Institution
Indian Statistical Institute
Education•Kolkata, India•
About: Indian Statistical Institute is a education organization based out in Kolkata, India. It is known for research contribution in the topics: Population & Cluster analysis. The organization has 3475 authors who have published 14247 publications receiving 243080 citations. The organization is also known as: ISI & ISI Calcutta.
Topics: Population, Cluster analysis, Estimator, Fuzzy logic, Computer science
Papers published on a yearly basis
Papers
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TL;DR: A survey of the available literature on data mining using soft computing based on the different soft computing tools and their hybridizations used, the data mining function implemented, and the preference criterion selected by the model is provided.
Abstract: The present article provides a survey of the available literature on data mining using soft computing. A categorization has been provided based on the different soft computing tools and their hybridizations used, the data mining function implemented, and the preference criterion selected by the model. The utility of the different soft computing methodologies is highlighted. Generally fuzzy sets are suitable for handling the issues related to understandability of patterns, incomplete/noisy data, mixed media information and human interaction, and can provide approximate solutions faster. Neural networks are nonparametric, robust, and exhibit good learning and generalization capabilities in data-rich environments. Genetic algorithms provide efficient search algorithms to select a model, from mixed media data, based on some preference criterion/objective function. Rough sets are suitable for handling different types of uncertainty in data. Some challenges to data mining and the application of soft computing methodologies are indicated. An extensive bibliography is also included.
630 citations
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TL;DR: It is suggested that, in horotelic evolution, the mean time taken for each gene substitution is about 300 generations, which accords with the observed slowness of evolution.
Abstract: Unless selection is very intense, the number of deaths needed to secure the substitution, by natural selection, of one gene for another at a locus, is independent of the intensity of selection. It is often about 30 times the number of organisms in a generation. It is suggested that, in horotelic evolution, the mean time taken for each gene substitution is . about 300 generations. This accords with the observed slowness of evolution.
622 citations
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TL;DR: Assessment of Significant ZERo crossings of derivatives results in the SiZer map, a graphical device for display of significance of features with respect to both location and scale.
Abstract: In the use of smoothing methods in data analysis, an important question is which observed features are “really there,” as opposed to being spurious sampling artifacts. An approach is described based on scale-space ideas originally developed in the computer vision literature. Assessment of Significant ZERo crossings of derivatives results in the SiZer map, a graphical device for display of significance of features with respect to both location and scale. Here “scale” means “level of resolution”; that is, “bandwidth.”
620 citations
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TL;DR: A review of the OCR work done on Indian language scripts and the scope of future work and further steps needed for Indian script OCR development is presented.
592 citations
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TL;DR: In this paper, the structural characteristics of micro-emulsions and their dynamic and transport behaviors have been presented in detail and underlying principles of the methodologies used for the above understanding have been concisely documented and discussed.
590 citations
Authors
Showing all 3564 results
Name | H-index | Papers | Citations |
---|---|---|---|
Suvadeep Bose | 154 | 960 | 129071 |
Aravinda Chakravarti | 120 | 451 | 99632 |
Martin Ravallion | 115 | 570 | 55380 |
Soma Mukherjee | 95 | 266 | 59549 |
Jagdish N. Bhagwati | 81 | 368 | 27038 |
Sankar K. Pal | 70 | 446 | 23727 |
Dabeeru C. Rao | 69 | 330 | 23214 |
Jiju Antony | 68 | 411 | 17290 |
Swagatam Das | 64 | 370 | 19153 |
Suman Banerjee | 58 | 266 | 14295 |
Nikhil R. Pal | 55 | 266 | 18481 |
Debraj Ray | 55 | 210 | 13663 |
Kaushik Basu | 54 | 323 | 13030 |
Dipankar Chakraborti | 54 | 115 | 12078 |
Abhik Ghosh | 54 | 420 | 10555 |