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Pattern Mining with Evolutionary Algorithms, Ventura Sebastiбn, Luna Josй Marнa


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Автор: Ventura Sebastiбn, Luna Josй Marнa
Название:  Pattern Mining with Evolutionary Algorithms
ISBN: 9783319816180
Издательство: Springer
Классификация:


ISBN-10: 3319816187
Обложка/Формат: Paperback
Страницы: 190
Вес: 0.29 кг.
Дата издания: 07.06.2018
Язык: English
Издание: Softcover reprint of
Иллюстрации: 4 illustrations, color; 122 illustrations, black and white; xiii, 190 p. 126 illus., 4 illus. in color.
Размер: 23.39 x 15.60 x 1.12 cm
Читательская аудитория: General (us: trade)
Ссылка на Издательство: Link
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Поставляется из: Германии

Pattern Mining with Evolutionary Algorithms

Автор: Ventura
Название: Pattern Mining with Evolutionary Algorithms
ISBN: 3319338579 ISBN-13(EAN): 9783319338576
Издательство: Springer
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Цена: 88500.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

This book provides a comprehensive overview of the field of pattern mining with evolutionary algorithms. To do so, it covers formal definitions about patterns, patterns mining, type of patterns and the usefulness of patterns in the knowledge discovery process. As it is described within the book, the discovery process suffers from both high runtime and memory requirements, especially when high dimensional datasets are analyzed. To solve this issue, many pruning strategies have been developed. Nevertheless, with the growing interest in the storage of information, more and more datasets comprise such a dimensionality that the discovery of interesting patterns becomes a challenging process. In this regard, the use of evolutionary algorithms for mining pattern enables the computation capacity to be reduced, providing sufficiently good solutions.
This book offers a survey on evolutionary computation with particular emphasis on genetic algorithms and genetic programming. Also included is an analysis of the set of quality measures most widely used in the field of pattern mining with evolutionary algorithms. This book serves as a review of the most important evolutionary algorithms for pattern mining. It considers the analysis of different algorithms for mining different type of patterns and relationships between patterns, such as frequent patterns, infrequent patterns, patterns defined in a continuous domain, or even positive and negative patterns.
A completely new problem in the pattern mining field, mining of exceptional relationships between patterns, is discussed. In this problem the goal is to identify patterns which distribution is exceptionally different from the distribution in the complete set of data records. Finally, the book deals with the subgroup discovery task, a method to identify a subgroup of interesting patterns that is related to a dependent variable or target attribute. This subgroup of patterns satisfies two essential conditions: interpretability and interestingness.

Evolutionary Algorithms: An Overview

Автор: Petrowski
Название: Evolutionary Algorithms: An Overview
ISBN: 1848218044 ISBN-13(EAN): 9781848218048
Издательство: Wiley
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Цена: 146730.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Evolutionary algorithms are bio-inspired algorithms based on Darwin s theory of evolution. They are expected to provide non-optimal but good quality solutions to problems whose resolution is impracticable by exact methods.

Evolutionary Algorithms, Swarm Dynamics and Complex Networks

Автор: Ivan Zelinka; Guanrong Chen
Название: Evolutionary Algorithms, Swarm Dynamics and Complex Networks
ISBN: 3662556618 ISBN-13(EAN): 9783662556610
Издательство: Springer
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Цена: 139750.00 T
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Описание: In this book, based on many years of intensive research of the authors, is proposing novel ideas about advancing evolutionary dynamics towards new phenomena including many new topics, even the dynamics of equivalent social networks.

Hands-On Data Structures and Algorithms with Python 2 ed

Автор: Agarwal, Dr Basant, Baka, Benjamin
Название: Hands-On Data Structures and Algorithms with Python 2 ed
ISBN: 1788995570 ISBN-13(EAN): 9781788995573
Издательство: Неизвестно
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Цена: 53940.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data structures help us to organize and align the data in a very efficient way. This book will surely help you to learn important and essential data structures through Python implementation for better understanding of the concepts.

Evolutionary Computation in Gene Regulatory Network Research

Автор: Hitoshi Iba, Nasimul Noman
Название: Evolutionary Computation in Gene Regulatory Network Research
ISBN: 1118911512 ISBN-13(EAN): 9781118911518
Издательство: Wiley
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Цена: 128780.00 T
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Описание: Introducing a handbook for gene regulatory network research using evolutionary computation, with applications for computer scientists, computational and system biologists This book is a step-by-step guideline for research in gene regulatory networks (GRN) using evolutionary computation (EC).

Decomposition-based evolutionary optimization in complex environments /

Автор: Li, Juan
Название: Decomposition-based evolutionary optimization in complex environments /
ISBN: 9811218986 ISBN-13(EAN): 9789811218989
Издательство: World Scientific Publishing
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Цена: 95040.00 T
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Описание: Multi-objective optimization problems (MOPs) and uncertain optimization problems (UOPs) which widely exist in real life are challengeable problems in the fields of decision making, system designing, and scheduling, amongst others. Decomposition exploits the ideas of aEURO~making things simpleaEURO (TM) and aEURO~divide and conqueraEURO (TM) to transform a complex problem into a series of simple ones with the aim of reducing the computational complexity. In order to tackle the abovementioned two types of complicated optimization problems, this book introduces the decomposition strategy and conducts a systematic study to perfect the usage of decomposition in the field of multi-objective optimization, and extend the usage of decomposition in the field of uncertain optimization.


Pattern recognition on oriented matroids /

Автор: Matveev, Andrey O.,
Название: Pattern recognition on oriented matroids /
ISBN: 3110530716 ISBN-13(EAN): 9783110530711
Издательство: Walter de Gruyter
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Цена: 123910.00 T
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Описание:

Pattern Recognition on Oriented Matroids covers a range of innovative problems in combinatorics, poset and graph theories, optimization, and number theory that constitute a far-reaching extension of the arsenal of committee methods in pattern recognition. The groundwork for the modern committee theory was laid in the mid-1960s, when it was shown that the familiar notion of solution to a feasible system of linear inequalities has ingenious analogues which can serve as collective solutions to infeasible systems. A hierarchy of dialects in the language of mathematics, for instance, open cones in the context of linear inequality systems, regions of hyperplane arrangements, and maximal covectors (or topes) of oriented matroids, provides an excellent opportunity to take a fresh look at the infeasible system of homogeneous strict linear inequalities - the standard working model for the contradictory two-class pattern recognition problem in its geometric setting. The universal language of oriented matroid theory considerably simplifies a structural and enumerative analysis of applied aspects of the infeasibility phenomenon.

The present book is devoted to several selected topics in the emerging theory of pattern recognition on oriented matroids: the questions of existence and applicability of matroidal generalizations of committee decision rules and related graph-theoretic constructions to oriented matroids with very weak restrictions on their structural properties; a study (in which, in particular, interesting subsequences of the Farey sequence appear naturally) of the hierarchy of the corresponding tope committees; a description of the three-tope committees that are the most attractive approximation to the notion of solution to an infeasible system of linear constraints; an application of convexity in oriented matroids as well as blocker constructions in combinatorial optimization and in poset theory to enumerative problems on tope committees; an attempt to clarify how elementary changes (one-element reorientations) in an oriented matroid affect the family of its tope committees; a discrete Fourier analysis of the important family of critical tope committees through rank and distance relations in the tope poset and the tope graph; the characterization of a key combinatorial role played by the symmetric cycles in hypercube graphs.

Contents
Oriented Matroids, the Pattern Recognition Problem, and Tope Committees
Boolean Intervals
Dehn-Sommerville Type Relations
Farey Subsequences
Blocking Sets of Set Families, and Absolute Blocking Constructions in Posets
Committees of Set Families, and Relative Blocking Constructions in Posets
Layers of Tope Committees
Three-Tope Committees
Halfspaces, Convex Sets, and Tope Committees
Tope Committees and Reorientations of Oriented Matroids
Topes and Critical Committees
Critical Committees and Distance Signals
Symmetric Cycles in the Hypercube Graphs


Non-linear Data Structures and Data Processing

Автор: Xingni Zhou, Zhiyuan Ren, Yanzhuo Ma, Kai Fan, Ji Xiang
Название: Non-linear Data Structures and Data Processing
ISBN: 3110676052 ISBN-13(EAN): 9783110676051
Издательство: Walter de Gruyter
Цена: 80520.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

The systematic description starts with basic theory and applications of different kinds of data structures, including storage structures and models. It also explores on data processing methods such as sorting, index and search technologies. Due to its numerous exercises the book is a helpful reference for graduate students, lecturers.


Data structures based on linear relations

Автор: Xingni Zhou, Zhiyuan Ren, Yanzhuo Ma, Kai Fan, Ji Xiang
Название: Data structures based on linear relations
ISBN: 3110595575 ISBN-13(EAN): 9783110595574
Издательство: Walter de Gruyter
Цена: 80520.00 T
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Описание:

Data structures is a key course for computer science and related majors. This book presents a variety of practical or engineering cases and derives abstract concepts from concrete problems. Besides basic concepts and analysis methods, it introduces basic data types such as sequential list, tree as well as graph. This book can be used as an undergraduate textbook, as a training textbook or a self-study textbook for engineers.


Автор: Ji Xiang, Kai Fan, Xingni Zhou, Yanzhuo Ma, zhiyuan Ren
Название: [Set Data Structures and Algorithms Analysis, Vol 1+2]
ISBN: 311068165X ISBN-13(EAN): 9783110681659
Издательство: Walter de Gruyter
Рейтинг:
Цена: 128870.00 T
Наличие на складе: Нет в наличии.
Описание:

The systematic description starts with basic theory and applications of different kinds of data structures, including storage structures and models. It also explores on data processing methods such as sorting, index and search technologies. Due to its numerous exercises the book is a helpful reference for graduate students, lecturers.


Multiobjective Evolutionary Algorithms and Applications

Автор: Kay Chen Tan; Eik Fun Khor; Tong Heng Lee
Название: Multiobjective Evolutionary Algorithms and Applications
ISBN: 1849969353 ISBN-13(EAN): 9781849969352
Издательство: Springer
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Цена: 153720.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Evolutionary multiobjective optimization is currently gaining a lot of attention, particularly for researchers in the evolutionary computation communities. Covers the authors` recent research in the area of multiobjective evolutionary algorithms as well as its practical applications.

Evolutionary Algorithms and Chaotic Systems

Автор: Ivan Zelinka; Sergej Celikovsk?; Hendrik Richter;
Название: Evolutionary Algorithms and Chaotic Systems
ISBN: 3642262554 ISBN-13(EAN): 9783642262555
Издательство: Springer
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Цена: 278580.00 T
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Описание: This book discusses the mutual intersection of two fields of research: evolutionary computation, which can handle tasks such as control of various chaotic systems, and deterministic chaos, which is investigated as a behavioral part of evolutionary algorithms.


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