{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,19]],"date-time":"2025-01-19T21:40:21Z","timestamp":1737322821684,"version":"3.33.0"},"publisher-location":"Berlin, Heidelberg","reference-count":11,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540140405"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/3-540-39205-x_86","type":"book-chapter","created":{"date-parts":[[2007,7,21]],"date-time":"2007-07-21T18:23:13Z","timestamp":1185042193000},"page":"515-523","source":"Crossref","is-referenced-by-count":0,"title":["Maximum Item First Pattern Growth for Mining Frequent Patterns"],"prefix":"10.1007","author":[{"given":"Hongjian","family":"Fan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ming","family":"Fan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bingzheng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"86_CR1","doi-asserted-by":"crossref","unstructured":"Ramesh C. Agarwa, Charu C. Aggarwal, and V. V. V. Prasad. A tree projection algorithm for generation of frequent item sets. Journal of Parallel and Distributed Computing, 61(3), 2001.","DOI":"10.1006\/jpdc.2000.1693"},{"key":"86_CR2","doi-asserted-by":"crossref","unstructured":"R. Agrawal, J. Gehrke, D. Gunopulos, and P. Raghavan. Automatic subspace clustering of high dimensional data for data mining applications. In Proc. ACM-SIGMOD\u201998, pages 94\u2013105, Seattle, WA, USA, June 1998.","DOI":"10.1145\/276304.276314"},{"key":"86_CR3","unstructured":"R. Agrawal and R. Srikant. Fast algorithms for mining association rules. In Proc. VLDB\u201994, pages 487\u2013499, Santiago, Chile, Sept 1994."},{"key":"86_CR4","doi-asserted-by":"crossref","unstructured":"R. Agrawal and R. Srikant. Mining sequential patterns. In Proc. ICDE\u201995, Taipei.","DOI":"10.1109\/ICDE.1995.380415"},{"key":"86_CR5","doi-asserted-by":"crossref","unstructured":"R.J. Bayardo. Efficiently mining long patterns from databases. In Proc. ACMSIGMOD\u201998, pages 85\u201393, Seattle, WA, USA, June 1998.","DOI":"10.1145\/276304.276313"},{"key":"86_CR6","doi-asserted-by":"crossref","unstructured":"S. Brin, R. Motwani, and C. Silverstein. Beyond market baskets: Generalizing association rules to correlations. Data Mining and Knowledge Discovery, 2, 1998.","DOI":"10.1145\/253262.253327"},{"key":"86_CR7","doi-asserted-by":"crossref","unstructured":"G. Dong and J. Li. Efficient mining of emerging patterns: Discovering trends and differences. In Proc. KDD\u201999, pages 43\u201352, San Diego, CA, USA, Aug 1999.","DOI":"10.1145\/312129.312191"},{"key":"86_CR8","doi-asserted-by":"crossref","unstructured":"H. Fan and K. Ramamohanarao. An efficient single-scan algorithm for mining essential jumping emerging patterns for classification. In Proc. PAKDD\u201902, Taipei.","DOI":"10.1007\/3-540-47887-6_45"},{"key":"86_CR9","doi-asserted-by":"crossref","unstructured":"J. Han, G. Dong, and Y. Yin. Efficient mining of partial periodic patterns in time series database. In Proc. ICDE\u201999, pages 106\u2013115, Sydney, Australia, 1999.","DOI":"10.1109\/ICDE.1999.754913"},{"key":"86_CR10","doi-asserted-by":"crossref","unstructured":"J. Han, J. Pei, and Y. Yin. Mining frequent patterns without candidate generation. In Proc. SIGMOD\u201900), pages 1\u201312, Dallas, TX, USA, May 2000.","DOI":"10.1145\/342009.335372"},{"key":"86_CR11","unstructured":"J. Pei, J. Han, H. Lu, S. Nishio, S. Tang, and D. Yang. H-mine: Hyper-structure mining of frequent patterns in large databases. In Proc. ICDM\u201901, San Jose, CA."}],"container-title":["Lecture Notes in Computer Science","Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-39205-X_86.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,19]],"date-time":"2025-01-19T21:23:36Z","timestamp":1737321816000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-39205-X_86"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540140405"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/3-540-39205-x_86","relation":{},"subject":[]}}