Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Subrata Datta"'
Publikováno v:
International Journal of Occupational Safety and Health, Vol 4, Iss 2, Pp 15-18 (2016)
Background: Child malnutrition is one of the most vital global health problems concerning in most of the poor communities leading to high morbidity and mortality. Various studies have highlighted the relationship between socioeconomic status and nutr
Externí odkaz:
https://doaj.org/article/e20ee8e92ed64e3d99f15b13e935f610
Publikováno v:
The Computer Journal. 66:342-359
The study of coherent association rules based on propositional logic is an important area of association rule mining. Users may get a large number of itemsets for low minsup and lose valuable itemsets for high minsup. Mining without minsup may cause
Publikováno v:
Arabian Journal for Science and Engineering. 47:2061-2075
Discovering high occupancy itemsets is an interesting area of research in data mining. Occupancy computation in traditional approaches is restricted to the occupied portions of the itemsets in the supporting transactions only. It can’t distinguish
Publikováno v:
Arabian Journal for Science and Engineering. 46:3169-3188
Weighted association rule mining is an effective approach in discovering hidden relationships among the important items in a transactional database. Weight of an item reflects its importance in the database. However, most of the traditional methods a
Publikováno v:
IETE Journal of Research. 69:733-752
Mining frequent patterns with single minimum support is quite unpredictable as it may miss rare itemsets depending upon the high value of minimum threshold. The phenomenon is commonly known as “rar...
Autor:
Rajlakshmi Poi, Subrata Datta Roy, Sudip Bhattacharyya, Inul Ansary, Rajib Karmakar, Dipak Kumar Hazra, Swagata Mandal
Publikováno v:
Journal of AOAC INTERNATIONAL. 103:62-67
Background: Pesticide residue in fish is a global food safety concern. However, very few validated methods are available targeting simultaneous analysis of multiple classes of pesticides. Objective: The aim of this study was to validate a quick, easy
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing.
Autor:
Subrata Datta, Kalyani Mali
Publikováno v:
Data Intelligence and Cognitive Informatics ISBN: 9789811664595
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bd95efb0a98e6010ed97ede540ae951
https://doi.org/10.1007/978-981-16-6460-1_17
https://doi.org/10.1007/978-981-16-6460-1_17
Autor:
Subrata Datta, Kalyani Mali
Publikováno v:
ICCCNT
Support based popular itemset mining often misguides the users in proper knowledge discovery in connection with many real world applications such as social network analysis, source identification of epidemic diseases etc. Support only expresses the f
Autor:
Kalyani Mali, Subrata Datta
Publikováno v:
2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS).
Traditional support-confidence framework based association rule mining approaches often generate huge number of rules including the insignificant ones. These insignificant association rules are useless in knowledge discovery. One of the main reasons