TY  - GEN
AU  - Taniar,David
AU  - Iwan,Lukman Hakim
TI  - Exploring advances in interdisciplinary data mining and analytics : : new trends 
SN  - 9781613504741
U1  - 006.312 23
PY  - 2012///
CY  - Hershey, PA
PB  - Information Science Reference
KW  - Data mining.
KW  - Web usage mining
N1  - Includes bibliographical references and index; 1. Investigating the properties of a social bookmarking and tagging network --
2. The dynamics of content popularity in social media --
3. Detecting trends in social bookmarking systems : A del.icio.us endeavor --
4. Mining frequent generalized patterns for web personalization in the presence of taxonomies --
5. An efficient method for discretizing continuous attributes --
6. Dimentionality reduction with unsuperivsed feature selection and applying non-Euclidean norms for classification accuracy --
7. Graph-based modelling of concurrent sequential patterns --
8. User-centric similarity and proximity measures for spatial personalization --
9. Estimating semi-parametric missing values with iterative imputation --
10. Exploring disease association from the NHANES data : Data mining, pattern summarization, and visual analytics --
11. Classification of peer-to-peer traffic using a two-stage window-based classifier with fast decision tree and IP layer attributes --
12. Constrained cube lattices for multidimensional database mining --
13. ASCCN : Arbitrary shaped clustering method with compatible nucleoids --
14. A new similarity metric for sequential data --
15. When spatial analysis meets OLAP : Multidimensional model and operators --
16. Combining kNN imputation and bootstrap calibrated : Empirical likelihood for incomplete data analysis --
Compilation of references --
About the contributors --
Index

N2  - This book is an updated look at the state of technology in the field of data mining and analytics offering the latest technological, analytical, ethical, and commercial perspectives on topics in data mining
ER  -