@article{1151032,
        title = {Tapping the power of text mining},
        address = {New York, NY, USA},
        author = {Weiguo Fan and Linda Wallace and Stephanie Rich and Zhongju Zhang},
        journal = {Commun. ACM},
        number = 9,
        pages = {76--82},
        publisher = {ACM Press},
        volume = 49,
        year = 2006,
        url = {http://portal.acm.org/citation.cfm?doid=1151030.1151032},
        issn = {0001-0782},
	doi = {http://doi.acm.org/10.1145/1151030.1151032},
	description = {Tapping the power of text mining},
	abstract = {Sifting through vast collections of unstructured or semistructured data beyond the reach of data mining tools, text mining tracks information sources, links isolated concepts in distant documents, maps relationships between activities, and helps answer questions.},
	biburl = {http://www.bibsonomy.org/bibtex/282e432fa22040536a884e565ac4b38d0/beate},
	keywords = {text-mining overview}
}

@article{643094,
        title = {Periods, capitalized words, etc.},
        address = {Cambridge, MA, USA},
        author = {Andrei Mikheev},
        journal = {Comput. Linguist.},
        number = 3,
        pages = {289--318},
        publisher = {MIT Press},
        volume = 28,
        year = 2002,
        url = {http://portal.acm.org/citation.cfm?id=643094},
        issn = {0891-2017},
	doi = {http://dx.doi.org/10.1162/089120102760275992},
	description = {Periods, capitalized words, etc.},
	biburl = {http://www.bibsonomy.org/bibtex/2e9bba0ad342e4169f8deeef970c81867/beate},
	keywords = {data-preparation text-mining stemming}
}

@inproceedings{312186,
        title = {Fast and effective text mining using linear-time document clustering},
        address = {New York, NY, USA},
        author = {Bjornar Larsen and Chinatsu Aone},
        booktitle = {KDD '99: Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining},
        pages = {16--22},
        publisher = {ACM Press},
        year = 1999,
        location = {San Diego, California, United States},
	isbn = {1-58113-143-7},
	doi = {http://doi.acm.org/10.1145/312129.312186},
	description = {Fast and effective text mining using linear-time document clustering},
	biburl = {http://www.bibsonomy.org/bibtex/2794e447495e9319dd1e9f660db509b53/beate},
	keywords = {clustering text-mining}
}