Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Animesh Adhikari"'
Publikováno v:
Journal of Intelligent Systems, Vol 26, Iss 1, Pp 23-34 (2017)
Knowledge discovery in multiple databases offers many opportunities and challenges. We have given a number of motivating points on knowledge discovery in multiple databases. In view of further studies on this aspect, we highlight some domains that ge
Autor:
Animesh Adhikari
Publikováno v:
Intelligent Decision Technologies. 9:91-95
Autor:
Animesh Adhikari
Publikováno v:
JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES. 8:1185-1196
Autor:
Animesh Adhikari
Publikováno v:
Information Sciences. 237:221-241
Frequent items could be considered as a basic type of patterns in a database. In the context of multiple data sources, most of the global patterns are based on local frequency items. A multi-branch company transacting from different branches often ne
Autor:
Animesh Adhikari
Publikováno v:
International Journal of Knowledge-Based Organizations. 3:56-75
Frequent itemsets determine the major characteristics of a transactional database. It is important to mine arbitrary Boolean queries induced by frequent itemsets. In this paper, the author proposes a simple and elegant framework for synthesizing arbi
Autor:
Animesh Adhikari, Jhimli Adhikari
This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on da
Publikováno v:
International Journal of Engineering & Technology. 7:427
Now a days the multimedia social networks plays major role in our daily life. All the earlier MSNs are validated and developed very well. The past decade has witnessed the emergence and progress of multimedia social networks (MSNs), which have explos
Publikováno v:
Knowledge and Information Systems. 27:23-43
Many large organizations have multiple large databases as they transact from multiple branches. Many important decisions are based on a set of specific items called the select items. Thus, the analysis of select items in multiple databases is an impo
Autor:
P. R. Rao, Animesh Adhikari
Publikováno v:
Data & Knowledge Engineering. 67:430-443
Measuring association among variables is an important step for finding solutions to many data mining problems. An existing metric might not be effective to serve as a measure of association among a set of items in a database. In this paper, we propos
Autor:
Animesh Adhikari, P. R. Rao
Publikováno v:
Pattern Recognition Letters. 29:1515-1523
Though frequent itemsets and association rules express interesting association among items of frequently occurring itemsets in a database, there may exist other types of interesting associations among the items. A critical analysis of frequent itemse