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Using incremental updating to maintain discovered association rules in large databases - by Wassim Ghassan Mukaddam
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| dc.contributor.author | Mukaddam, Wassim Ghassan |
| dc.date.accessioned | 2012-06-13T07:08:05Z |
| dc.date.available | 2012-06-13T07:08:05Z |
| dc.date.issued | 2004 |
| dc.identifier.uri | http://hdl.handle.net/10938/6647 |
| dc.description | Thesis (M.S.)--Dept. of Computer Science, AUB, 2004;"Advisor: Dr. Lina Al-Jadir, Assistant Professor, Computer Science.--Member of Committee: Dr. Wadi Jureidini, Senior Lecturer, Computer Science.--Member of Committee: Dr. Jihad Boulos, Assistant Professo |
| dc.description | Bibliography: leaves 133-135 |
| dc.description.abstract | Because of its wide applicability in many areas, including decision support, mar ket strategy, and financial forecast, data mining has recently attracted tremend ous attention in database research. Data mining aims at discovering interesting trends in lar |
| dc.format.extent | xiii, 135 leaves : ill. (some col.) 30 cm. |
| dc.language.iso | eng |
| dc.relation.ispartof | Theses, Dissertations, and Projects |
| dc.subject.classification | T:004453 AUBNO |
| dc.subject.lcsh | Data mining |
| dc.subject.lcsh | Computer algorithms |
| dc.title | Using incremental updating to maintain discovered association rules in large databases - by Wassim Ghassan Mukaddam |
| dc.type | Thesis |
| dc.contributor.department | American University of Beirut. Faculty of Arts and Sciences. Department of Computer Science |
