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The Text Mining Handbook
Author: Ronen Feldman
language: en
Publisher: Cambridge University Press
Release Date: 2006-12-11
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 rapidly evolving approach to the analysis of text that shares and builds upon many of the key elements of text mining – 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 M&A business intelligence, genomics research and counter-terrorism activities.
100 Most Infamous Criminals
An indispensable introduction to the darker side of life, revealing the often strange and grisly stories behind the world's most infamous murderers, swindlers and crooks. 100 Most Infamous Criminals is an astounding compendium of crimes and their perpetrators. Here you will find the stories of some of history's most notorious criminals, the lives they led, the crimes they committed and the destruction and sorrow they left in their wake. This collection includes such notorious villains as: - Jack the Ripper, the man who terrorized Victorian London. - Ted Bundy, the serial killer beloved by his neighbours. - Al Capone, the king of gangsters. - Harold Shipman, Britain's angel of death.
Anastasia Syndrome
Trapped in her seventeeth-century past, a brilliant writer exacts an ancient revenge in the twentieth... A child wanders, lost and alone, in the maze of New York... A lottery ticket turns up a winning combination of love and death...