Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Shashi Prakash Tripathi"'
Publikováno v:
Future Generation Computer Systems. 127:409-420
Link prediction is a fundamental task in network theory due to the wide variety of applications in different domains. The objective of link prediction is to find the future links that are likely to be seen in some future time. In this paper, we propo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74fc29778b383fcddfcb229f9ff3114b
https://doi.org/10.1016/j.future.2021.09.024
https://doi.org/10.1016/j.future.2021.09.024
Publikováno v:
Proceedings of Third Doctoral Symposium on Computational Intelligence ISBN: 9789811931475
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa0f88d7f0a65f1910e331beecccc49c
https://doi.org/10.1007/978-981-19-3148-2_1
https://doi.org/10.1007/978-981-19-3148-2_1
Publikováno v:
International Journal of Web Based Communities. 16:1
Link prediction is an effective technique to be applied on graph-based models due to its wide range of applications. It helps to understand associations between nodes in social communities. The social networking systems use link prediction techniques
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbca927794daeef5a27d03e33effb102
https://doi.org/10.1504/ijwbc.2020.10024150
https://doi.org/10.1504/ijwbc.2020.10024150
Publikováno v:
International Journal of Web Based Communities. 16:51
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cee847b9103cca3959c817569c6517ec
https://doi.org/10.1504/ijwbc.2020.105119
https://doi.org/10.1504/ijwbc.2020.105119
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811311345
The prevalence of social networks like Myspace, Facebook, Hi5, and LinkedIn is increasing day by day, as they provide a platform where users of the social network can share their content. They also facilitate their users by recommending new friends o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::382bdf31071e1cedeafc3edbc1b71fbc
https://doi.org/10.1007/978-981-13-1135-2_9
https://doi.org/10.1007/978-981-13-1135-2_9
Autor:
Shashi Prakash Tripathi, Harsita Rai
Publikováno v:
2018 Second International Conference on Advances in Computing, Control and Communication Technology (IAC3T).
The advancements in digital technologies have led to the generation of huge amounts of data. This data can be in the form of natural language text which is easy to interpret for human but not for machines. Extracting information from this data in a f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::303f9fa597dfdbb8ab79c24c9096b98f
https://doi.org/10.1109/iac3t.2018.8674025
https://doi.org/10.1109/iac3t.2018.8674025