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Swarm Intelligence in Data Mining, Ajith Abraham; Crina Grosan; Vitorino Ramos


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Автор: Ajith Abraham; Crina Grosan; Vitorino Ramos
Название:  Swarm Intelligence in Data Mining
ISBN: 9783642071171
Издательство: Springer
Классификация: ISBN-10: 3642071171
Обложка/Формат: Paperback
Страницы: 268
Вес: 0.41 кг.
Дата издания: 2006
Серия: Studies in Computational Intelligence
Язык: English
Размер: 234 x 156 x 15
Читательская аудитория: Science
Ссылка на Издательство: Link
Поставляется из: Германии
Описание: Swarm Intelligence in Data Mining.- Ants Constructing Rule-Based Classifiers.- Performing Feature Selection with ACO.- Simultaneous Ant Colony Optimization Algorithms for Learning Linguistic Fuzzy Rules.- Ant Colony Clustering and Feature Extraction for Anomaly Intrusion Detection.- Particle Swarm Optimization for Pattern Recognition and Image Processing.- Data and Text Mining with Hierarchical Clustering Ants.- Swarm Clustering Based on Flowers Pollination by Artificial Bees.- Computer study of the evolution of news foragers on the Internet.- Data Swarm Clustering.- Clustering Ensemble Using ANT and ART.


Swarm Intelligence for Multi-objective Problems in Data Mining

Автор: Carlos Coello Coello; Satchidananda Dehuri; Susmit
Название: Swarm Intelligence for Multi-objective Problems in Data Mining
ISBN: 3642260535 ISBN-13(EAN): 9783642260537
Издательство: Springer
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Цена: 29209.00 р.
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Описание: The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining.

GPU-based Parallel Implementation of Swarm Intelligence Algorithm

Автор: Ying Tan
Название: GPU-based Parallel Implementation of Swarm Intelligence Algorithm
ISBN: 0128093625 ISBN-13(EAN): 9780128093627
Издательство: Elsevier Science
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Цена: 13304.00 р.
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Описание: . GPU-based Parallel Implementation of Swarm Intelligence Algorithms combines and covers two emerging areas attracting increased attention and applications: graphics processing units (GPUs) for general-purpose computing (GPGPU) and swarm intelligence. This book not only presents GPGPU in adequate detail, but also includes guidance on the appropriate implementation of swarm intelligence algorithms on the GPU platform. GPU-based implementations of several typical swarm intelligence algorithms such as PSO, FWA, GA, DE, and ACO are presented and having described the implementation details including parallel models, implementation considerations as well as performance metrics are discussed. Finally, several typical applications of GPU-based swarm intelligence algorithms are presented. This valuable reference book provides a unique perspective not possible by studying either GPGPU or swarm intelligence alone. . This book gives a complete and whole picture for interested readers and new comers who will find many implementation algorithms in the book suitable for immediate use in their projects. Additionally, some algorithms can also be used as a starting point for further research.

Swarm Intelligence

Автор: Dorigo
Название: Swarm Intelligence
ISBN: 3319444263 ISBN-13(EAN): 9783319444260
Издательство: Springer
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Цена: 8106.00 р.
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Описание: This book constitutes the proceedings of the 10th International Conference on Swarm Intelligence, ANTS 2016, held in Brussels, Belgium, in September 2016. The 18 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 47 submissions.

Swarm intelligence

Автор: Bonabeau, Eric Dorigo, Marco (researcher, Free Uni
Название: Swarm intelligence
ISBN: 0195131592 ISBN-13(EAN): 9780195131598
Издательство: Oxford Academ
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Цена: 10138.00 р.
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Описание: Presents a combination of biology and computer science (including artificial intelligence, robotics, operations research, information display, and computer graphics), modelling the mechanisms underlying collective behaviour in social insects. This work talks about swarm intelligence, a subfield of artificial intelligence.

Swarm Intelligence for Multi-objective Problems in Data Mining

Автор: Carlos Coello Coello; Satchidananda Dehuri; Susmit
Название: Swarm Intelligence for Multi-objective Problems in Data Mining
ISBN: 3642036244 ISBN-13(EAN): 9783642036248
Издательство: Springer
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Цена: 29209.00 р.
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Описание: The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining.

Innovations in Swarm Intelligence

Автор: Chee Peng Lim; Satchidananda Dehuri
Название: Innovations in Swarm Intelligence
ISBN: 364226056X ISBN-13(EAN): 9783642260568
Издательство: Springer
Цена: 23757.00 р.
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Описание: Advances in Swarm Intelligence.- A Review of Particle Swarm Optimization Methods Used for Multimodal Optimization.- Bee Colony Optimization (BCO).- Glowworm Swarm Optimization for Searching Higher Dimensional Spaces.- Agent Specialization in Complex Social Swarms.- Computational Complexity of Ant Colony Optimization and Its Hybridization with Local Search.- A Multi-resolution GA-PSO Layered Encoding Cascade Optimization Model.- Integrating Swarm Intelligent Algorithms for Translation Initiation Sites Prediction.- Particle Swarm Optimization for Optimal Operational Planning of Energy Plants.- Modelling Nanorobot Control Using Swarm Intelligence: A Pilot Study.- ACO Hybrid Algorithm for Document Classification System.- Identifying Disease-Related Biomarkers by Studying Social Networks of Genes.

Swarm Intelligence Based Optimization

Автор: Siarry
Название: Swarm Intelligence Based Optimization
ISBN: 3319503065 ISBN-13(EAN): 9783319503066
Издательство: Springer
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Цена: 5870.00 р.
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Swarm Intelligence Based Optimization, ICSIBO 2016, held in Mulhouse, France, in June 2016.

Emerging Research On Swarm Intelligence And Algorithm Optimization

Автор: Shi
Название: Emerging Research On Swarm Intelligence And Algorithm Optimization
ISBN: 1466663286 ISBN-13(EAN): 9781466663282
Издательство: Mare Nostrum (Eurospan)
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Цена: 32848.00 р.
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Описание: Throughout time, scientists have looked to nature in order to understand and model solutions for complex real-world problems. In particular, the study of self-organizing entities, such as social insect populations, presents a new opportunity within the field of artificial intelligence.>Emerging Research on Swarm Intelligence and Algorithm Optimization discusses current research analyzing how the collective behavior of decentralized systems in the natural world can be applied to intelligent system design. Discussing the application of swarm principles, optimization techniques, and key algorithms being used in the field, this publication serves as an essential reference for academicians, upper-level students, IT developers, and IT theorists.

Innovations in Swarm Intelligence

Автор: Chee Peng Lim; Satchidananda Dehuri
Название: Innovations in Swarm Intelligence
ISBN: 3642042244 ISBN-13(EAN): 9783642042249
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Recent innovations in the field of swarm intelligence are presented in this comprehensive review. Various topics, such as ant colony optimization and complex social swarms are discussed, as well as swarm intelligence models and applications.

Handbook Of Research On Swarm Intelligence In Engineering

Автор: Bhattacharyya & Dutta
Название: Handbook Of Research On Swarm Intelligence In Engineering
ISBN: 1466682914 ISBN-13(EAN): 9781466682917
Издательство: Mare Nostrum (Eurospan)
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Цена: 48787.00 р.
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Описание: Swarm Intelligence has recently emerged as a next-generation methodology belonging to the class of evolutionary computing. As a result, scientists have been able to explain and understand real-life processes and practices that previously remained unexplored.The Handbook of Research on Swarm Intelligence in Engineering presents the latest research being conducted on diverse topics in intelligence technologies such as Swarm Intelligence, Machine Intelligence, Optical Engineering, and Signal Processing with the goal of advancing knowledge and applications in this rapidly evolving field. The enriched interdisciplinary contents of this book will be a subject of interest to the widest forum of faculties, existing research communities, and new research aspirants from a multitude of disciplines and trades.


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