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Intelligent Data Mining

Intelligent Data Mining
Author: Da Ruan
Publisher: Springer Science & Business Media
Total Pages: 536
Release: 2005-08-24
Genre: Mathematics
ISBN: 9783540262565

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"Intelligent Data Mining – Techniques and Applications" is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications in economic and management, industrial engineering and other related industrial applications. The main objective of this book is to gather a number of peer-reviewed high quality contributions in the relevant topic areas. The focus is especially on those chapters that provide theoretical/analytical solutions to the problems of real interest in intelligent techniques possibly combined with other traditional tools, for data mining and the corresponding applications to engineers and managers of different industrial sectors. Academic and applied researchers and research students working on data mining can also directly benefit from this book.


Intelligent Data Mining and Fusion Systems in Agriculture

Intelligent Data Mining and Fusion Systems in Agriculture
Author: Xanthoula Eirini Pantazi
Publisher: Academic Press
Total Pages: 330
Release: 2019-10-08
Genre: Business & Economics
ISBN: 0128143924

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Intelligent Data Mining and Fusion Systems in Agriculture presents methods of computational intelligence and data fusion that have applications in agriculture for the non-destructive testing of agricultural products and crop condition monitoring. Sections cover the combination of sensors with artificial intelligence architectures in precision agriculture, including algorithms, bio-inspired hierarchical neural maps, and novelty detection algorithms capable of detecting sudden changes in different conditions. This book offers advanced students and entry-level professionals in agricultural science and engineering, geography and geoinformation science an in-depth overview of the connection between decision-making in agricultural operations and the decision support features offered by advanced computational intelligence algorithms. Covers crop protection, automation in agriculture, artificial intelligence in agriculture, sensing and Internet of Things (IoTs) in agriculture Addresses AI use in weed management, disease detection, yield prediction and crop production Utilizes case studies to provide real-world insights and direction


Intelligent Data Mining

Intelligent Data Mining
Author: Da Ruan
Publisher: Springer
Total Pages: 518
Release: 2009-09-02
Genre: Mathematics
ISBN: 9783540812043

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"Intelligent Data Mining – Techniques and Applications" is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications in economic and management, industrial engineering and other related industrial applications. The main objective of this book is to gather a number of peer-reviewed high quality contributions in the relevant topic areas. The focus is especially on those chapters that provide theoretical/analytical solutions to the problems of real interest in intelligent techniques possibly combined with other traditional tools, for data mining and the corresponding applications to engineers and managers of different industrial sectors. Academic and applied researchers and research students working on data mining can also directly benefit from this book.


Intelligent Data Warehousing

Intelligent Data Warehousing
Author: Zhengxin Chen
Publisher: CRC Press
Total Pages: 259
Release: 2001-12-13
Genre: Computers
ISBN: 1420040618

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Effective decision support systems (DSS) are quickly becoming key to businesses gaining a competitive advantage, and the effectiveness of these systems depends on the ability to construct, maintain, and extract information from data warehouses. While many still perceive data warehousing as a subdiscipline of management information systems (MIS), in


Intelligent Data Analysis

Intelligent Data Analysis
Author: Deepak Gupta
Publisher: John Wiley & Sons
Total Pages: 428
Release: 2020-07-13
Genre: Technology & Engineering
ISBN: 1119544459

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This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension, and emphasis will also be given to solving of problems which result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and so on. This book aims to describe the different approaches of Intelligent Data Analysis from a practical point of view: solving common life problems with data analysis tools.


Computational Intelligent Data Analysis for Sustainable Development

Computational Intelligent Data Analysis for Sustainable Development
Author: Ting Yu
Publisher: CRC Press
Total Pages: 443
Release: 2016-04-19
Genre: Business & Economics
ISBN: 1439895953

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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. Computational Intelligent Data Analysis for Sustainable Development present


Artificial Intelligence in Data Mining

Artificial Intelligence in Data Mining
Author: D. Binu
Publisher: Academic Press
Total Pages: 270
Release: 2021-02-17
Genre: Science
ISBN: 0128206160

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Artificial Intelligence in Data Mining: Theories and Applications offers a comprehensive introduction to data mining theories, relevant AI techniques, and their many real-world applications. This book is written by experienced engineers for engineers, biomedical engineers, and researchers in neural networks, as well as computer scientists with an interest in the area. Provides coverage of the fundamentals of Artificial Intelligence as applied to data mining, including computational intelligence and unsupervised learning methods for data clustering Presents coverage of key topics such as heuristic methods for data clustering, deep learning methods for data classification, and neural networks Includes case studies and real-world applications of AI techniques in data mining, for improved outcomes in clinical diagnosis, satellite data extraction, agriculture, security and defense


Data Mining for Intelligence, Fraud & Criminal Detection

Data Mining for Intelligence, Fraud & Criminal Detection
Author: Christopher Westphal
Publisher: CRC Press
Total Pages: 450
Release: 2008-12-22
Genre: Computers
ISBN: 1420067249

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In 2004, the Government Accountability Office provided a report detailing approximately 200 government-based data-mining projects. While there is comfort in knowing that there are many effective systems, that comfort isn‘t worth much unless we can determine that these systems are being effectively and responsibly employed.Written by one of the most


Intelligent Agents for Data Mining and Information Retrieval

Intelligent Agents for Data Mining and Information Retrieval
Author: Masoud Mohammadian
Publisher: IGI Global
Total Pages: 327
Release: 2004-01-01
Genre: Computers
ISBN: 1591401941

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There is a large increase in the amount of information available on World Wide Web and also in number of online databases. This information abundance increases the complexity of locating relevant information. Such a complexity drives the need for improved and intelligent systems for search and information retrieval. Intelligent agents are currently used to improve the search and retrieval information on World Wide Web. The use of existing search and retrieval engines with the addition of intelligent agents allows a more comprehensive search with a performance that can be measured. Intelligent Agents for Data Mining and Information Retrieval discusses the foundation as well as the practical side of intelligent agents and their theory and applications for web data mining and information retrieval. The book can used for researchers at the undergraduate and post-graduate levels as well as a reference of the state-of-art for cutting edge researchers.


Intelligent Data Analysis

Intelligent Data Analysis
Author: Michael R. Berthold
Publisher: Springer
Total Pages: 515
Release: 2007-06-07
Genre: Computers
ISBN: 3540486259

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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. The following chapters concentrate on machine learning and artificial intelligence, rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a chapter on visualization and an advanced overview of IDA processes.