International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 56 - Number 6 |
Year of Publication: 2012 |
Authors: Aman Raj, Pratik Singh, Debdutta Chatterjee |
10.5120/8897-2920 |
Aman Raj, Pratik Singh, Debdutta Chatterjee . Data Mining Considering the Instances of Item-Sets. International Journal of Computer Applications. 56, 6 ( October 2012), 32-37. DOI=10.5120/8897-2920
In the field of computer science, data mining is the process that attempts to discover patterns in large data sets. However it deals mostly with the relationship between two or more item objects. For example A to B, where 'A' and 'B' are the item objects. But in the real life scenario not only the relationship between item objects is important, but the relationship of their frequency of occurrence is also the matter of a prime concern. The instances of two or more data items also may be correlated with each other. For example the relation between A and 2B. Where 'A' and 'B' are the data items and '2B' represents two instances of the B type of data items. This paper provides a new approach to find the occurrence dependent data patterns by conventional approaches and also compare the some inter related concepts.