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Causal Models and Intelligent Data Management, Alex Gammerman


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Автор: Alex Gammerman
Название:  Causal Models and Intelligent Data Management
ISBN: 9783540663287
Издательство: Springer
Классификация:

ISBN-10: 3540663282
Обложка/Формат: Hardcover
Страницы: 185
Вес: 0.36 кг.
Дата издания: 19.08.1999
Язык: English
Размер: 242 x 162 x 16
Основная тема: Computer Science
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
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 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: 101060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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

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: 158380.00 T
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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 Intelligent Data Analysis

Автор: David J Hand; Joost N. Kok; Michael R. Berthold
Название: Advances in Intelligent Data Analysis
ISBN: 3540663320 ISBN-13(EAN): 9783540663324
Издательство: Springer
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Цена: 93160.00 T
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Описание: This text address all current aspects of intelligent data analysis, including sections on learning, visualization, classification and clustering, integration, applications and media mining.

Data-Driven Technology for Engineering Systems Health Management

Автор: Niu
Название: Data-Driven Technology for Engineering Systems Health Management
ISBN: 9811020310 ISBN-13(EAN): 9789811020315
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach from a systems engineering perspective, then summarizing and elaborating on the data-driven methodology for feature construction, as well as feature-based fault diagnosis and prognosis. The book includes a wealth of illustrations and tables to help explain the algorithms, as well as practical examples showing how to use this tool to solve situations for which analytic solutions are poorly suited. It equips readers to apply the concepts discussed in order to analyze and solve a variety of problems in PHM system design, feature construction, fault diagnosis and prognosis.

Data Management Technologies and Applications

Автор: Chiara Francalanci; Markus Helfert
Название: Data Management Technologies and Applications
ISBN: 3319629107 ISBN-13(EAN): 9783319629100
Издательство: Springer
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Цена: 55890.00 T
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Описание: This book constitutes the thoroughly refereed proceedings of the Fourth International Conference on Data Technologies and Applications, DATA 2016, held in Colmar, France, in July 2016.

Causal Models and Intelligent Data Management

Автор: Alex Gammerman
Название: Causal Models and Intelligent Data Management
ISBN: 3642636829 ISBN-13(EAN): 9783642636820
Издательство: Springer
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Цена: 46570.00 T
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Описание: The need to electronically store, manipulate and analyze large-scale, high-dimensional data sets requires new computational methods. This book presents new intelligent data management methods and tools, including new results from the field of inference.

Intelligent Data Mining

Автор: Da Ruan; Guoqing Chen; Etienne E. Kerre; Geert Wet
Название: Intelligent Data Mining
ISBN: 3642065767 ISBN-13(EAN): 9783642065767
Издательство: Springer
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Цена: 243800.00 T
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Описание: "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.

Intelligent Data Engineering and Automated Learning – IDEAL 2016

Автор: Yin
Название: Intelligent Data Engineering and Automated Learning – IDEAL 2016
ISBN: 3319462563 ISBN-13(EAN): 9783319462561
Издательство: Springer
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Цена: 76400.00 T
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Описание: This book constitutes the refereed proceedings of the 17 International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2016, held in Yangzhou, China, in October 2016. The 68 full papers presented were carefully reviewed and selected from 115 submissions. They provide a valuable and timely sample of latest research outcomes in data engineering and automated learning ranging from methodologies, frameworks, and techniques to applications including various topics such as evolutionary algorithms; deep learning; neural networks; probabilistic modeling; particle swarm intelligence; big data analysis; applications in regression, classification, clustering, medical and biological modeling and predication; text processing and image analysis.

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: 59630.00 T
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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.

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: 69870.00 T
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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: 97820.00 T
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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.

Advances in Data and Web Management

Автор: Qing Li; Ling Feng; Jian Pei; X. Sean Wang; Xiaofa
Название: Advances in Data and Web Management
ISBN: 364200671X ISBN-13(EAN): 9783642006715
Издательство: Springer
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Цена: 111790.00 T
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Описание: Constitutes the proceedings of the joint International Conference APWeb/WAIM 2009 which was held in Suzhou, China, during April 1-4, 2009. This work covers topics including query processing, topic-based techniques, Web data processing, multidimensional data analysis, stream data processing and data management support to advanced applications.


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