Link Mining: Models, Algorithms, and Applications, Philip S. Yu; Jiawei Han; Christos Faloutsos
Автор: Sung Название: Algorithms in Bioinformatics ISBN: 1420070339 ISBN-13(EAN): 9781420070330 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Presents an introduction to the algorithmic techniques applied in bioinformatics. For each topic, this title details the biological motivation, defines the corresponding computational problems, and includes examples to illustrate each algorithm.
Автор: Nguyen Название: Multiple Biological Sequence Alignment - Scoring Functions, Algorithms and Applications ISBN: 1118229045 ISBN-13(EAN): 9781118229040 Издательство: Wiley Рейтинг: Цена: 101320.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Covers the fundamentals and techniques of multiple biological sequence alignment and analysis, and shows readers how to choose the appropriate sequence analysis tools for their tasks This book describes the traditional and modern approaches in biological sequence alignment and homology search.
Автор: Dmitri A. Viattchenin Название: A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications ISBN: 364244301X ISBN-13(EAN): 9783642443015 Издательство: Springer Рейтинг: Цена: 113180.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In a new approach to possibilistic clustering, the sought clustering structure of the set is based directly on the formal definition of fuzzy cluster and possibilistic memberships are determined directly from the values of the pairwise similarity of objects.
Автор: Guojun Gan Название: Data Clustering: Theory, Algorithms, and Applications ISBN: 0898716233 ISBN-13(EAN): 9780898716238 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 112860.00 T Наличие на складе: Невозможна поставка. Описание: Cluster analysis is an unsupervised process that divides a set of objects into homogeneous groups. This book starts with basic information on cluster analysis, including the classification of data and the corresponding similarity measures, followed by the presentation of over 50 clustering algorithms in groups according to some specific baseline methodologies such as hierarchical, centre-based, and search-based methods. As a result, readers and users can easily identify an appropriate algorithm for their applications and compare novel ideas with existing results. The book also provides examples of clustering applications to illustrate the advantages and shortcomings of different clustering architectures and algorithms. Application areas include pattern recognition, artificial intelligence, information technology, image processing, biology, psychology, and marketing. Suitable as a textbook for an introductory course in cluster analysis or as source material for a graduate-level introduction to data mining.
Название: Data Mining and Applications in Genomics ISBN: 1402089740 ISBN-13(EAN): 9781402089749 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies based on the recent and current works at the University of Hong Kong and the Oxford University Computing Laboratory, University of Oxford.
Автор: Petra Perner Название: Advances in Data Mining. Applications and Theoretical Aspects ISBN: 3642030661 ISBN-13(EAN): 9783642030666 Издательство: Springer Рейтинг: Цена: 81050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The topics range from theoretical aspects of data mining to app- cations of data mining, such as on multimedia data, in marketing, finance and telec- munication, in medicine and agriculture, and in process control, industry and society.
Автор: Tang Название: Advanced Data Mining and Applications ISBN: 3540881913 ISBN-13(EAN): 9783540881919 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Constitutes the refereed proceedings of the 4th International Conference on Advanced Data Mining and Applications, ADMA 2008, held in Chengdu, China, in October 2008. This book focuses on advancements in data mining and peculiarities and challenges of real world applications using data mining.
Автор: Duane E. Haines Название: Fundamental Neuroscience for Basic and Clinical Applications, ISBN: 1437702945 ISBN-13(EAN): 9781437702941 Издательство: Elsevier Science Рейтинг: Цена: 70730.00 T Наличие на складе: Невозможна поставка. Описание: Includes coverage of neuroanatomy, physiology, and pharmacology, with a particular emphasis on systems neurobiology, effectively prepares you for your courses, exams, and beyond.
Автор: Animesh Adhikari; Pralhad Ramachandrarao; Witold P Название: Developing Multi-Database Mining Applications ISBN: 1447125630 ISBN-13(EAN): 9781447125631 Издательство: Springer Рейтинг: Цена: 107130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Multi-database mining has been recognized as a strategically essential area of research in data mining. This book discusses various issues regarding the systematic and efficient development of multi-database mining applications.
Название: Data Mining and Applications in Genomics ISBN: 9048180406 ISBN-13(EAN): 9789048180400 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies based on the recent and current works at the University of Hong Kong and the Oxford University Computing Laboratory, University of Oxford.
Автор: Peter Schlattmann Название: Medical Applications of Finite Mixture Models ISBN: 3642088163 ISBN-13(EAN): 9783642088162 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book shows how to model heterogeneity in medical research with covariate adjusted finite mixture models. The areas of application include epidemiology, gene expression data, disease mapping, meta-analysis, neurophysiology and pharmacology.
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