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Exploring advances in interdisciplinary data mining and analytics : new trends

Author: David Taniar; Lukman Hakim Iwan
Publisher: Hershey, PA : Information Science Reference, ©2012.
Edition/Format:   Print book : EnglishView all editions and formats
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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Document Type: Book
All Authors / Contributors: David Taniar; Lukman Hakim Iwan
ISBN: 9781613504741 1613504748 9781613504758 1613504756 9781613504765 1613504764
OCLC Number: 758244392
Notes: "Premier reference source"--Cover.
Description: xxvii, 325 pages : illustrations ; 29 cm
Contents: Investigating the properties of a social bookmarking and tagging network --
The dynamics of content popularity in social media --
Detecting trends in social bookmarking systems : A del.icio.us endeavor --
Mining frequent generalized patterns for web personalization in the presence of taxonomies --
An efficient method for discretizing continuous attributes --
Dimentionality reduction with unsuperivsed feature selection and applying non-Euclidean norms for classification accuracy --
Graph-based modelling of concurrent sequential patterns --
User-centric similarity and proximity measures for spatial personalization --
Estimating semi-parametric missing values with iterative imputation --
Exploring disease association from the NHANES data : Data mining, pattern summarization, and visual analytics --
Classification of peer-to-peer traffic using a two-stage window-based classifier with fast decision tree and IP layer attributes --
Constrained cube lattices for multidimensional database mining --
ASCCN : Arbitrary shaped clustering method with compatible nucleoids --
A new similarity metric for sequential data --
When spatial analysis meets OLAP : Multidimensional model and operators --
Combining kNN imputation and bootstrap calibrated : Empirical likelihood for incomplete data analysis.
Responsibility: [edited by] David Taniar and Lukman Hakim Iwan.

Abstract:

Provides an updated look at the state of technology in the field of data mining and analytics. As processor speeds, database size, network capabilities, artificial intelligence, and most fields of  Read more...

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