{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T20:36:49Z","timestamp":1725482209398},"publisher-location":"Berlin, Heidelberg","reference-count":15,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540370154"},{"type":"electronic","value":"9783540370178"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2007]]},"DOI":"10.1007\/978-3-540-37017-8_16","type":"book-chapter","created":{"date-parts":[[2007,3,7]],"date-time":"2007-03-07T21:11:25Z","timestamp":1173301885000},"page":"347-364","source":"Crossref","is-referenced-by-count":0,"title":["An Incremental Technique for Analyzing User Behaviors in an E-Business Environment"],"prefix":"10.1007","author":[{"given":"Yue-Shi","family":"Lee","sequence":"first","affiliation":[]},{"given":"Show-Jane","family":"Yen","sequence":"additional","affiliation":[]},{"given":"Min-Chi","family":"Hsieh","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"16_CR1_16","unstructured":"M. S. Chen, X. M. Huang and I. Y. Lin, \u201cCapturing User Access Patterns in the Web for Data Mining\u201d, Proceedings of the IEEE International Conference on Tools with Artificial Intelligence, pp. 345-348, 1999."},{"key":"16_CR2_16","doi-asserted-by":"crossref","unstructured":"R. Cooley, B. Mobasher, and J. Srivastava, \u201cWeb Mining: Information and Pattern Discovery on the World Wide Web\u201d, Proceedings of the IEEE International Conference on Tools with Artificial Intelligence, 1997.","DOI":"10.1109\/TAI.1997.632303"},{"issue":"2","key":"16_CR3_16","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1109\/69.683753","volume":"10","author":"MS Chen","year":"1998","unstructured":"M. S. Chen, J. S. Park and P. S. Yu, \u201cEfficient Data Mining for Path Traversal Patterns in a Web Environment\u201d, IEEE Transaction on Knowledge and Data Engineering, Vol. 10, No. 2, pp. 209-221, 1998.","journal-title":"IEEE Transaction on Knowledge and Data Engineering"},{"key":"16_CR4_16","doi-asserted-by":"crossref","unstructured":"H. Cheng, X. Yan, and J. Han, \u201cIncSpan: Incremental Mining of Sequential Patterns in Large Database\u201d, In Proceedings of 2004 International Conference on Knowledge Discovery and Data Mining (KDD'04), Seattle, WA, Aug. 2004.","DOI":"10.1145\/1014052.1014114"},{"key":"16_CR5_16","unstructured":"Yue-Shi Lee, Show-Jane Yen, Ghi-Hua Tu and Min-Chi Hsieh, \u201cWeb Usage Mining: Integrating Path Traversal Patterns and Association Rules\u201d, Proceedings of International Conference on Informatics, Cybernetics, and Systems (ICICS'2003), pp. 1464-1469, 2003."},{"key":"16_CR6_16","doi-asserted-by":"crossref","unstructured":"Yue-Shi Lee, Show-Jane Yen, Ghi-Hua Tu and Min-Chi Hsieh, \u201cMining Traveling and Purchasing Behaviors of Customers in Electronic Commerce Environment\u201d, Proceedings of IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'2004), pp. 227-230, 2004.","DOI":"10.1109\/EEE.2004.1287314"},{"key":"16_CR7_16","unstructured":"J. Pei, J. Han, B. Mortazavi-Asl, H. Pinto, Q. Chen, U. Dayal, and M.-C. Hsu, \u201cPrefixSpan: Mining sequential patterns efficiently by prefix-projected pattern growth\u201d In proceeding of 2001 International Conference on Data Engineering (ICDE\u201901), pages 215-224, Heidelberg, Germany, April 2001."},{"key":"16_CR8_16","doi-asserted-by":"crossref","unstructured":"J. Pei, J. Han, B. Mortazavi-Asl, J. Wang, H. Pinto, Q. Chen, U. Dayal, and M.-C. Hsu, \u201cMining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach\u201d, IEEE Transactions on Knowledge and Data Engineering, 16 (10), 2004.","DOI":"10.1109\/TKDE.2004.77"},{"key":"16_CR9_16","doi-asserted-by":"crossref","unstructured":"J. Pei, J. Han, B. Mortazavi-Asl and H.Zhu, \u201cMining Access Patterns Efficiently from Web Logs\u201d, Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 396-407, 2000.","DOI":"10.1007\/3-540-45571-X_47"},{"key":"16_CR10_16","doi-asserted-by":"crossref","unstructured":"Maged EL-Sayed, Carolina Ruiz, and Elke A. Rundensteiner, \u201cFS-Miner: Efficient and Incremental Mining of Frequent Sequence Patterns in Web logs\u201d, Proceedings of 6th ACM International Workshop on Web Information and Data Management (WIDM 2004), pp.128-135, 2004","DOI":"10.1145\/1031453.1031477"},{"key":"16_CR11_16","doi-asserted-by":"crossref","unstructured":"Srinivasan Parthasarathy, Mohammed J. Zaki, Mitsunori Ogihara, Sandhya Dwarkadas, \u201cIncremental and Interactive Sequence Mining\u201d, In Proceedings of 8th International Conference on Information and Knowledge Management , pp 251-258, Kansas City, MO, November 1999.","DOI":"10.1145\/319950.320010"},{"key":"16_CR12_16","doi-asserted-by":"crossref","unstructured":"J. Srivastava, et al., \u201cWeb Usage Mining: Discovery and Applications of Usage Patterns from Web Data\u201d, SIGKDD Explorations, pp. 12-23, 2000.","DOI":"10.1145\/846183.846188"},{"issue":"4","key":"16_CR13_16","doi-asserted-by":"crossref","first-page":"55","DOI":"10.4018\/jdet.2003100104","volume":"1","author":"Y Show-Jane","year":"2003","unstructured":"Show-Jane Yen, \u201cAn Efficient Approach for Analyzing User Behaviors in a Web-Based Training Environment\u201d, International Journal of Distance Education Technologies, Vol. 1, No. 4, pp.55-71, 2003.","journal-title":"International Journal of Distance Education Technologies"},{"key":"16_CR14_16","doi-asserted-by":"crossref","unstructured":"Show-Jane Yen, Yue-Shi Lee and Chung-Wen Cho, \u201cEfficient Approach for the Maintenance of Path Traversal Patterns\u201d, In Proceedings of IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE), pp. 207-214, 2004.","DOI":"10.1109\/EEE.2004.1287311"},{"key":"16_CR15_16","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1023\/A:1007652502315","volume":"40","author":"M Zaki","year":"2001","unstructured":"M. Zaki. \u201cSPADE: An efficient algorithm for mining frequent sequences\u201d, Machine Learning, 40:31-60, 2001.","journal-title":"Machine Learning"}],"container-title":["Studies in Computational Intelligence","E-Service Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-37017-8_16.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,19]],"date-time":"2020-11-19T04:39:30Z","timestamp":1605760770000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-37017-8_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007]]},"ISBN":["9783540370154","9783540370178"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-37017-8_16","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2007]]}}}