Recent Advances in Hybrid Metaheuristics for Data Clustering, de Sourav, Dey Sandip, Bhattacharyya Siddhartha
Автор: Maria J. Blesa Aguilera; Christian Blum; Haroldo G Название: Hybrid Metaheuristics ISBN: 3030059820 ISBN-13(EAN): 9783030059828 Издательство: Springer Рейтинг: Цена: 8104.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 11th International Workshop on Hybrid Metaheuristics, HM 2019, held in Concepci?n, Chile, in January 2019. The 11 revised full papers and 5 short papers presented were carefully reviewed and selected from 23 submissions. The papers present hybridization strategies and explore the integration of new techniques coming from other areas of expertise. They cover a variety of topics such as low-level hybridization, high-level hybridization, portfolio techniques, cooperative search, and theoretical aspects of hybridization.
Описание: This book is published open access under a CC BY 4.0 license. It covers aspects of unsupervised machine learning used for knowledge discovery in data science and introduces a data-driven approach to cluster analysis, the Databionic swarm (DBS).
Описание: This handbook reflects the tremendous growth in the field, over the past two decades. Through contributions from leading experts, this handbook provides a comprehensive introduction to the underlying theory and methodologies, as well as the various applications of approximation algorithms and metaheuristics.
Автор: Christian Blum; Carlos Cotta; Antonio Jos? Fern?nd Название: Hybrid Metaheuristics ISBN: 3540884386 ISBN-13(EAN): 9783540884385 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 5th International Workshop on Hybrid Metaheuristics, HM 2008, held in Dortmund, Germany, in October 2008. This book discusses specific aspects of combinations of metaheuristics and other solving techniques for tackling particular relevant constrained optimization problems, such as fiber optic networks.
Автор: Christian Blum; G?nther R. Raidl Название: Hybrid Metaheuristics ISBN: 3319308823 ISBN-13(EAN): 9783319308821 Издательство: Springer Рейтинг: Цена: 10760.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Maria J. Blesa; Christian Blum; Angelo Cangelosi; Название: Hybrid Metaheuristics ISBN: 3319396358 ISBN-13(EAN): 9783319396354 Издательство: Springer Рейтинг: Цена: 6988.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 10th International Workshop on Hybrid Metaheuristics, HM 2016, held in Plymouth, UK, in June 2016. The 15 revised full papers presented were carefully reviewed and selected from 43 submissions.
Автор: Maria J. Blesa; Christian Blum; Stefan Vo? Название: Hybrid Metaheuristics ISBN: 3319076434 ISBN-13(EAN): 9783319076430 Издательство: Springer Рейтинг: Цена: 8803.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 9th International Workshop on Hybrid Metaheuristics, HM 2014, held in Hamburg, Germany, in June 2014.
Автор: Jourdan Название: Metaheuristics for Big Data ISBN: 1848218060 ISBN-13(EAN): 9781848218062 Издательство: Wiley Рейтинг: Цена: 22010.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Big Data is a new field, with many technological challenges to be understood in order to use it to its full potential. These challenges arise at all stages of working with Big Data, beginning with data generation and acquisition.
Автор: Ponce Cruz, Pedro , Guti?rrez, Arturo Molina , R Название: A Practical Approach to Metaheuristics using LabVIEW and MATLAB® ISBN: 0367494264 ISBN-13(EAN): 9780367494261 Издательство: Taylor&Francis Рейтинг: Цена: 12095.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes and implements metaheuristic algorithms, using a practical approach in which engineering problems are solved. A novel optimization algorithm, called Earthquake optimization, is presented as a main example. Since this algorithm is used for earthquake modeling, a geological optimization strategy is demonstrated.
Автор: Ponce Cruz, Pedro , Guti?rrez, Arturo Molina , R Название: A Practical Approach to Metaheuristics using LabVIEW and MATLAB® ISBN: 0367337045 ISBN-13(EAN): 9780367337049 Издательство: Taylor&Francis Рейтинг: Цена: 8726.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes and implements metaheuristic algorithms, using a practical approach in which engineering problems are solved. A novel optimization algorithm, called Earthquake optimization, is presented as a main example. Since this algorithm is used for earthquake modeling, a geological optimization strategy is demonstrated.
Автор: Francesco Masulli; Alfredo Petrosino; Stefano Rove Название: Clustering High--Dimensional Data ISBN: 3662485761 ISBN-13(EAN): 9783662485767 Издательство: Springer Рейтинг: Цена: 5590.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the International Workshop on Clustering High-Dimensional Data, CHDD 2012, held in Naples, Italy, in May 2012. and the most common approach to tackle dimensionality problems, namely, dimensionality reduction and its application in clustering.
Автор: Lei Meng; Ah-Hwee Tan; Donald C. Wunsch II Название: Adaptive Resonance Theory in Social Media Data Clustering ISBN: 3030029840 ISBN-13(EAN): 9783030029845 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Social media data contains our communication and online sharing, mirroring our daily life. This book looks at how we can use and what we can discover from such big data:Basic knowledge (data & challenges) on social media analyticsClustering as a fundamental technique for unsupervised knowledge discovery and data miningA class of neural inspired algorithms, based on adaptive resonance theory (ART), tackling challenges in big social media data clustering Step-by-step practices of developing unsupervised machine learning algorithms for real-world applications in social media domainAdaptive Resonance Theory in Social Media Data Clustering stands on the fundamental breakthrough in cognitive and neural theory, i.e. adaptive resonance theory, which simulates how a brain processes information to perform memory, learning, recognition, and prediction.It presents initiatives on the mathematical demonstration of ART’s learning mechanisms in clustering, and illustrates how to extend the base ART model to handle the complexity and characteristics of social media data and perform associative analytical tasks.Both cutting-edge research and real-world practices on machine learning and social media analytics are included in the book and if you wish to learn the answers to the following questions, this book is for you:How to process big streams of multimedia data?How to analyze social networks with heterogeneous data?How to understand a user’s interests by learning from online posts and behaviors?How to create a personalized search engine by automatically indexing and searching multimodal information resources? .
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