Multimedia Data Mining, Zhang, Zhongfei , Zhang, Ruofei

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 69870.00 T
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Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Автор: Leskovec Jure
Название: Mining of Massive Datasets
ISBN: 1108476341 ISBN-13(EAN): 9781108476348
Издательство: Cambridge Academ
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Цена: 71810.00 T
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Описание: Essential reading for students and practitioners, this book focuses on practical algorithms used to solve key problems in data mining, with exercises suitable for students from the advanced undergraduate level and beyond. This third edition includes new and extended coverage on decision trees, deep learning, and mining social-network graphs.

Автор: Foster Provost
Название: Data Science For Business: What You Need To Know About Data Mining And Dataanalytic Thinking
ISBN: 1449361323 ISBN-13(EAN): 9781449361327
Издательство: Wiley
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Цена: 42230.00 T
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Описание: This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect.

Название: Multimedia data mining and analytics
ISBN: 3319149970 ISBN-13(EAN): 9783319149974
Издательство: Springer
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Цена: 111790.00 T
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Описание: Multimedia Data Mining and Analytics

Автор: Zhang, Zhongfei
Название: Multimedia Data Mining
ISBN: 1584889667 ISBN-13(EAN): 9781584889663
Издательство: Taylor&Francis
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Цена: 112290.00 T
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Автор: Valery A. Petrushin; Latifur Khan
Название: Multimedia Data Mining and Knowledge Discovery
ISBN: 1447160134 ISBN-13(EAN): 9781447160137
Издательство: Springer
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Цена: 144410.00 T
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Описание: This volume provides an overview of multimedia data mining and knowledge discovery and discusses the variety of hot topics in multimedia data mining research. It describes the objectives and current tendencies in multimedia data mining research and their applications.

Автор: Chaudhury, Santanu , Mallik, Anupama , Ghosh, Hi
Название: Multimedia Ontology
ISBN: 0367445824 ISBN-13(EAN): 9780367445829
Издательство: Taylor&Francis
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Цена: 63280.00 T
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The result of more than 15 years of collective research, Multimedia Ontology: Representation and Applications provides a theoretical foundation for understanding the nature of media data and the principles involved in its interpretation. The book presents a unified approach to recent advances in multimedia and explains how a multimedia ontology can fill the semantic gap between concepts and the media world. It relays real-life examples of implementations in different domains to illustrate how this gap can be filled.

The book contains information that helps with building semantic, content-based search and retrieval engines and also with developing vertical application-specific search applications. It guides you in designing multimedia tools that aid in logical and conceptual organization of large amounts of multimedia data. As a practical demonstration, it showcases multimedia applications in cultural heritage preservation efforts and the creation of virtual museums.

The book describes the limitations of existing ontology techniques in semantic multimedia data processing, as well as some open problems in the representations and applications of multimedia ontology. As an antidote, it introduces new ontology representation and reasoning schemes that overcome these limitations. The long, compiled efforts reflected in Multimedia Ontology: Representation and Applications are a signpost for new achievements and developments in efficiency and accessibility in the field.

Автор: Tao Dacheng, Xu Dong, Li Xuelong
Название: Semantic Mining Technologies for Multimedia Databases
ISBN: 1605661880 ISBN-13(EAN): 9781605661889
Издательство: Mare Nostrum (Eurospan)
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Цена: 163020.00 T
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Описание: Multimedia searching and management have become popular due to demanding applications and competition among companies. This book provides an introduction to the techniques in multimedia semantic mining necessary to researchers new to the field.

Автор: Siddhartha Bhattacharyya; Ujjwal Maulik
Название: Soft Computing for Image and Multimedia Data Processing
ISBN: 3662513595 ISBN-13(EAN): 9783662513590
Издательство: Springer
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Цена: 46570.00 T
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Описание: This full-spectrum graduate textbook starts with a tutorial on brain learning and the key soft computing techniques. It focuses on object extraction, image segmentation and edge detection, with extensive real-life applications in multimedia data processing.

Автор: Binxing Fang, Yan Jia
Название: Structure and Evolution
ISBN: 3110596067 ISBN-13(EAN): 9783110596069
Издательство: Walter de Gruyter
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Цена: 107790.00 T
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Описание: The three volume set provides a systematic overview of theories and technique on social network analysis. Volume 1 of the set mainly focuses on the structure characteristics, the modeling, and the evolution mechanism of social network analysis. Techniques and approaches for virtual community detection are discussed in detail as well. It is an essential reference for scientist and professionals in computer science.

Автор: Siddhartha Bhattacharyya, Indrajit Pan, Abhijit Da
Название: Intelligent Multimedia Data Analysis
ISBN: 3110550318 ISBN-13(EAN): 9783110550313
Издательство: Walter de Gruyter
Цена: 123910.00 T
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Описание: This volume comprises eight well-versed contributed chapters devoted to report the latest findings on the intelligent approaches to multimedia data analysis. Multimedia data is a combination of different discrete and continuous content forms like text, audio, images, videos, animations and interactional data. At least a single continuous media in the transmitted information generates multimedia information. Due to these different types of varieties, multimedia data present varied degrees of uncertainties and imprecision, which cannot be easy to deal by the conventional computing paradigm. Soft computing technologies are quite efficient to handle the imprecision and uncertainty of the multimedia data and they are flexible enough to process the real-world information. Proper analysis of multimedia data finds wide applications in medical diagnosis, video surveillance, text annotation etc. This volume is intended to be used as a reference by undergraduate and post graduate students of the disciplines of computer science, electronics and telecommunication, information science and electrical engineering. THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research fi ndings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the fi eld and create a broad knowledge about the most recent state of the art.

Автор: Bhattacharyya, Siddhartha Maulik, Ujjwal
Название: Soft computing for image and multimedia data processing
ISBN: 3642402542 ISBN-13(EAN): 9783642402548
Издательство: Springer
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Цена: 69870.00 T
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Описание: Soft Computing for Image and Multimedia Data Processing