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Library,Documentation and Information Science Division

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Exploring advances in interdisciplinary data mining and analytics : new trends / David Taniar and Lukman Hakim Iwan.

By: Contributor(s): Publication details: Hershey, PA : Information Science Reference, c2012.Description: xxvii, 325 p. : illustrations ; 29 cmISBN:
  • 9781613504741
Subject(s): DDC classification:
  • 006.312 23 T164
Contents:
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.
Summary: 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.
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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.

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.

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