Text mining is a new and exciting area of computer science research that tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. Similarly, link detection a a rapidly evolving approach to the analysis of text that shares and builds upon many of the key elements of text mining a also provides new tools for people to better leverage their burgeoning textual data resources. The Text Mining Handbook presents a comprehensive discussion of the state-of-the-art in text mining and link detection. In addition to providing an in-depth examination of core text mining and link detection algorithms and operations, the book examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection in such varied fields as MaA business intelligence, genomics research and counter-terrorism activities.Names of the 19 hijackers, and the flights they boarded were taken from the FBI site alt;http://www.fbi.gov/pressrel/pressre101/091401hj.htmagt; (see Table XI.1). 2. Prior connections ... Xl.2 AUTOMATIC LAYOUT OF NETWORKS ... These algorithms display the graphs in an aesthetic way without any user intervention. The mostanbsp;...
|Title||:||The Text Mining Handbook|
|Author||:||Ronen Feldman, James Sanger|
|Publisher||:||Cambridge University Press - 2007|