Evolutionary Decision Trees in Large-Scale Data Mining, Marek Kretowski

Автор: Hameurlain
Название: Transactions on Large-Scale Data- and Knowledge-Centered Systems XXX
ISBN: 3662540533 ISBN-13(EAN): 9783662540534
Издательство: Springer
Рейтинг:
Цена: 52170.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This, the 30th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains six in-depth papers focusing on the subject of cloud computing. Topics covered within this context include cloud storage, model-driven development, informative modeling, and security-critical systems.

Автор: Ashish Ghosh
Название: Evolutionary Computation in Data Mining
ISBN: 3642421954 ISBN-13(EAN): 9783642421952
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data mining (DM) consists of extracting interesting knowledge from re- world, large & complex data sets; The goal of data preprocessing methods is to transform the data to facilitate the application of a (or several) given DM algorithm(s), whereas the goal of knowledge refinement methods is to validate and refine discovered knowledge.

Автор: Kretowski Marek
Название: Evolutionary Decision Trees in Large-Scale Data Mining
ISBN: 3030218538 ISBN-13(EAN): 9783030218539
Издательство: Springer
Рейтинг:
Цена: 121110.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a unified framework, based on specialized evolutionary algorithms, for the global induction of various types of classification and regression trees from data. cost-sensitive model trees for financial data or multi-test trees for gene expression data.

Автор: Clara Pizzuti; Marylyn D. Ritchie; Mario Giacobini
Название: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
ISBN: 3642011837 ISBN-13(EAN): 9783642011832
Издательство: Springer
Рейтинг:
Цена: 65210.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2009, held in Tubingen, Germany, in April 2009 co located with the Evo 2009 events. This book includes such topics as biomarker discovery, cell simulation and modeling, and ecological modeling.

Автор: Joanna Ko?odziej
Название: Evolutionary Hierarchical Multi-Criteria Metaheuristics for Scheduling in Large-Scale Grid Systems
ISBN: 3642436617 ISBN-13(EAN): 9783642436611
Издательство: Springer
Рейтинг:
Цена: 104480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores hot topics in the design, administration and management of dynamic grid environments. The emphasis is on preferences and autonomous decisions of system users, secure access to processed data and services and the use of green technologies.

Автор: Eaton Malachy
Название: Computers, People, and Thought: From Data Mining to Evolutionary Robotics
ISBN: 3030552993 ISBN-13(EAN): 9783030552992
Издательство: Springer
Рейтинг:
Цена: 74530.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this book the author discusses synergies between computers and thought, related to the field of Artificial Intelligence;

Автор: Eaton Malachy
Название: Computers, People, and Thought: From Data Mining to Evolutionary Robotics
ISBN: 3030553027 ISBN-13(EAN): 9783030553029
Издательство: Springer
Рейтинг:
Цена: 74530.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this book the author discusses synergies between computers and thought, related to the field of Artificial Intelligence;

Автор: Pascal Bouvry; Horacio Gonz?lez-V?lez; Joanna Ko?o
Название: Intelligent Decision Systems in Large-Scale Distributed Environments
ISBN: 3662506866 ISBN-13(EAN): 9783662506868
Издательство: Springer
Рейтинг:
Цена: 174130.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Readers will find here a wealth of analysis and a host of ideas relating to the implementation and evaluation of intelligent, next-generation techniques for solving complex decision making problems in tomorrow`s large-scale distributed computer systems.

Автор: Dunja Mladenic; Nada Lavra?; Marko Bohanec; Steve
Название: Data Mining and Decision Support
ISBN: 1461350042 ISBN-13(EAN): 9781461350040
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Автор: Jin Yaochu, Wang Handing, Sun Chaoli
Название: Data-Driven Evolutionary Optimization: Integrating Evolutionary Computation, Machine Learning and Data Science
ISBN: 3030746399 ISBN-13(EAN): 9783030746391
Издательство: Springer
Цена: 149060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is followed by a presentation of a variety of data-driven single- and multi-objective optimization algorithms that seamlessly integrate modern machine learning such as deep learning and transfer learning with evolutionary and swarm optimization algorithms.

Автор: Aljarah Ibrahim, Faris Hossam, Mirjalili Seyedali
Название: Evolutionary Data Clustering: Algorithms and Applications
ISBN: 9813341939 ISBN-13(EAN): 9789813341937
Издательство: Springer
Рейтинг:
Цена: 167700.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It features a range of proven and recent nature-inspired algorithms used to data clustering, including particle swarm optimization, ant colony optimization, grey wolf optimizer, salp swarm algorithm, multi-verse optimizer, Harris hawks optimization, beta-hill climbing optimization.

Автор: Editors: Deo, R., Samui, P., Kisi, O., Zaher, Y.
Название: Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation
ISBN: 9811557713 ISBN-13(EAN): 9789811557712
Издательство: Springer
Рейтинг:
Цена: 167700.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights cutting-edge applications of machine learning techniques for disaster management by monitoring, analyzing, and forecasting hydro-meteorological variables.