{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,3]],"date-time":"2025-05-03T23:22:53Z","timestamp":1746314573882,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2008]]},"abstract":"<jats:p>This paper provides an introduction to the field of data stream management and mining. The increase of data production in operational information systems prevents from monitoring these systems with the old paradigm of storing data before analyzing it. New approaches have been developed recently to process data &amp;lsquo;on the fly&amp;rsquo; considering they are produced in the form of structured data streams. These approaches cover both querying and mining data.<\/jats:p>","DOI":"10.3233\/978-1-58603-898-4-89","type":"book-chapter","created":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T19:11:46Z","timestamp":1739992306000},"source":"Crossref","is-referenced-by-count":1,"title":["Data stream management and mining"],"prefix":"10.3233","author":[{"family":"Hebrail Georges","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["NATO Science for Peace and Security Series - D: Information and Communication Security","Mining Massive Data Sets for Security"],"original-title":[],"deposited":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T19:19:00Z","timestamp":1739992740000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISSNISBN&issn=1874-6268&volume=19&spage=89"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-58603-898-4-89","relation":{},"ISSN":["1874-6268"],"issn-type":[{"value":"1874-6268","type":"print"}],"subject":[],"published":{"date-parts":[[2008]]}}}