Methods and Supporting Technologies for Data Analysis, Danuta Zakrzewska; Ernestina Menasalvas; Liliana B
Автор: Teresa Kowalczyk; Elzbieta Pleszczynska; Frederick Название: Grade Models and Methods for Data Analysis ISBN: 3642535615 ISBN-13(EAN): 9783642535611 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a new grade methodology for intelligent data analysis. This monograph is the only book presently available covering both the theory and application of grade data analysis and therefore aiming both at researchers, students, as well as applied practitioners.
Автор: Kimberly F. Johnson; Simon M. Lin Название: Methods of Microarray Data Analysis III ISBN: 1475785046 ISBN-13(EAN): 9781475785043 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Three tutorial papers are presented to assist with a basic understanding of underlying principles in microarray data analysis, and twelve new papers are highlighted analyzing the same CAMDA`02 datasets: the Project Normal data set or the Affymetrix Latin Square data set.
Автор: Pascucci Название: Topological Methods in Data Analysis and Visualization ISBN: 3642150136 ISBN-13(EAN): 9783642150135 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Topology-based methods are of increasing importance in the analysis and visualization of datasets from a wide variety of scientific domains such as biology, physics, engineering, and medicine. Current challenges of topology-based techniques include the management of time-dependent data, the representation of large and complex datasets, the characterization of noise and uncertainty, the effective integration of numerical methods with robust combinatorial algorithms, etc. . The editors have brought together the most prominent and best recognized researchers in the field of topology-based data analysis and visualization for a joint discussion and scientific exchange of the latest results in the field. This book contains the best 20 peer-reviewed papers resulting from the discussions and presentations at the third workshop on Topological Methods in Data Analysis and Visualization , held 2009 in Snowbird, Utah, US. The 2009 TopoInVis workshop follows the two successful workshops in 2005 (Slovakia) and 2007 (Germany).
Автор: Sappleton Название: Advancing Research Methods With New Technologies ISBN: 1466639180 ISBN-13(EAN): 9781466639188 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 25502.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Advancing digital technologies continue to shape all aspects of our society, with particular impact on the professional research community. These new and exciting developments offer considerable advantages in terms of speed, access connectivity, and economy. <em>Advancing Research Methods with New Technologies</em> examines the applicability and usefulness of new technologies, as well as the pitfalls of these methods in academic research practices. This book serves as a practical guide for designing and conduction research projects for scientists all of disciplines ranging from graduate students to professors and practitioners.
Описание: This bookpresents some of the emerging techniques and technologies used to handle Webdata management. The Volume will be a valuable reference toresearchers, students and practitioners in the field of Web data management,cloud computing, social networks using advanced intelligence tools.
Автор: Alla Kravets; Maxim Shcherbakov; Marina Kultsova; Название: Creativity in Intelligent Technologies and Data Science ISBN: 3319237659 ISBN-13(EAN): 9783319237657 Издательство: Springer Рейтинг: Цена: 14814.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the First Conference on Creativity in Intelligent Technologies and Data Science, CIT&DS 2015, held in Volgograd, Russia, in September 2015. The papers are organized in topical sections on computational creativity for science and design;
Автор: Ning Zhong; Jiming Liu Название: Intelligent Technologies for Information Analysis ISBN: 3642073786 ISBN-13(EAN): 9783642073786 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Intelligent Information Technology (iiT) encompasses the theories and ap- plications of artificial intelligence, statistical pattern recognition, learning theory, data warehousing, data mining and knowledge discovery, Grid com- puting, and autonomous agents and multi-agent systems in the context of today's as well as future IT, such as Electronic Commerce (EC), Business Intelligence (BI), Social Intelligence (SI), Web Intelligence (WI), Knowledge Grid (KG), and Knowledge Community (KC), among others. The multi-author monograph presents the current state of the research and development in intelligent technologies for information analysis, in par- ticular, advances in agents, data mining, and learning theory, from both the- oretical and application aspects. It investigates the future of information technology (IT) from a new intelligent IT (iiT) perspective, and highlights major iiT-related topics by structuring an introductory chapter and 22 sur- vey/research chapters into 5 parts: (1) emerging data mining technology, (2) data mining for Web intelligence, (3) emerging agent technology, ( 4) emerging soft computing technology, and (5) statistical learning theory. Each chapter includes the original work of the author(s) as well as a comprehensive survey related to the chapter's topic. This book will become a valuable source of reference for R&D profession- als active in advanced intelligent information technologies. Students as well as IT professionals and ambitious practitioners concerned with advanced in- telligent information technologies will appreciate the book as a useful text enhanced by numerous illustrations and examples.
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 Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Leonard Barolli; Mingwu Zhang; Xu An Wang Название: Advances in Internetworking, Data & Web Technologies ISBN: 3319594621 ISBN-13(EAN): 9783319594620 Издательство: Springer Рейтинг: Цена: 41925.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights the latest research findings, innovative research results, methods and development techniques, from both theoretical and practical perspectives, in the emerging areas of information networking, data and Web technologies.
Автор: Maria Jos? Escalona; Jos? Cordeiro; Boris Shishkov Название: Software and Data Technologies ISBN: 3642361765 ISBN-13(EAN): 9783642361760 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the 6th International Conference on Software and Data Technologies, ICSOFT 2011, held in Seville, Spain, in July 12011. The 13 revised full papers presented together with 4 invited papers were carefully reviewed and selected from 220 submissions.
Автор: Danuta Zakrzewska; Ernestina Menasalvas; Liliana B Название: Methods and Supporting Technologies for Data Analysis ISBN: 3642424961 ISBN-13(EAN): 9783642424960 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book gives a coherent and comprehensive picture of the new developments in database systems. It offers an overview of the ways in which data has been stored, modeled, processed and analyzed, including the technical challenges for efficiency management.
Автор: Zhang, Jianye Zhang, Peng Название: Time series analysis methods and applications for flight data ISBN: 3662534282 ISBN-13(EAN): 9783662534281 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As mass flight data possesses the typical characteristics of time series, the time series analysis methods and their application for flight data have been illustrated from several aspects, such as data filtering, data extension, feature optimization, similarity search, trend monitoring, fault diagnosis, and parameter prediction, etc.
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