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Advances in Intelligent Data Analysis, David J Hand; Joost N. Kok; Michael R. Berthold


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Автор: David J Hand; Joost N. Kok; Michael R. Berthold
Название:  Advances in Intelligent Data Analysis
ISBN: 9783540663324
Издательство: Springer
Классификация:

ISBN-10: 3540663320
Обложка/Формат: Paperback
Страницы: 544
Вес: 0.77 кг.
Дата издания: 28.07.1999
Серия: Lecture Notes in Computer Science
Язык: English
Размер: 234 x 156 x 29
Основная тема: Computer Science
Подзаголовок: Third International Symposium, IDA-99 Amsterdam, The Netherlands, August 9-11, 1999 Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This text address all current aspects of intelligent data analysis, including sections on learning, visualization, classification and clustering, integration, applications and media mining.


Advances in Intelligent Data Analysis XIV

Автор: Elisa Fromont; Tijl De Bie; Matthijs van Leeuwen
Название: Advances in Intelligent Data Analysis XIV
ISBN: 3319244647 ISBN-13(EAN): 9783319244648
Издательство: Springer
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Цена: 8944.00 р.
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Описание: To facilitate this, IDA 2015 will feature two tracks: a regular "Proceedings" track, as well as a "Horizon" track for early-stage research of potentially ground-breaking nature.

Intelligent Data Analysis and Applications

Автор: Pan
Название: Intelligent Data Analysis and Applications
ISBN: 3319484982 ISBN-13(EAN): 9783319484983
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This book gathers papers presented at the ECC 2016, the Third Euro-China Conference on Intelligent Data Analysis and Applications, which was held in Fuzhou City, China from November 7 to 9, 2016. The aim of the ECC is to provide an internationally respected forum for scientific research in the broad areas of intelligent data analysis, computational intelligence, signal processing, and all associated applications of artificial intelligence (AI).The third installment of the ECC was jointly organized by Fujian University of Technology, China, and VSB-Technical University of Ostrava, Czech Republic. The conference was co-sponsored by Taiwan Association for Web Intelligence Consortium, and Immersion Co., Ltd.

Advances in Data Analysis with Computational Intelligence Methods

Автор: Adam E Gaw?da; Janusz Kacprzyk; Leszek Rutkowski;
Название: Advances in Data Analysis with Computational Intelligence Methods
ISBN: 3319679457 ISBN-13(EAN): 9783319679457
Издательство: Springer
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Цена: 20962.00 р.
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Описание:

This book is a tribute to Professor Jacek Żurada, who is best known for his contributions to computational intelligence and knowledge-based neurocomputing. It is dedicated to Professor Jacek Żurada, Full Professor at the Computational Intelligence Laboratory, Department of Electrical and Computer Engineering, J.B. Speed School of Engineering, University of Louisville, Kentucky, USA, as a token of appreciation for his scientific and scholarly achievements, and for his longstanding service to many communities, notably the computational intelligence community, in particular neural networks, machine learning, data analyses and data mining, but also the fuzzy logic and evolutionary computation communities, to name but a few.

At the same time, the book recognizes and honors Professor Żurada's dedication and service to many scientific, scholarly and professional societies, especially the IEEE (Institute of Electrical and Electronics Engineers), the world's largest professional technical professional organization dedicated to advancing science and technology in a broad spectrum of areas and fields.

The volume is divided into five major parts, the first of which addresses theoretic, algorithmic and implementation problems related to the intelligent use of data in the sense of how to derive practically useful information and knowledge from data. In turn, Part 2 is devoted to various aspects of neural networks and connectionist systems. Part 3 deals with essential tools and techniques for intelligent technologies in systems modeling and Part 4 focuses on intelligent technologies in decision-making, optimization and control, while Part 5 explores the applications of intelligent technologies.


Advances in Face Detection and Facial Image Analysis

Автор: Michal Kawulok; Emre Celebi; Bogdan Smolka
Название: Advances in Face Detection and Facial Image Analysis
ISBN: 3319259563 ISBN-13(EAN): 9783319259567
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Topicsof interest include face and facial landmark detection, face recognition, facialexpression and emotion analysis, facial dynamics analysis, face classification,identification, and clustering, and gaze direction and head pose estimation, aswell as applications of face analysis.

Advances in Principal Component Analysis

Автор: Ganesh R. Naik
Название: Advances in Principal Component Analysis
ISBN: 9811067031 ISBN-13(EAN): 9789811067037
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book reports on the latest advances in concepts and further developments of principal component analysis (PCA), addressing a number of open problems related to dimensional reduction techniques and their extensions in detail.

Causal Models and Intelligent Data Management

Автор: Alex Gammerman
Название: Causal Models and Intelligent Data Management
ISBN: 3540663282 ISBN-13(EAN): 9783540663287
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Presents intelligent data management methods and tools, such as the support vector machine, and results from the field of inference, in particular of causal modeling. In 11 well-structured chapters, leading experts map out the major tendencies and directions of intelligent data analysis.

Intelligent Science and Intelligent Data Engineering

Автор: Jian Yang; Fang Fang; Changyin Sun
Название: Intelligent Science and Intelligent Data Engineering
ISBN: 3642366686 ISBN-13(EAN): 9783642366680
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the proceedings of the third Sino-foreign-interchange Workshop on Intelligence Science and Intelligent Data Engineering, IScIDE 2012, held in Nanjing, China, in October 2012. computer vision and image processing; knowledge discovery, data mining, and web mining;

Intelligent Robotics and Applications

Автор: Su
Название: Intelligent Robotics and Applications
ISBN: 364233508X ISBN-13(EAN): 9783642335082
Издательство: Springer
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Цена: 7547.00 р.
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Описание: The three volume set LNAI 7506, LNAI 7507 and LNAI 7508 constitutes the refereed proceedings of the 5th International Conference on Intelligent Robotics and Applications, ICIRA 2012, held in Montreal, Canada, in October 2012. This volume covers the topics of adaptive control systems; intelligent control of mechanical and mechatronic systems.

Advances in Intelligent Data Analysis

Автор: Frank Hoffmann; David J Hand; Niall M. Adams; Doug
Название: Advances in Intelligent Data Analysis
ISBN: 3540425810 ISBN-13(EAN): 9783540425816
Издательство: Springer
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Цена: 10480.00 р.
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Описание: This volume constitutes the refereed proceedings of the 4th International Conference on Intelligent Data Analysis, IDA 2001. Areas covered include: statistics; artificial intelligence; neural networks; machine learning; data mining; and interactive dynamic data visualization.

Advances in Intelligent Data Analysis. Reasoning about Data

Автор: Xiaohui Liu; Paul Cohen; Michael R. Berthold
Название: Advances in Intelligent Data Analysis. Reasoning about Data
ISBN: 3540633464 ISBN-13(EAN): 9783540633464
Издательство: Springer
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Цена: 14673.00 р.
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Описание: This book constitutes the refereed proceedings of the Second International Symposium on Intelligent Data Analysis, IDA-97, held in London, UK, in August 1997.The volume presents 50 revised full papers selected from a total of 107 submissions. Also included is a keynote, Intelligent Data Analysis: Issues and Opportunities, by David J.

Intelligent Data Analysis for e-Learning

Автор: Miguel, Jorge
Название: Intelligent Data Analysis for e-Learning
ISBN: 0128045353 ISBN-13(EAN): 9780128045350
Издательство: Elsevier Science
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Цена: 15159.00 р.
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Описание:

Intelligent Data Analysis for e-Learning: Enhancing Security and Trustworthiness in Online Learning Systems addresses information security within e-Learning based on trustworthiness assessment and prediction. Over the past decade, many learning management systems have appeared in the education market. Security in these systems is essential for protecting against unfair and dishonest conduct-most notably cheating-however, e-Learning services are often designed and implemented without considering security requirements.

This book provides functional approaches of trustworthiness analysis, modeling, assessment, and prediction for stronger security and support in online learning, highlighting the security deficiencies found in most online collaborative learning systems. The book explores trustworthiness methodologies based on collective intelligence than can overcome these deficiencies. It examines trustworthiness analysis that utilizes the large amounts of data-learning activities generate. In addition, as processing this data is costly, the book offers a parallel processing paradigm that can support learning activities in real-time.

The book discusses data visualization methods for managing e-Learning, providing the tools needed to analyze the data collected. Using a case-based approach, the book concludes with models and methodologies for evaluating and validating security in e-Learning systems.

Indexing: The books of this series are submitted to EI-Compendex and SCOPUS


  • Provides guidelines for anomaly detection, security analysis, and trustworthiness of data processing
  • Incorporates state-of-the-art, multidisciplinary research on online collaborative learning, social networks, information security, learning management systems, and trustworthiness prediction
  • Proposes a parallel processing approach that decreases the cost of expensive data processing
  • Offers strategies for ensuring against unfair and dishonest assessments
  • Demonstrates solutions using a real-life e-Learning context
Advances in Classification and Data Analysis

Автор: Simone Borra; Roberto Rocci; Maurizio Vichi; Marti
Название: Advances in Classification and Data Analysis
ISBN: 3540414886 ISBN-13(EAN): 9783540414889
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This volume presents developments in classification and mulitivariate analysis. Topics that have been treated with considerable attention include cluster analysis, discriminant analysis, proximity structure analysis, multidimensional scaling, genetic algorithms, and neural networks.


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