Knowledge discovery and interestingness measures: A survey

@misc{hilderman99knowledge, abstract = {Knowledge discovery in databases, also known as data mining, is the efficient discovery of previously unknown, valid, novel, potentially useful, and understandable patterns in large databases. It encompasses many different techniques and algorithms which differ in the kinds of data that can be analyzed and the form of knowledge representation used to convey the discovered knowledge. An important problem in the area of data mining is the development of effective measures of interestingness...}, author = {Hilderman, R. and Hamilton, H. }, citeulike-article-id = {1166329}, keywords = {interestingness, rule-induction}, posted-at = {2007-03-16 00:46:22}, priority = {0}, title = {Knowledge discovery and interestingness measures: A survey}, url = {http://citeseer.ist.psu.edu/hilderman99knowledge.html}, year = {1999} }

TY - GEN ID - hilderman99knowledge L3 - citeulike-article-id:1166329 TI - Knowledge discovery and interestingness measures: A survey N2 - Knowledge discovery in databases, also known as data mining, is the efficient discovery of previously unknown, valid, novel, potentially useful, and understandable patterns in large databases. It encompasses many different techniques and algorithms which differ in the kinds of data that can be analyzed and the form of knowledge representation used to convey the discovered knowledge. An important problem in the area of data mining is the development of effective measures of interestingness... KW - interestingness KW - rule-induction AU - Hilderman, R AU - Hamilton, H PY - 1999/// UR - http://citeseer.ist.psu.edu/hilderman99knowledge.html ER -