Description |
1 CD-ROM (PDF file (xxiv,234 pages, illustrations)) ; 12 cm |
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4 3/4 in |
Summary |
Summary: This research aims at contributing to the multilevel modeling in data analytics. It addresses the task of multilevel clustering, multilevel regression, and classification and provides state of the art solution for the critical problem |
Notes |
Submitted to the School of Information Technology in the Faculty of Science, Engineering and Built Environment, Deakin University |
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Thesis (Ph.D.) -- Deakin University, Victoria, 2015 |
Bibliography |
Bibliography: pages 215-233 |
Subject |
Data mining.
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Regression analysis.
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Multilevel models (Statistics)
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Genre/Form |
Academic theses.
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Author |
Deakin University. Faculty of Science, Engineering and Built Environment
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Deakin University. School of Information Technology, degree granting institution
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