The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured DataCambridge University Press, 11 ¸.¤. 2006 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. |
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Abdulaziz Alomari ACM International Conference ACM Press Ahmed Alghamdi algorithm Alhamzi Alshehri analysis anaphor association rule background knowledge browser browsing circle graph classifier ClearForest clustering Computational Linguistics concept sets Conference on Research constraints context coreference Data Mining Databases defined distribution document collection domain elements entities example Fayez Ahmed Feldman Figure filtering fisheye frequent sets function Hamza Alghamdi Hani Hanjour hierarchy Hirsh Industry Analyzer information extraction Information Retrieval instance interaction interface Khalid Al-Midhar Kloesgen knowledge discovery labeled lexicon Machine Learning Majed Moqed Marwan Al-Shehhi Mohamed Atta Morgan Kaufmann Publishers ngram nodes noun phrase ontology Parsing Patent Researcher preprocessing operations problem Proceedings query relationships representation Saeed Alghamdi Section semantic sentence sequence simple concept graphs Springer-Verlag structure subset tagging task techniques Text Categorization text mining applications text mining systems token topics trend types vector vertex vertices visualization tools