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Computational Intelligence for Big Data Analysis, D.P. Acharjya; Satchidananda Dehuri; Sugata Sanyal


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Автор: D.P. Acharjya; Satchidananda Dehuri; Sugata Sanyal
Название:  Computational Intelligence for Big Data Analysis
ISBN: 9783319362007
Издательство: Springer
Классификация:

ISBN-10: 3319362003
Обложка/Формат: Paperback
Страницы: 267
Вес: 0.41 кг.
Дата издания: 09.10.2016
Серия: Adaptation, Learning, and Optimization
Язык: English
Размер: 234 x 156 x 15
Основная тема: Engineering
Подзаголовок: Frontier Advances and Applications
Ссылка на Издательство: Link
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Поставляется из: Германии
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.

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: 168430.00 T
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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.

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: 121110.00 T
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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 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
Рейтинг:
Цена: 121890.00 T
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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.

Advances in Data Analysis with Computational Intelligence Methods

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
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Цена: 139750.00 T
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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.



Computational Intelligence in Intelligent Data Analysis

Автор: Christian Moewes; Andreas N?rnberger
Название: Computational Intelligence in Intelligent Data Analysis
ISBN: 3642430856 ISBN-13(EAN): 9783642430855
Издательство: Springer
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Цена: 174130.00 T
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Описание: Complex systems and their phenomena are ubiquitous as they can befound in biology, finance, the humanities, management sciences,medicine, physics and similar fields.For many problems in these fields, there are no conventional ways tomathematically or analytically solve them completely at low cost.

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: 139310.00 T
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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.

Data Science and Big Data: An Environment of Computational Intelligence

Автор: Witold Pedrycz; Shyi-Ming Chen
Название: Data Science and Big Data: An Environment of Computational Intelligence
ISBN: 3319534734 ISBN-13(EAN): 9783319534732
Издательство: Springer
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Цена: 139750.00 T
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Описание: Part I. Fundamentals.- Large-Scale Clustering Algorithms.- On High Dimensional Search Space and Learning Methods.-Enhanced Over_Sampling Techniques for Imbalanced Big Data Set Classification.- Online Anomaly Detection in Big Data: The First Line of Defense Against Intruders.- Developing Modified Classifier for Big Data Paradigm: An Approach through Bio-Inspired Soft Computing.- Unified Framework for Control of Machine Learning Tasks Towards Effective and Efficient Processing of Big Data.- An Efficient Approach for Mining High Utility Itemsets over Data Streams.- Event Detection in Location-Based Social Networks.- Part II. Applications.- Using Computational Intelligence for the Safety Assessment of Oil and Gas Pipelines: A Survey.- Big Data for Effective Management of Smart Grids.- Distributed Machine Learning on Smart-Gateway Network Towards Real-Time Indoor Data Analytics.- Predicting Spatiotemporal Impacts of Weather on Power Systems using Big Data Science.- Index.

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: 153720.00 T
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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").

Information Granularity, Big Data, and Computational Intelligence

Автор: Witold Pedrycz; Shyi-Ming Chen
Название: Information Granularity, Big Data, and Computational Intelligence
ISBN: 331938161X ISBN-13(EAN): 9783319381619
Издательство: Springer
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Цена: 121890.00 T
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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.

Proceedings of International Conference on Computational Intelligence and Data Engineering

Автор: Nabendu Chaki; Agostino Cortesi; Nagaraju Devarako
Название: Proceedings of International Conference on Computational Intelligence and Data Engineering
ISBN: 9811063184 ISBN-13(EAN): 9789811063183
Издательство: Springer
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Цена: 213360.00 T
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Описание: Preface.- List of Reviewers.- Program Committee.- About the Editors.- Table of Contents.- 30 Chapters.- Author Index.

Data Mining with Computational Intelligence

Автор: Lipo Wang; Xiuju Fu
Название: Data Mining with Computational Intelligence
ISBN: 364206387X ISBN-13(EAN): 9783642063879
Издательство: Springer
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Цена: 130430.00 T
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Описание: MLP Neural Networks for Time-Series Prediction and Classification.- Fuzzy Neural Networks for Bioinformatics.- An Improved RBF Neural Network Classifier.- Attribute Importance Ranking for Data Dimensionality Reduction.- Genetic Algorithms for Class-Dependent Feature Selection.- Rule Extraction from RBF Neural Networks.- A Hybrid Neural Network For Protein Secondary Structure Prediction.- Support Vector Machines for Prediction.- Rule Extraction from Support Vector Machines.


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