{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T03:24:56Z","timestamp":1725506696243},"publisher-location":"Berlin, Heidelberg","reference-count":10,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540782391"},{"type":"electronic","value":"9783540782469"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2008]]},"DOI":"10.1007\/978-3-540-78246-9_30","type":"book-chapter","created":{"date-parts":[[2008,4,12]],"date-time":"2008-04-12T15:51:49Z","timestamp":1208015509000},"page":"253-260","source":"Crossref","is-referenced-by-count":0,"title":["FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns"],"prefix":"10.1007","author":[{"given":"Steffen","family":"Kempe","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jochen","family":"Hipp","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rudolf","family":"Kruse","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"doi-asserted-by":"crossref","unstructured":"AGRAWAL, R., IMIELINSKI, T. and SWAMI, A. (1993): Mining association rules between sets of items in large databases. In: Proc. of the ACM SIGMOD Int. Conf. on Management of Data (ACM SIGMOD \u201993). 207-216.","key":"30_CR1_30","DOI":"10.1145\/170035.170072"},{"doi-asserted-by":"crossref","unstructured":"AGRAWAL, R. and SRIKANT, R. (1995): Mining sequential patterns. In: Proc. of the 11th Int. Conf. on Data Engineering (ICDE \u201995). 3-14.","key":"30_CR2_30","DOI":"10.1109\/ICDE.1995.380415"},{"issue":"11","key":"30_CR3_30","doi-asserted-by":"publisher","first-page":"832","DOI":"10.1145\/182.358434","volume":"26","author":"JF ALLEN","year":"1983","unstructured":"ALLEN, J. F. (1983): Maintaining knowledge about temporal intervals. Commun. ACM, 26(11):832-843.","journal-title":"Commun. ACM"},{"issue":"3","key":"30_CR4_30","doi-asserted-by":"crossref","first-page":"237","DOI":"10.3233\/IDA-2002-6304","volume":"6","author":"F H\u00d6PPNER","year":"2002","unstructured":"H\u00d6PPNER, F. and KLAWONN, F. (2002): Finding informative rules in interval sequences. Intelligent Data Analysis, 6(3):237-255.","journal-title":"Intelligent Data Analysis"},{"doi-asserted-by":"crossref","unstructured":"KAM, P.-S. and FU, A. W.-C. (2000): Discovering Temporal Patterns for Interval-Based Events. In: Data Warehousing and Knowledge Discovery, 2nd Int. Conf., DaWaK 2000. Springer, 317-326.","key":"30_CR5_30","DOI":"10.1007\/3-540-44466-1_32"},{"key":"30_CR6_30","first-page":"569","volume-title":"10th Europ. Conf","author":"S KEMPE","year":"2006","unstructured":"KEMPE, S. and HIPP, J. (2006): Mining Sequences of Temporal Intervals. In: 10th Europ. Conf. on Principles and Practice of Knowledge Discovery in Databases Springer, Berlin-Heidelberg, 569-576."},{"issue":"3","key":"30_CR7_30","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1023\/A:1009748302351","volume":"1","author":"H MANNILA","year":"1997","unstructured":"MANNILA, H., TOIVONNEN, H. and VERKAMO, I. (1997): Discovery of frequent episodes in event sequences. Data Mining and Knowl. Discovery, 1(3):259-289.","journal-title":"Data Mining and Knowl. Discovery"},{"doi-asserted-by":"crossref","unstructured":"PAPAPETROU, P., KOLLIOS, G., SCLAROFF, S. and GUNOPULOS, D. (2005): Discover-ing frequent arrangements of temporal intervals. In: 5th IEEE Int. Conf. on Data Mining (ICDM \u201905). 354-361.","key":"30_CR8_30","DOI":"10.1109\/ICDM.2005.50"},{"unstructured":"PEI, J., HAN, J., MORTAZAVI, B., PINTO, H., CHEN, Q., DAYAL, U. and HSU, M. (2001): Prefixspan: Mining sequential patterns by prefix-projected growth. In: Proc. of the 17th Int. Conf. on Data Engineering (ICDE \u201901). 215-224.","key":"30_CR9_30"},{"key":"30_CR10_30","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1007\/11546849_31","volume-title":"Data Warehousing and Knowledge Discovery, 7th Int. Conf., DaWaK 2005","author":"E WINARKO","year":"2005","unstructured":"WINARKO, E. and RODDICK, J. F. (2005): Discovering Richer Temporal Association Rules from Interval-Based Data. In: Data Warehousing and Knowledge Discovery, 7th Int. Conf., DaWaK 2005. Springer, Berlin-Heidelberg, 315-325."}],"container-title":["Studies in Classification, Data Analysis, and Knowledge Organization","Data Analysis, Machine Learning and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-78246-9_30.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T11:02:00Z","timestamp":1619521320000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-78246-9_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008]]},"ISBN":["9783540782391","9783540782469"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-78246-9_30","relation":{},"ISSN":["1431-8814"],"issn-type":[{"type":"print","value":"1431-8814"}],"subject":[],"published":{"date-parts":[[2008]]}}}