Novel and Efficient Hybrid Strategies for Constraining the Search Space in Frequent Itemset Mining Export

@incollection{citeulike:5094542, abstract = {Association rule mining was originally applied in market basket analysis which aims at understanding the behaviour and shopping preferences of retail customers. The knowledge is used in product placement, marketing campaigns, and sales promotions. In addition to the retail sector, the market basket analysis framework is also being extended to the health and other service sectors. The application of association rule mining now extends far beyond market basket analysis and includes detection of network intrusions, attacks from Web server logs, and prediciting user traversal patterns on the Web.}, author = {Kalpana, B. and Nadarajan, R.}, citeulike-article-id = {5094542}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-0-387-74935-8_21}, citeulike-linkout-1 = {http://www.springerlink.com/content/k86p2336m5326437}, doi = {10.1007/978-0-387-74935-8_21}, journal = {Trends in Intelligent Systems and Computer Engineering}, keywords = {association\_rule}, pages = {285--296}, posted-at = {2009-07-09 02:44:43}, priority = {2}, title = {Novel and Efficient Hybrid Strategies for Constraining the Search Space in Frequent Itemset Mining}, url = {http://dx.doi.org/10.1007/978-0-387-74935-8_21}, year = {2008} }

TY - CHAP ID - citeulike:5094542 L3 - citeulike-article-id:5094542 N2 - Association rule mining was originally applied in market basket analysis which aims at understanding the behaviour and shopping preferences of retail customers. The knowledge is used in product placement, marketing campaigns, and sales promotions. In addition to the retail sector, the market basket analysis framework is also being extended to the health and other service sectors. The application of association rule mining now extends far beyond market basket analysis and includes detection of network intrusions, attacks from Web server logs, and prediciting user traversal patterns on the Web. JF - Trends in Intelligent Systems and Computer Engineering EP - 296 TI - Novel and Efficient Hybrid Strategies for Constraining the Search Space in Frequent Itemset Mining SP - 285 KW - association_rule AU - Kalpana, B AU - Nadarajan, R PY - 2008/// UR - http://dx.doi.org/10.1007/978-0-387-74935-8_21 ER -