Zobrazeno 1 - 10 of 10 pro vyhledávání: '"Himanshu Suyal"'
4
An Improved Multi-label k-Nearest Neighbour Algorithm with Prototype Selection using DENCLUE
Autor: Monia, Himanshu Suyal, Aditya Gupta
Publikováno v: 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO).
Prototype Selection (PS) techniques can be implemented very efficiently to allow the nearest neighbor classification to be faster by using a simple method to preserve the most prominent data for the Multi-Label k-Nearest Neighbour (ML-kNN) training.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f8b550104ce121b6f047d822aa561495
https://doi.org/10.1109/icrito51393.2021.9596427
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5
IMPROVED INFORMATION FILTERING FOR TWITTER BASED ON THE SEMANTIC KNOWLEDGE
Autor: Kuldeep Singh, Himanshu Suyal, Sunil Bisht
Publikováno v: International Journal of Advanced Research in Computer Science. 8:361-367
As the outgrowth of the internet as well as the social networks like twitter, Facebook user may get flooded out of raw information. Twitter message is short and may not contain enough contextual information, so traditional clustering method which uti
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ef54a92d77c23d0d0ddfa369feb5dad1
https://doi.org/10.26483/ijarcs.v8i7.4277
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7
Text Clustering Algorithms: A Review
Autor: Amit Panwar, Himanshu Suyal, Ajit Singh Negi
Publikováno v: International Journal of Computer Applications. 96:36-40
With the growth of Internet, large amount of text data is increasing, which are created by different media like social networking sites, web, and other informatics sources, etc. This data is in unstructured format which makes it tedious to analyze it
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c6c82f210bf796c67e3b70a8bd71ddde
https://doi.org/10.5120/16946-7075
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8
Improved Information Filtering and Feature Dimensionality Reduction using Semantic based Feature Dataset for Text Classification: In Context to Social Network
Autor: R. B. Patel, Himanshu Suyal
Publikováno v: International Journal of Computer Applications. 94:42-46
Micro-blogging web services such as Twitter, the user is often bombarded with tons of information and raw data, with user unable to classify it into right category. The solution to overcome this problem can be derived from automatic text classificati
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e66cabeefddd23e2d9b535aab1487d83
https://doi.org/10.5120/16463-6194
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