Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery, Wang Hsiao-Fan
Автор: Ning Zhong; Lizhu Zhou Название: Methodologies for Knowledge Discovery and Data Mining ISBN: 3540658661 ISBN-13(EAN): 9783540658665 Издательство: Springer Рейтинг: Цена: 12196.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the Third Pacific Asia Conference on Knowledge Discovery and Data Mining, held in Beijing, China, in April 1999. Topics include emerging KDD technology, association rules, feature selection and generation, and rough sets, fuzzy logic, and neural networks.
Автор: David J Hand; Joost N. Kok; Michael R. Berthold Название: Advances in Intelligent Data Analysis ISBN: 3540663320 ISBN-13(EAN): 9783540663324 Издательство: Springer Рейтинг: Цена: 12196.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text address all current aspects of intelligent data analysis, including sections on learning, visualization, classification and clustering, integration, applications and media mining.
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 Рейтинг: Цена: 12805.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Frank Hoffmann; David J Hand; Niall M. Adams; Doug Название: Advances in Intelligent Data Analysis ISBN: 3540425810 ISBN-13(EAN): 9783540425816 Издательство: Springer Рейтинг: Цена: 9146.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Pan Название: Intelligent Data Analysis and Applications ISBN: 3319484982 ISBN-13(EAN): 9783319484983 Издательство: Springer Рейтинг: Цена: 20733.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Miguel, Jorge Название: Intelligent Data Analysis for e-Learning ISBN: 0128045353 ISBN-13(EAN): 9780128045350 Издательство: Elsevier Science Рейтинг: Цена: 15159.00 р. 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
Автор: Vladimir Haasz, Kurosh Madani Название: Advanced Data Acquisition and Intelligent Data Processing ISBN: 8793102739 ISBN-13(EAN): 9788793102736 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: DAQ and data processing is a basic part of all automated production systems and diagnostic systems, watching over quality of production, energy distribution, transport control, and various other areas. Demands on the speed, accuracy, and reliability increase in general. These demands are possible to achieve by not only using superior (but also more expensive) hardware but also by applying advanced data acquisition and intelligent data processing. It deals e.g. optimal data fusion of a number of sensors, new stochastic methods for accuracy increasing, new algorithms for acceleration of data processing, etc. These are the grounds for publishing this book.
Advanced Data Acquisition and Intelligent Data Processing offers 10 up-to-date examples of different applications of advanced data acquisition and intelligent data processing used in monitoring, measuring and diagnostics systems. The book arose based on the most interesting papers from this area published at IDAACS?2013 conference. However, the indivudual chapters include not only designed solutions in wider context but also relevant theoretical parts and achieved results.
Technical topics discussed in this book include: - advanced methods of data acquisition in application that are not routine; - measured data fusion using up-to-date advanced data processing; - nonlinear dynamical systems identification; - multidimensional image processing.
Advanced Data Acquisition and Intelligent Data Processing is ideal for personnel of firms dealing with advanced instrumentation, energy consumption monitoring, environment monitoring, non-descructive diagnostics robotics, etc., as well as academic staff and postgraduate students in electrical, control, and computer engineering.
Описание: In order to survive an increasingly competitive market, corporations must adopt and employ optimization techniques and big data analytics for more efficient product development and value creation. Understanding the strengths, weaknesses, opportunities, and threats of new techniques and manufacturing processes allows companies to succeed during the rise of Industry 4.0.Optimizing Big Data Management and Industrial Systems With Intelligent Techniques explores optimization techniques, recommendation systems, and manufacturing processes that support the evaluation of cyber-physical systems, end-to-end engineering, and digitalized control systems. Featuring coverage on a broad range of topics such as digital economy, fuzzy logic, and data linkage methods, this book is ideally designed for manufacturers, engineers, professionals, managers, academicians, and students.
Автор: Zhaohao Sun Название: Managerial Perspectives on Intelligent Big Data Analytics ISBN: 1522572775 ISBN-13(EAN): 9781522572770 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 32987.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive technologies for healthcare, e-commerce, and web services. However, many fundamental, technological, and managerial issues for developing and applying intelligent big data analytics in these fields have yet to be addressed. Managerial Perspectives on Intelligent Big Data Analytics is a collection of innovative research that discusses the integration and application of artificial intelligence, business intelligence, digital transformation, and intelligent big data analytics from a perspective of computing, service, and management. While highlighting topics including e-commerce, machine learning, and fuzzy logic, this book is ideally designed for students, government officials, data scientists, managers, consultants, analysts, IT specialists, academicians, researchers, and industry professionals in fields that include big data, artificial intelligence, computing, and commerce.
Автор: Hemanth, D. Jude Название: Intelligent Data Analysis for Biomedical Applications ISBN: 0128155531 ISBN-13(EAN): 9780128155530 Издательство: Elsevier Science Рейтинг: Цена: 17180.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data. It provides computational methods and tools for intelligent data analysis, with an emphasis on problem-solving relating to automated data collection, such as computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and more. This book provides useful references for educational institutions, industry professionals, researchers, scientists, engineers and practitioners interested in intelligent data analysis, knowledge discovery, and decision support in databases.
Provides the methods and tools necessary for intelligent data analysis and gives solutions to problems resulting from automated data collection
Contains an analysis of medical databases to provide diagnostic expert systems
Addresses the integration of intelligent data analysis techniques within biomedical information systems
Автор: Myra Spiliopoulou; Lars Schmidt-Thieme; Ruth Janni Название: Data Analysis, Machine Learning and Knowledge Discovery ISBN: 331901594X ISBN-13(EAN): 9783319015941 Издательство: Springer Рейтинг: Цена: 12196.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics.
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