商品簡介
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 c2012 Book News, Inc., Portland, OR (booknews.com)
