Exploring Advances in Interdisciplinary Data Mining and Analytics - 9781613504741
Un libro in lingua di David Taniar Iwan Lukman Hakim edito da Igi Global, 2011
- € 163.00
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International contributors in computer science, management, and information systems detail the latest perspectives on data mining and analytics. A preface reviews data mining techniques for spatio-temporal data. The rest of the book's 15 chapters explore topics such as investigating the properties of a social bookmarking and tagging network, the dynamics of content popularity in social media, detecting trends in social bookmarking systems, and graph-based modeling of concurrent sequential patterns. Other areas described include user-centric similarity and proximity measures for spatial personalization, estimating semi-parametric missing values with iterative imputation, constrained cube lattices for multidimensional database mining, an arbitrary shaped clustering method with compatible nucleoids, and empirical likelihood for incomplete data analysis. Taniar is affiliated with Monash University, Australia. Iwan is affiliated with RMIT University, Australia. Annotation ©2012 Book News, Inc., Portland, OR (booknews.com)
Informazioni bibliografiche
- Titolo del Libro in lingua: Exploring Advances in Interdisciplinary Data Mining and Analytics
- Sottotitolo: New Trends
- Lingua: English
- Autori : David Taniar Iwan Lukman Hakim
- Editore: Igi Global
- Collana: Igi Global (Hardcover)
- Data di Pubblicazione: 31 Dicembre '11
- Genere: COMPUTERS
- Argomenti : Data mining Web usage mining
- EAN-13: 9781613504741