{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,21]],"date-time":"2025-12-21T07:11:25Z","timestamp":1766301085657},"reference-count":17,"publisher":"World Scientific Pub Co Pte Lt","issue":"04","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Info. Know. Mgmt."],"published-print":{"date-parts":[[2006,12]]},"abstract":"<jats:p> Various techniques have been proposed to forecast a given time series. Models from the ARIMA family have been successfully used, as well as regression approaches based on e.g. linear, non-linear regression, neural networks, and Support Vector Regression. What makes the difference in many real-world applications, however, is not the technique but an appropriate forecasting methodology. Here, we propose such a methodology for the regression-based forecasting approach. A hybrid system is presented that iteratively selects the most relevant features and constructs the regression model optimizing its parameters dynamically. We develop a particular technique for feature selection as well as for model construction. The methodology, however, is a generic one providing the opportunity to employ alternative approaches within our framework. The application to several time series underlines its usefulness. <\/jats:p>","DOI":"10.1142\/s021964920600158x","type":"journal-article","created":{"date-parts":[[2007,1,4]],"date-time":"2007-01-04T08:34:23Z","timestamp":1167899663000},"page":"329-335","source":"Crossref","is-referenced-by-count":16,"title":["A Forecasting Methodology Using Support Vector Regression and Dynamic Feature Selection"],"prefix":"10.1142","volume":"05","author":[{"given":"Jos\u00e9","family":"Guajardo","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering, University of Chile, Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Richard","family":"Weber","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, University of Chile, Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jaime","family":"Miranda","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, University Diego Portales, Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2005.06.001"},{"key":"rf2","first-page":"1229","volume":"3","author":"Bi J.","journal-title":"Journal of Machine Learning Research"},{"key":"rf3","volume-title":"Classification and Regression Trees","author":"Breiman L.","year":"1984"},{"key":"rf5","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(03)00169-2"},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2005.849836"},{"key":"rf7","author":"Demiriz A.","journal-title":"Computing Science and Statistics"},{"key":"rf8","doi-asserted-by":"publisher","DOI":"10.1016\/S1088-467X(98)00007-9"},{"key":"rf9","first-page":"1157","volume":"3","author":"Guyon I.","journal-title":"Journal of Machine Learning Research"},{"key":"rf10","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(97)00043-X"},{"key":"rf11","volume-title":"Advances in Kernel Methods: Support Vector Machine","author":"Mattera D.","year":"1999"},{"key":"rf12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1007\/11590316_24","volume":"3776","author":"Miranda J.","year":"2005"},{"key":"rf14","volume-title":"Advances in Kernel Methods: Support Vector Machine","author":"M\u00fcller K.","year":"1999"},{"key":"rf15","volume-title":"C4.5: Programs for Machine Learning","author":"Quinlan R.","year":"1993"},{"key":"rf16","first-page":"1357","volume":"2","author":"Rakotomamonjy A.","journal-title":"Journal of Machine Learning Research"},{"key":"rf18","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0"},{"key":"rf19","volume-title":"Statistical Learning Theory","author":"Vapnik V.","year":"1998"},{"key":"rf20","first-page":"1439","volume":"3","author":"Weston J.","journal-title":"JMLR"}],"container-title":["Journal of Information &amp; Knowledge Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S021964920600158X","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T23:28:43Z","timestamp":1565134123000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S021964920600158X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006,12]]},"references-count":17,"journal-issue":{"issue":"04","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2006,12]]}},"alternative-id":["10.1142\/S021964920600158X"],"URL":"https:\/\/doi.org\/10.1142\/s021964920600158x","relation":{},"ISSN":["0219-6492","1793-6926"],"issn-type":[{"value":"0219-6492","type":"print"},{"value":"1793-6926","type":"electronic"}],"subject":[],"published":{"date-parts":[[2006,12]]}}}