FS-Miner: efficient and incremental mining of frequent sequence patterns in web logs Export

@inproceedings{citeulike:5926663, abstract = {Mining frequent patterns is an important component of many prediction systems. One common usage in web applications is the mining of users' access behavior for the purpose of predicting and hence pre-fetching the web pages that the user is likely to visit.}, address = {New York, NY, USA}, author = {El-Sayed, Maged and Ruiz, Carolina and Rundensteiner, Elke A.}, booktitle = {Proceedings of the 6th annual ACM international workshop on Web information and data management (WIDM '04)}, citeulike-article-id = {5926663}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1031453.1031477}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1031453.1031477}, doi = {10.1145/1031453.1031477}, isbn = {1-58113-978-0}, keywords = {sequential\_pattern, web-mining}, location = {Washington DC, USA}, pages = {128--135}, posted-at = {2009-10-12 13:47:13}, priority = {2}, publisher = {ACM}, title = {FS-Miner: efficient and incremental mining of frequent sequence patterns in web logs}, url = {http://dx.doi.org/10.1145/1031453.1031477}, year = {2004} }

TY - CONF ID - citeulike:5926663 L3 - citeulike-article-id:5926663 N2 - Mining frequent patterns is an important component of many prediction systems. One common usage in web applications is the mining of users' access behavior for the purpose of predicting and hence pre-fetching the web pages that the user is likely to visit. CY - Washington DC, USA SN - 1-58113-978-0 AD - New York, NY, USA EP - 135 TI - FS-Miner: efficient and incremental mining of frequent sequence patterns in web logs PB - ACM T2 - Proceedings of the 6th annual ACM international workshop on Web information and data management (WIDM '04) SP - 128 KW - sequential_pattern KW - web-mining AU - El-Sayed, Maged AU - Ruiz, Carolina AU - Rundensteiner, Elke PY - 2004/// UR - http://dx.doi.org/10.1145/1031453.1031477 ER -