Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Subrata Bose"'
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
Autor:
Subrata Bose
Publikováno v:
International Journal of Information Privacy, Security and Integrity. 4:170
This paper proposes a privacy-preserving collaborative query service by a service provider for customer's information on demand by secured processing of multi-source data. The customer and the data sources are unknown to each other. The service provi
Autor:
Subrata Bose
Publikováno v:
International Journal of Internet Technology and Secured Transactions. 9:112
Scalar product is repeatedly used in a large family of applications. It is a useful building block of many scientific and business applications. Secure scalar product computation is widely used in many privacy-preserving computation domains. In this
Publikováno v:
ICISSP
Autor:
Subrata Bose, Asim K. Pal
Publikováno v:
HICSS
Growth of computing and analytics, internet and distributed computing, and increasing tendency to use crowd sourcing for creative tasks, the use of collaborative idea in information intensive activities is a growing research concern. In CIS companies
Mining and Ranking Association Rules in Support, Confidence, Correlation, and Dissociation Framework
Autor:
Subrata Datta, Subrata Bose
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9788132226932
FICTA
FICTA
Existing methods in association rule mining based on traditional support-confidence framework generates huge number of frequent patterns and association rules often ignoring the dissociation among items. Moreover these procedures are unable to order
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a87cf2f76bfa85e570f4c74fa60f56f6
https://doi.org/10.1007/978-81-322-2695-6_13
https://doi.org/10.1007/978-81-322-2695-6_13
Autor:
Subrata Datta, Subrata Bose
Publikováno v:
ReTIS
Useful rule formation from frequent itemsets in a large database is a crucial task in Association Rule mining. Traditionally association rules refer to associations between two frequent sets and measured by their confidence. This approach basically c
Autor:
Kit, Wu, Marios, Politis, Sean S, O'Sullivan, Andrew D, Lawrence, Sarah, Warsi, Subrata, Bose, Andrew J, Lees, Paola, Piccini
Publikováno v:
Journal of neurology. 262(6)
Impulse control disorders (ICDs) are reported in Parkinson's disease (PD) in association with dopaminergic treatment. Approximately 25 % of patients with ICDs have multiple co-occurring ICDs (i.e. more than one diagnosed ICD). The extent to which dop
Autor:
Subrata Datta, Subrata Bose
Publikováno v:
Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT).
Determination of frequent sets from a large database is the key to Association Rule mining from the point view of efficiency of algorithms to scale up and discovering frequent sets which lead to useful association rules. Some of the existing methods
Autor:
Subrata Bose, Gunamani Jena
Publikováno v:
Computational Intelligence in Data Mining-Volume 3 ISBN: 9788132222019
Tropical cyclones propagating in the sea hit offshore objects to get diffracted around it. The highly valuable structures such as oil drilling and storage facilities, harbours islands, breakwaters, etc are planned and constructed without resorting to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c1309ea1de4e502b89c31cf33b087da
https://doi.org/10.1007/978-81-322-2202-6_54
https://doi.org/10.1007/978-81-322-2202-6_54