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Soft Computing in Data Science, Michael W. Berry; Bee Wah Yap; Azlinah Mohamed; Ma


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Цена: 6986.00р.
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Автор: Michael W. Berry; Bee Wah Yap; Azlinah Mohamed; Ma
Название:  Soft Computing in Data Science
ISBN: 9789811503986
Издательство: Springer
Классификация:




ISBN-10: 9811503982
Обложка/Формат: Soft cover
Страницы: 388
Вес: 0.62 кг.
Дата издания: 2019
Серия: Communications in Computer and Information Science
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 162 illustrations, color; 95 illustrations, black and white; xvi, 388 p. 257 illus., 162 illus. in color.
Размер: 234 x 156 x 21
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: 5th International Conference, SCDS 2019, Iizuka, Japan, August 28–29, 2019, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the refereed proceedings of the 5th International Conference on Soft Computing in Data Science, SCDS 2019, held in Iizuka, Japan, in August 2019. The 30 revised full papers presented were carefully reviewed and selected from 75 submissions. The papers are organized in topical sections on ?information and customer analytics; visual data science; machine and deep learning; big data analytics; computational and artificial intelligence; social network and media analytics.
Дополнительное описание: Information and Customer Analytics .- Visual Data Science.- Machine and Deep Learning.- Big Data Analytics.- Computational and Artificial Intelligence.- Social Network and Media Analytics.



Soft Computing for Data Mining Applications

Автор: K. R. Venugopal; K.G Srinivasa; L. M. Patnaik
Название: Soft Computing for Data Mining Applications
ISBN: 3642101259 ISBN-13(EAN): 9783642101250
Издательство: Springer
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Цена: 27251.00 р.
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Описание: This monograph presents recent research in the fields of data mining in combination with soft computing methodologies. It provides valuable research directions in the field of specialization.

Soft Computing in XML Data Management

Автор: Zongmin Ma; Li Yan
Название: Soft Computing in XML Data Management
ISBN: 3642264018 ISBN-13(EAN): 9783642264016
Издательство: Springer
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Цена: 26120.00 р.
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Описание: This book covers in a great depth the fast growing topic of techniques, tools and applications of soft computing in XML data management. It shows how XML data management (like model, query, integration) can be covered with a soft computing focus.

Hybrid Soft Computing for Multilevel Image and Data Segmentation

Автор: Sourav De; Siddhartha Bhattacharyya; Susanta Chakr
Название: Hybrid Soft Computing for Multilevel Image and Data Segmentation
ISBN: 3319475231 ISBN-13(EAN): 9783319475233
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This book explains efficient solutions for segmenting the intensity levels of different types of multilevel images. The authors present hybrid soft computing techniques, which have advantages over conventional soft computing solutions as they incorporate data heterogeneity into the clustering/segmentation procedures.This is a useful introduction and reference for researchers and graduate students of computer science and electronics engineering, particularly in the domains of image processing and computational intelligence.

Recent Advances on Soft Computing and Data Mining

Автор: Herawan
Название: Recent Advances on Soft Computing and Data Mining
ISBN: 331951279X ISBN-13(EAN): 9783319512792
Издательство: Springer
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Цена: 41787.00 р.
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Описание:

This book provides a comprehensive introduction and practical look at the concepts and techniques readers need to get the most out of their data in real-world, large-scale data mining projects. It also guides readers through the data-analytic thinking necessary for extracting useful knowledge and business value from the data.
The book is based on the Soft Computing and Data Mining (SCDM-16) conference, which was held in Bandung, Indonesia on August 18th–20th 2016 to discuss the state of the art in soft computing techniques, and offer participants sufficient knowledge to tackle a wide range of complex systems. The scope of the conference is reflected in the book, which presents a balance of soft computing techniques and data mining approaches. The two constituents are introduced to the reader systematically and brought together using different combinations of applications and practices. It offers engineers, data analysts, practitioners, scientists and managers the insights into the concepts, tools and techniques employed, and as such enables them to better understand the design choice and options of soft computing techniques and data mining approaches that are necessary to thrive in this data-driven ecosystem.
Soft Computing in Data Science

Автор: Berry
Название: Soft Computing in Data Science
ISBN: 9811027765 ISBN-13(EAN): 9789811027765
Издательство: Springer
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Цена: 9503.00 р.
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Описание: This book constitutes the refereed proceedings of the International Conference on Soft Computing in Data Science, SCDS 2016, held in Putrajaya, Malaysia, in September 2016. The 27 revised full papers presented were carefully reviewed and selected from 66 submissions. The papers are organized in topical sections on artificial neural networks; classification, clustering, visualization; fuzzy logic; information and sentiment analytics.

Soft Computing in Big Data Processing

Автор: Keon Myung Lee; Seung-Jong Park; Jee-Hyong Lee
Название: Soft Computing in Big Data Processing
ISBN: 3319055267 ISBN-13(EAN): 9783319055268
Издательство: Springer
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Цена: 22203.00 р.
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Описание: Considering a big size of data, variety of data and frequent changes of data, the intelligent systems basically challenge new data management tasks for integration, visualization, querying and analysis.

Recent Advances on Soft Computing and Data Mining

Автор: Tutut Herawan; Rozaida Ghazali; Mustafa Mat Deris
Название: Recent Advances on Soft Computing and Data Mining
ISBN: 3319076914 ISBN-13(EAN): 9783319076911
Издательство: Springer
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Цена: 32142.00 р.
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Описание: This book constitutes the refereed proceedings of the First International Conference on Soft Computing and Data Mining, SCDM 2014, held in Universiti Tun Hussein Onn Malaysia, in June 16th-18th, 2014.

Strengthening Links Between Data Analysis and Soft Computing

Автор: Przemyslaw Grzegorzewski; Marek Gagolewski; Olgier
Название: Strengthening Links Between Data Analysis and Soft Computing
ISBN: 331910764X ISBN-13(EAN): 9783319107646
Издательство: Springer
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Цена: 14365.00 р.
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Описание: This book gathers contributions presented at the 7th International Conference on Soft Methods in Probability and Statistics SMPS 2014, held in Warsaw (Poland) on September 22-24, 2014.

Towards Advanced Data Analysis by Combining Soft Computing and Statistics

Автор: Christian Borgelt; Mar?a ?ngeles Gil; Jo?o M.C. So
Название: Towards Advanced Data Analysis by Combining Soft Computing and Statistics
ISBN: 3642443745 ISBN-13(EAN): 9783642443749
Издательство: Springer
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Цена: 20896.00 р.
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Описание: This book blends the adaptability and speed of soft computing with the rigor and precision of statistics to enhance the robustness and generalizability of data analysis, while preserving the flexibility to solve real-world problems intuitively and efficiently.

Soft Computing for Image and Multimedia Data Processing

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: 6986.00 р.
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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.

Soft Computing for Knowledge Discovery and Data Mining

Автор: Oded Maimon; Lior Rokach
Название: Soft Computing for Knowledge Discovery and Data Mining
ISBN: 144194351X ISBN-13(EAN): 9781441943514
Издательство: Springer
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Цена: 12577.00 р.
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Описание:

Data mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It is extremely important because it enables modeling and knowledge extraction from abundant data availability.

Soft Computing for Knowledge Discovery and Data Mining introduces soft computing methods extending the envelope of problems that data mining can solve efficiently. It presents practical soft-computing approaches in data mining. This edited volume by highly regarded authors, includes several contributors of the 2005, Data Mining and Knowledge Discovery Handbook. This book was written to provide investigators in the fields of information systems, engineering, computer science, statistics and management with a profound source for the role of soft computing in data mining. Not only does this book feature illustrations of various applications including manufacturing, medical, banking, insurance and others, but also includes various real-world case studies with detailed results.

Soft Computing for Knowledge Discovery and Data Mining is designed for practitioners and researchers in industry. Practitioners and researchers may be particularly interested in the description of real world data mining projects performed with soft computing. This book is also suitable as a secondary textbook or reference for advanced-level students in information systems, engineering, computer science and statistics management.

Recent Advances on Soft Computing and Data Mining

Автор: Ghazali
Название: Recent Advances on Soft Computing and Data Mining
ISBN: 3319725491 ISBN-13(EAN): 9783319725499
Издательство: Springer
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Цена: 27950.00 р.
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Описание:

An Improved Hybrid Firefly Algorithm for Solving Optimization Problems.- Classification of JPEG Files by Using Extreme Learning Machine.- A Relative Tolerance Relation of Rough Set for Incomplete Information Systems.- An Algorithm Design of Kansei Recommender System.- A Framework to Cluster Temporal Data Using Personalised Modelling Approach.- Fibonacci Polynomials Based Functional Link Neural Network for Classification Tasks.


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