Zobrazeno 1 - 9
of 9
pro vyhledávání: '"K. R. Suneetha"'
Publikováno v:
Studies in Computational Intelligence ISBN: 9783030966331
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37a19864ad753f6ba7cb2ad283030b35
https://doi.org/10.1007/978-3-030-96634-8_1
https://doi.org/10.1007/978-3-030-96634-8_1
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9789811685118
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f3df7e7632a9a46a311e5a86b62d953
https://doi.org/10.1007/978-981-16-8512-5_36
https://doi.org/10.1007/978-981-16-8512-5_36
Publikováno v:
Studies in Computational Intelligence ISBN: 9783030966331
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ffc7273452bb8eb54f02e00f498a251
https://doi.org/10.1007/978-3-030-96634-8_33
https://doi.org/10.1007/978-3-030-96634-8_33
Publikováno v:
2021 International Conference on Intelligent Technologies (CONIT).
Rolling Doors or shutters play an important role as a means of security and privacy of street shops in many countries. These shutters have flimsy locking mechanisms which makes them vulnerable and can be broken in easily. In this paper, we have imple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::120854fadadc40a4c96fb565c146749a
https://doi.org/10.1109/conit51480.2021.9498377
https://doi.org/10.1109/conit51480.2021.9498377
Publikováno v:
Computer Networks and Inventive Communication Technologies ISBN: 9789811596469
This paper focuses on the different association rule mining algorithms and their applications in modern fields of deep learning and neural networks which form the pillar stones of new age problem solving. Association rule mining algorithms are catego
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::797ac107070381ba59641ad00f2aa621
https://doi.org/10.1007/978-981-15-9647-6_27
https://doi.org/10.1007/978-981-15-9647-6_27
Autor:
Kshitij Mani, K R Suneetha
Publikováno v:
2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE).
Web Usage Mining is the process of automatic extraction of user navigation patterns from the Web Log files. Search Engines and e-Commerce websites collect a lot of clickstream data and leverage this technique to provide their users with personalized
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f12f72c19b84437b605018a8984c968
https://doi.org/10.1109/ic-etite47903.2020.166
https://doi.org/10.1109/ic-etite47903.2020.166
Publikováno v:
2017 International Conference on IoT and Application (ICIOT).
Apriori algorithm is an influential data mining algorithm which generates a list of most frequent web pages visited. Due to fast changing contents of database one needs an algorithm which is real time. The major drawback of Apriori algorithm is that,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a96ca5544b02fbd8327a98ad4b216a4
https://doi.org/10.1109/iciota.2017.8073615
https://doi.org/10.1109/iciota.2017.8073615
Autor:
R. Krishnamoorti, K R Suneetha
Publikováno v:
International Journal of Computer Applications. 29:23-27
Association Rule mining is one of the important and most popular data mining technique. It extracts interesting correlations, frequent patterns and associations among sets of items in the transaction databases or other data repositories. Most of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::060d7fb7065e8e036dd5043134a171c1
https://doi.org/10.5120/3569-4923
https://doi.org/10.5120/3569-4923
Autor:
K R Suneetha, R. Krishnamoorti
Publikováno v:
2010 First International Conference on Integrated Intelligent Computing.
Apriori algorithm is a popular classical algorithm of association rule mining. This paper discusses the limitations of the original Apriori algorithm and presents an advanced version of Apriori algorithm to increase the efficiency of generating assoc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7859419f641a1a891a6a1763dd279375
https://doi.org/10.1109/iciic.2010.64
https://doi.org/10.1109/iciic.2010.64