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Computational Intelligence in Data Mining, Giacomo Della Riccia; Rudolf Kruse; Hans-J. Lenz


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Автор: Giacomo Della Riccia; Rudolf Kruse; Hans-J. Lenz
Название:  Computational Intelligence in Data Mining
ISBN: 9783211833261
Издательство: Springer
Классификация:


ISBN-10: 3211833269
Обложка/Формат: Paperback
Страницы: 166
Вес: 0.29 кг.
Дата издания: 31.05.2000
Серия: CISM International Centre for Mechanical Sciences
Язык: English
Размер: 244 x 170 x 10
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The book aims to merge Computational Intelligence with Data Mining, which are both hot topics of current research and industrial development, Computational Intelligence, incorporates techniques like data fusion, uncertain reasoning, heuristic search, learning, and soft computing.


Militarized Conflict Modeling Using Computational Intelligence

Автор: Tshilidzi Marwala; Monica Lagazio
Название: Militarized Conflict Modeling Using Computational Intelligence
ISBN: 1447127013 ISBN-13(EAN): 9781447127017
Издательство: Springer
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Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This volume offers a scientific approach to manage inter-country conflict. Readers will find that through simultaneous control of four specific aspects (democracy, dependency, allies and capacity), predicted dispute outcomes can be avoided.

Computational Intelligence in Data Mining—Volume 1

Автор: Himansu Sekhar Behera; Durga Prasad Mohapatra
Название: Computational Intelligence in Data Mining—Volume 1
ISBN: 8132227328 ISBN-13(EAN): 9788132227328
Издательство: Springer
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Цена: 26122.00 р.
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Описание: The book is a collection of high-quality peer-reviewed research papers presented in the Second International Conference on Computational Intelligence in Data Mining (ICCIDM 2015) held at Bhubaneswar, Odisha, India during 5 - 6 December 2015.

Next Generation Data Technologies for Collective Computational Intelligence

Автор: Nik Bessis; Fatos Xhafa
Название: Next Generation Data Technologies for Collective Computational Intelligence
ISBN: 3642267343 ISBN-13(EAN): 9783642267345
Издательство: Springer
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Цена: 41787.00 р.
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Описание: Blending theory with practice, this book brings together a variety of next-generation data technologies used to capture, integrate, analyze, mine, annotate and visualize distributed data in a manner that is meaningful and collaborative for the organization.

Computational Intelligence in Data Mining

Автор: Himansu Sekhar Behera; Durga Prasad Mohapatra
Название: Computational Intelligence in Data Mining
ISBN: 9811038732 ISBN-13(EAN): 9789811038730
Издательство: Springer
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Цена: 41925.00 р.
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Описание: The book presents high quality papers presented at the International Conference on Computational Intelligence in Data Mining (ICCIDM 2016) organized by School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India during December 10 - 11, 2016.

Data Mining and Computational Intelligence

Автор: Abraham Kandel; Mark Last; Horst Bunke
Название: Data Mining and Computational Intelligence
ISBN: 3790824844 ISBN-13(EAN): 9783790824841
Издательство: Springer
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Цена: 23058.00 р.
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Описание: Many business decisions are made in the absence of complete information about the decision consequences. The idea is to utilize the potential similarity between the patterns of the past (e.g., "most students used to be profitable") and the patterns of the future (e.g., "students will be profitable").

Materials Design Using Computational Intelligence Techniques

Автор: Shubhabrata Datta
Название: Materials Design Using Computational Intelligence Techniques
ISBN: 1482238322 ISBN-13(EAN): 9781482238327
Издательство: Taylor&Francis
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Цена: 25265.00 р.
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Описание: This book illustrates the alternative but effective methods of designing materials, where models are developed through capturing the inherent correlations among the variables on the basis of available imprecise knowledge in the form of rules or database.

Computational Intelligence for Big Data Analysis

Автор: D.P. Acharjya; Satchidananda Dehuri; Sugata Sanyal
Название: Computational Intelligence for Big Data Analysis
ISBN: 3319165976 ISBN-13(EAN): 9783319165974
Издательство: Springer
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Цена: 18284.00 р.
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Описание: The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing. The book discusses major issues pertaining to big data analysis using computational intelligence techniques and some issues of cloud computing.

Information Granularity, Big Data, and Computational Intelligence

Автор: Witold Pedrycz; Shyi-Ming Chen
Название: Information Granularity, Big Data, and Computational Intelligence
ISBN: 3319082531 ISBN-13(EAN): 9783319082530
Издательство: Springer
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Цена: 20896.00 р.
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Описание: Nearest Neighbor Queries on Big Data.- Information Mining for Big Information.- Information Granules Problem: An Efficient Solution of Real-Time Fuzzy Regression Analysis.- How to Understand Connections Based on Big Data: From Cliques to Flexible Granules.- Maintain 'Omics: When e-Maintenance Enters the Big Data Era.- Incrementally Mining Frequent Patterns for Large Database.- Improved Latent Semantic Indexing-based Data Mining Methods and An Application to Big.- The Property of Different Granule and Granular Methods Based on Quotient Space.- Towards An Optimal Task-Driven Information Granulation.- Unified Framework for Construction of Rule Based Classification Systems.- Multi-granular Evaluation Model through Fuzzy Random Regression to Improve Information.- Building Fuzzy Robust Regression Model Based on Granularity and Possibility Distribution.- The Role of Cloud Computing Architectures in Big Data.- Big Data Storage Techniques for Spatial Databases: Implications of Big Data Architecture on Spatial Query Processing.- The Web KnowARR Framework: Orchestrating Computational Intelligence with Graph Databases.- Customer Relationship Management and Big Data Mining.- Performance Competition for ISCIFCM and Application of Computational Intelligence on Analysis of Air Quality Monitoring Big Data.-PEI Models under Uncontrolled Circumstances.- Rough Set Model based Knowledge Acquisition of Market Movements from Economic Data.- Deep Neural Network Modeling for Big Data Weather Forecast.- Current Knowledge and Future Challenge for Visibility Forecasting by Computational Intelligence.- Application of Computational Intelligence on Analysis of Air Quality Monitoring Big Data.


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