{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T18:39:10Z","timestamp":1777487950495,"version":"3.51.4"},"reference-count":25,"publisher":"Elsevier","isbn-type":[{"value":"9780127224428","type":"print"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2003]]},"DOI":"10.1016\/b978-012722442-8\/50017-3","type":"book-chapter","created":{"date-parts":[[2007,9,4]],"date-time":"2007-09-04T12:42:39Z","timestamp":1188909759000},"page":"93-104","source":"Crossref","is-referenced-by-count":73,"title":["A Regression-Based Temporal Pattern Mining Scheme for Data Streams"],"prefix":"10.1016","author":[{"given":"Wei-Guang","family":"Teng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ming-Syan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Philip S.","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/B978-012722442-8\/50017-3_bib1","series-title":"Proceedings of the 11th International Conference on Data Engineering","first-page":"3","article-title":"Mining Sequential Patterns","author":"Agrawal","year":"1995"},{"key":"10.1016\/B978-012722442-8\/50017-3_bib2","series-title":"Proceedings of the 24th International Conference on Very Large Data Bases","first-page":"606","article-title":"Mining Surprising Patterns Using Temporal Description Length","author":"Chakrabarti","year":"1998"},{"key":"10.1016\/B978-012722442-8\/50017-3_bib3","series-title":"Proceedings of the 28th International Conference on Very Large Data Bases","first-page":"203","article-title":"Streaming Queries over Streaming Data","author":"Chandrasekaran","year":"2002"},{"key":"10.1016\/B978-012722442-8\/50017-3_bib4","series-title":"Proceedings of the 28th International Conference on Very Large Data Bases","first-page":"323","article-title":"Multi-Dimensional Regression Analysis of Time-Series Data Streams","author":"Chen","year":"2002"},{"key":"10.1016\/B978-012722442-8\/50017-3_bib5","series-title":"Proceedings of the 12th International Conference on Data Engineering","first-page":"106","article-title":"Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Technique","author":"Cheung","year":"1996"},{"key":"10.1016\/B978-012722442-8\/50017-3_bib6","series-title":"Proceedings of the 4th ACM SIGKDD","first-page":"16","article-title":"Rule Discovery from Time Series","author":"Das","year":"1998"},{"key":"10.1016\/B978-012722442-8\/50017-3_bib7","series-title":"Proceedings of the 2002 Annual ACM-SIAM Symposium on Discrete Algorithms","article-title":"Maintaining Stream Statistics over Sliding Windows","author":"Datar","year":"2002"},{"key":"10.1016\/B978-012722442-8\/50017-3_bib8","series-title":"Proceedings of the 2002 ACM SIG-MOD","first-page":"61","article-title":"Processing Complex Aggregate Queries over Data Streams","author":"Dobra","year":"2002"},{"key":"10.1016\/B978-012722442-8\/50017-3_bib9","series-title":"Proceedings of the 6th ACM SIGKDD","first-page":"71","article-title":"Mining High-Speed Data Streams","author":"Domingos","year":"2000"},{"issue":"2","key":"10.1016\/B978-012722442-8\/50017-3_bib10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/507515.507517","article-title":"Mining Data Streams under Block Evolution","volume":"3","author":"Ganti","year":"2002","journal-title":"SIGKDD Explorations"},{"key":"10.1016\/B978-012722442-8\/50017-3_bib11","series-title":"Proceedings of the 2002 ACM SIGMOD","article-title":"Querying and Mining Data Streams: You Only Get One Look","author":"Garofalakis","year":"2002"},{"key":"10.1016\/B978-012722442-8\/50017-3_bib12","series-title":"Proceedings of the 2001 ACM SIGMOD","first-page":"13","article-title":"On Computing Correlated Aggregates Over Continual Data Streams","author":"Gehrke","year":"2001"},{"key":"10.1016\/B978-012722442-8\/50017-3_bib13","series-title":"Proceedings of the 41st Annual Symposium on Foundations of Computer Science","first-page":"359","article-title":"Clustering Data Streams","author":"Guha","year":"2000"},{"key":"10.1016\/B978-012722442-8\/50017-3_bib14","series-title":"Proceedings of the 7th ACM SIGKDD","first-page":"97","article-title":"Mining Time-Changing Data Streams","author":"Hulten","year":"2001"},{"key":"10.1016\/B978-012722442-8\/50017-3_bib15","series-title":"Proceedings of the 26th International Conference on Very Large Data Bases","first-page":"363","article-title":"Identifying Representative Trends in Massive Time Series Data Sets Using Sketches","author":"Indyk","year":"2000"},{"key":"10.1016\/B978-012722442-8\/50017-3_bib16","series-title":"Proceedings of the 1st IEEE International Conference on Data Mining","first-page":"289","article-title":"An Online Algorithm for Segmenting Time Series","author":"Keogh","year":"2001"},{"key":"10.1016\/B978-012722442-8\/50017-3_bib17","series-title":"Proceeding of the ACM 10th International Conference on Information and Knowledge Management","first-page":"263","article-title":"Sliding-Window Filtering: An Efficient Algorithm for Incremental Mining","author":"Lee","year":"2001"},{"key":"10.1016\/B978-012722442-8\/50017-3_bib18","series-title":"Proceedings of the 2nd SIAM International Conference on Data Mining","first-page":"403","article-title":"Causality Rules: Exploring the Relationship between Triggering and Consequential Events in a Database of Short Transactions","author":"Lee","year":"2002"},{"key":"10.1016\/B978-012722442-8\/50017-3_bib19","series-title":"Proceedings of the 1998 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery","first-page":"12:1","article-title":"Stock Movement Prediction and N-Dimensional Inter-Transaction Association Rules","author":"Lu","year":"1998"},{"key":"10.1016\/B978-012722442-8\/50017-3_bib20","series-title":"Proceedings of the 28th International Conference on Very Large Data Bases","first-page":"346","article-title":"Approximate Frequency Counts over Streaming Data","author":"Manku","year":"2002"},{"issue":"3","key":"10.1016\/B978-012722442-8\/50017-3_bib21","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1023\/A:1009748302351","article-title":"Discovery of Frequent Episodes in Event Sequences","volume":"1","author":"Mannila","year":"1997","journal-title":"Data Mining and Knowledge Discovery"},{"key":"10.1016\/B978-012722442-8\/50017-3_bib22","series-title":"Proceedings of the 18th International Conference on Data Engineering","article-title":"High-Performance Clustering of Streams and Large Data Sets","author":"O'Callaghan","year":"2002"},{"key":"10.1016\/B978-012722442-8\/50017-3_bib23","series-title":"Proceedings of the 2002 ACM SIGMOD","first-page":"406","article-title":"Mining Long Sequential Patterns in a Noisy Environment","author":"Yang","year":"2002"},{"key":"10.1016\/B978-012722442-8\/50017-3_bib24","series-title":"Proceedings of the 3rd ACM SIGKDD","first-page":"283","article-title":"New Algorithms for Fast Discovery of Association Rules","author":"Zaki","year":"1997"},{"key":"10.1016\/B978-012722442-8\/50017-3_bib25","series-title":"Proceedings of the 8th International Conference on Extending Database Technology","first-page":"646","article-title":"Temporal Aggregation over Data Streams Using Multiple Granularities","author":"Zhang","year":"2002"}],"container-title":["Proceedings 2003 VLDB Conference"],"original-title":[],"language":"en","deposited":{"date-parts":[[2019,1,4]],"date-time":"2019-01-04T21:22:04Z","timestamp":1546636924000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/B9780127224428500173"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003]]},"ISBN":["9780127224428"],"references-count":25,"URL":"https:\/\/doi.org\/10.1016\/b978-012722442-8\/50017-3","relation":{},"subject":[],"published":{"date-parts":[[2003]]}}}