UT ML Group: Text Data Mining Export

@misc{citeulike:251433, abstract = {Text data mining concerns the application of data mining (knowledge discovery in databases, KDD) to unstructured textual data. Our work focuses on using information extraction to first extract a structured database from a corpus of natural language texts and then discovering patterns in the resulting database using traditional KDD tools. It also concerns record linkage , a form of data-cleaning that identifies equivalent but textually distinct items in the extracted data prior to mining. It is also related to our research on natural language learning.}, citeulike-article-id = {251433}, citeulike-linkout-0 = {http://www.cs.utexas.edu/users/ml/publication/text-mining.html}, howpublished = {collection of papers}, keywords = {datamining, knowledge-extraction}, posted-at = {2005-07-11 10:55:00}, priority = {2}, title = {UT ML Group: Text Data Mining}, url = {http://www.cs.utexas.edu/users/ml/publication/text-mining.html} }

TY - GEN ID - citeulike:251433 L3 - citeulike-article-id:251433 N2 - Text data mining concerns the application of data mining (knowledge discovery in databases, KDD) to unstructured textual data. Our work focuses on using information extraction to first extract a structured database from a corpus of natural language texts and then discovering patterns in the resulting database using traditional KDD tools. It also concerns record linkage , a form of data-cleaning that identifies equivalent but textually distinct items in the extracted data prior to mining. It is also related to our research on natural language learning. TI - UT ML Group: Text Data Mining KW - datamining KW - knowledge-extraction UR - http://www.cs.utexas.edu/users/ml/publication/text-mining.html ER -