journal ArticleDOI
A Novel Feature Selection Technique for Text Classification Using Naïve Bayes
TL;DR: A two-step feature selection method based on firstly a univariate feature selection and then feature clustering, where the proposed algorithm is shown to outperform other traditional methods like greedy search based wrapper or CFS.
Journal ArticleDOI
A new hybrid feature selection approach using feature association map for supervised and unsupervised classification
TL;DR: A hybrid feature selection algorithm using graph-based technique has been proposed, which has used the concept of Feature Association Map as an underlying foundation and has used graph-theoretic principles of minimal vertex cover and maximal independent set to derive feature subset.
Book ChapterDOI
A Short Review on Different Clustering Techniques and Their Applications
TL;DR: A concise description of the existing types of clustering approaches is given followed by a survey of the fields where clustering analytics has been effectively employed in pattern recognition and knowledge discovery.
Journal ArticleDOI
Feature Selection: A Practitioner View
TL;DR: A near comprehensive list of problems that have been solved using feature selection across technical and commercial domain is produced and can serve as a valuable tool to practitioners across industry and academia.