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Data availability is not a major issue at present times in view of the widespread use of Internet; however, information and knowledge availability are the issues. Due to data overload and time-critical nature of information need, automatic summarization of documents plays a significant role in information retrieval and text data mining. This paper discusses(More)
—Mobile Social Network Analysis is the mapping and measuring of interactions and flows between people, groups, and organizations based on the usage of their mobile communication services. Social Network Analysis and Mining has been highly influenced by the online social web sites, telecom consumer data and instant messaging systems, and has widely analyzed(More)
In this paper, we propose a novel idea for applying probabilistic graphical models for automatic text summarization task related to a legal domain. Identification of rhetorical roles present in the sentences of a legal document is the important text mining process involved in this task. A Conditional Random Field (CRF) is applied to segment a given legal(More)
— A crime investigation is an official effort to uncover information about a crime. In recent years the number of crime cases has been on a rise. The traditional and age-old system of intelligence and criminal record maintenance has failed to live up to the requirements of the existing crime scenario. In this paper we propose a swift response system which(More)