Intelligent Data Analysis

Data Analytics: Models and Algorithms for Intelligent Data Analysis, Second Edition  eBooks & eLearning

Posted by Underaglassmoon at Aug. 1, 2016
Data Analytics: Models and Algorithms for Intelligent Data Analysis, Second Edition

Data Analytics: Models and Algorithms for Intelligent Data Analysis, Second Edition
Springer Vieweg | Computer Science | August 27, 2016 | ISBN-10: 3658140747 | 150 pages | pdf | 4.85 mb

Authors: Runkler, Thomas A.
A comprehensive introduction
Intelligent Data Analysis: An Introduction by Michael R. Berthold [Repost]

Intelligent Data Analysis: An Introduction by Michael R. Berthold
English | 7 Nov. 2006 | ISBN: 3540430601 | 515 Pages | PDF | 6 MB

This second and revised edition contains a detailed introduction to the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues.
Advances in Intelligent Data Analysis X: 10th International Symposium

Advances in Intelligent Data Analysis X: 10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011, Proceedings (Lecture Notes in … Applications, incl. Internet/Web, and HCI) by João Gama
Springer; 2011 edition | October 21, 2011 | English | ISBN: 3642247997 | 425 pages | PDF | 17 MB

This book constitutes the refereed proceedings of the 10th International Conference on Intelligent Data Analysis, IDA 2011, held in Porto, Portugal, in October 2011. The 19 revised full papers and 16 revised poster papers resented together with 3 invited papers were carefully reviewed and selected from 73 submissions. All current aspects of intelligent data analysis are addressed, particularly intelligent support for modeling and analyzing complex, dynamical systems. The papers offer intelligent support for understanding evolving scientific and social systems including data collection and acquisition, such as crowd sourcing; data cleaning, semantics and markup; searching for data and assembling datasets from multiple sources; data processing, including workflows, mixed-initiative data analysis, and planning; data and information fusion; incremental, mixed-initiative model development, testing and revision; and visualization and dissemination of results; etc.
Data Analytics: Models and Algorithms for Intelligent Data Analysis (repost)

Data Analytics: Models and Algorithms for Intelligent Data Analysis by Thomas A. Runkler
English | 2012 | ISBN-10: 3834825883 | PDF | 147 pages | 2,5 MB

This book is a comprehensive introduction to the methods and algorithms and approaches of modern data analytics. It covers data preprocessing, visualization, correlation, regression, forecasting, classification, and clustering.

Intelligent Data Analysis by Hsiao-fan Wang[Repost]  

Posted by tanas.olesya at Sept. 27, 2014
Intelligent Data Analysis by Hsiao-fan Wang[Repost]

Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery (Premier Reference Source) by Hsiao-fan Wang
IGI Global | July 2, 2008 | English | ISBN: 1599049821 | 366 pages | PDF | 13 MB

Pattern Recognition has a long history of applications to data analysis in business, military and social economic activities. While the aim of pattern recognition is to discover the pattern of a data set, the size of the data set is closely related to the methodology one adopts for analysis. Intelligent Data Analysis…
The 3rd International Workshop on Intelligent Data Analysis and Management (repost)

The 3rd International Workshop on Intelligent Data Analysis and Management by Lorna Uden, Leon S.L. Wang, Tzung-Pei Hong and Hsin-Chang Yang
English | ISBN: 9400772920 | 2013 | PDF | 133 pages | 4,1 MB

These papers on Intelligent Data Analysis and Management (IDAM) examine issues related to the research and applications of Artificial Intelligence techniques in data analysis and management across a variety of disciplines. The papers derive from the 2013 IDAM conference in Kaohsiung ,Taiwan.
Data Analytics: Models and Algorithms for Intelligent Data Analysis (Repost)

Thomas A. Runkler, "Data Analytics: Models and Algorithms for Intelligent Data Analysis"
English | 2012 | ISBN-10: 3834825883 | PDF | 147 pages | 3 MB
Computational Intelligent Data Analysis for Sustainable Development

Computational Intelligent Data Analysis for Sustainable Development by Ting Yu, Nitesh Chawla and Simeon Simoff
English | 2013 | ISBN: 1439895945 | ISBN-13: 9781439895948 | 440 pages | PDF | 15,5 MB

Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic, environmental, and social data.
The 3rd International Workshop on Intelligent Data Analysis and Management

Lorna Uden, "The 3rd International Workshop on Intelligent Data Analysis and Management "
ISBN: 9400772920 | 2013 | PDF | 133 pages | 4.1 MB
Operational Risk Management: A Practical Approach to Intelligent Data Analysis

Operational Risk Management: A Practical Approach to Intelligent Data Analysis (Statistics in Practice) by Ron Kenett and Yossi Raanan
English | 2010 | ISBN: 047074748X | ISBN-13: 9780470747483 | 324 pages | PDF | 2,8 MB

Models and methods for operational risks assessment and mitigation are gaining importance in financial institutions, healthcare organizations, industry, businesses and organisations in general. This book introduces modern Operational Risk Management and describes how various data sources of different types, both numeric and semantic sources such as text can be integrated and analyzed.