Abstract Background/Objective: Unsupervised learning of text documents is an essential and
significant process of knowledge discovery and data mining. The concept, context and …

Objectives: This paper aims at clustering documents using a new similarity measure based
on energy of a bipartite graph. Methods/Statistical Analysis: We have made use of bipartite …

Background: An application get a global reach only if it is web based. Such types of
applications are found existing in large. Storing and retrieval of information is always …

The researchers of the data mining domain presume that the study of traditional clustering
techniques is saturating day by day. But, a deep insight into those techniques unfolds many …

Personal identity documents play a major role in every citizen's life and the authorities
responsible for validating them typically require human intervention to manually crosscheck …

The purpose of this thesis is to analyze different document representation models for
identifying similar job advertisements to improve the quality of job recommendations on …