Established associative classification algorithms have shown to be very effective in handling
categorical data such as text data. The learned model is a set of rules that are easy to …

Now-a-days, World Wide Web is growing as a huge repository with high source of
voluminous and heterogeneous information which continues to expand in size and …

This study proposes a novel scheme for termset weighting based on cardinality statistics.
Specifically, termsets are evaluated by considering the number of apparent member terms …

News companies have a need to automate and make the editors process of writing about
hot and new events more effective. Current technologies involve robotic programs that fills in …

Characterizing evolving behavior of document vectors helps in identifying similarity between
text documents. As document vectors contain terms and their importances in documents …

During the process of mining frequent item sets, when minimum support is little, the
production of candidate sets is a kind of time-consuming and frequent operation in the …