Classification De Donnees Par Algorithmes Evolutionnistes Book PDF, EPUB Download & Read Online Free

Revue économique
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Year: 2009
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L'analyse des données
Author: J.-P. Benzécri, L. Bellier
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Pages: 631
Year: 1976
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Finding Groups in Data
Author: Leonard Kaufman, Peter J. Rousseeuw
Publisher: John Wiley & Sons
ISBN: 0470317485
Pages: 342
Year: 2009-09-25
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The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "Cluster analysis is the increasingly important and practical subject of finding groupings in data. The authors set out to write a book for the user who does not necessarily have an extensive background in mathematics. They succeed very well." —Mathematical Reviews "Finding Groups in Data [is] a clear, readable, and interesting presentation of a small number of clustering methods. In addition, the book introduced some interesting innovations of applied value to clustering literature." —Journal of Classification "This is a very good, easy-to-read, and practical book. It has many nice features and is highly recommended for students and practitioners in various fields of study." —Technometrics An introduction to the practical application of cluster analysis, this text presents a selection of methods that together can deal with most applications. These methods are chosen for their robustness, consistency, and general applicability. This book discusses various types of data, including interval-scaled and binary variables as well as similarity data, and explains how these can be transformed prior to clustering.
Optimization in Engineering Sciences
Author: Pierre Borne, Dumitru Popescu, Florin Gheorghe Filip, Dan Stefanoiu
Publisher: John Wiley & Sons
ISBN: 1118577841
Pages: 336
Year: 2013-01-24
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The purpose of this book is to present the main methods of static and dynamic optimization. It has been written within the framework of the European Union project – ERRIC (Empowering Romanian Research on Intelligent Information Technologies), funded by the EU’s FP7 Research Potential program and developed in cooperation between French and Romanian teaching researchers. Through the principles of various proposed algorithms (with additional references) this book allows the interested reader to explore various methods of implementation such as linear programming, nonlinear programming – particularly important given the wide variety of existing algorithms, dynamic programming with various application examples and Hopfield networks. The book examines optimization in relation to systems identification; optimization of dynamic systems with particular application to process control; optimization of large scale and complex systems; optimization and information systems.
Bulletin de L'Institut International de Statistique
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Year: 2003
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Includes the Compte rendu of the institute's sessions; no sessions held 1914-22.
Bulletin signalétique des télécommunications
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Year: 1988-07
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Evolved to Win
Author: Moshe Sipper
Publisher: Lulu.com
ISBN: 1470972832
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Dictionnaire des Idées
Author: Encyclopaedia Universalis
Publisher: Encyclopaedia Universalis
ISBN: 2852299348
Pages: 2317
Year: 2015-10-27
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Premier ouvrage en son genre, le Dictionnaire des Idées répertorie et explique l’ensemble des idées qui permettent de comprendre le monde d’hier et d’aujourd’hui. Et ce dans tous les domaines du savoir : politique, économie, philosophie, religion, mais aussi arts, littérature, musique, physique ou chimie, astronomie, mathématique, etc. Qu’il s’agisse de courants et mouvements marquants, de pensées novatrices, d’écoles, d’académies, de filiations, d’idéologies, de traditions, de révolutions, de partis, de croyances..., le Dictionnaire des Idées présente et commente 400 idées fondamentales : Anarchisme, Cartésianisme, Chiisme, Constructivisme, Dérive des continents, École de Vienne, Encyclopédisme, Figuralisme, Hindouisme, Hippocratisme, Keynésianisme, Kitsch, Lacanisme, Réalisme socialiste, Shinto, Subaltern Studies, Surréalisme... Un ouvrage de référence inédit pour apprendre à décrypter les grilles de lecture de notre monde. À PROPOS DE L'ÉDITEUR Encyclopædia Universalis édite depuis 1968 un fonds éditorial à partir de son produit principal : l’encyclopédie du même nom.Dédiée à la recherche documentaire, la culture générale et l’enseignement, l’Encyclopædia Universalis est la plus importante encyclopédie généraliste de langue française et une des plus renommées du monde, équivalant à la célèbre encyclopédie américaine Encyclopædia Britannica. Encyclopædia Universalis développe et maintient une politique éditoriale très exigeante, ce qui lui confère le statut d’encyclopédie de référence. Depuis sa création, plus de 7 400 auteurs spécialistes de renommée internationale, parmi lesquels de très nombreux universitaires tous choisis pour leur expertise, sont venus enrichir et garantir la qualité du fonds éditorial de l’entreprise.Son savoir-faire est également technique. Dès 1995, l’encyclopédie a été développée sur support numérique. Ses contenus sont aujourd’hui disponibles sur Internet, e-books, et DVD-Rom. Ils sont accessibles sur ordinateur, tablette ou smartphone. L’entreprise a conçu un moteur de recherche exclusif et ultraperformant qui permet aux utilisateurs d’obtenir des résultats incroyablement précis, grâce à plusieurs modes de recherche (par mot clé, par thème, par média...). Forte de ces atouts, Encyclopædia Universalis s’adresse à la fois à l’ensemble des particuliers et au monde de l’éducation.Un partenariat a été développé avec l’Éducation nationale dès 1999 pour mettre à la disposition des établissements secondaires et des universités une version adaptée du fonds encyclopédique. Une nouvelle encyclopédie a ensuite été conçue pour les écoles élémentaires. Encyclopædia Universalis se positionne aujourd’hui comme un acteur essentiel dans le nouveau panorama de l’éducation numérique.
Classification and Regression Trees
Author: Leo Breiman
Publisher: Routledge
ISBN: 135146048X
Pages: 368
Year: 2017-10-19
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The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable before computers. Both the practical and theoretical sides have been developed in the authors' study of tree methods. Classification and Regression Trees reflects these two sides, covering the use of trees as a data analysis method, and in a more mathematical framework, proving some of their fundamental properties.
Data Mining With Decision Trees: Theory And Applications (2nd Edition)
Author: Maimon Oded Z, Rokach Lior
Publisher: World Scientific
ISBN: 9814590096
Pages: 328
Year: 2014-09-03
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Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover useful patterns. Decision tree learning continues to evolve over time. Existing methods are constantly being improved and new methods introduced.This 2nd Edition is dedicated entirely to the field of decision trees in data mining; to cover all aspects of this important technique, as well as improved or new methods and techniques developed after the publication of our first edition. In this new edition, all chapters have been revised and new topics brought in. New topics include Cost-Sensitive Active Learning, Learning with Uncertain and Imbalanced Data, Using Decision Trees beyond Classification Tasks, Privacy Preserving Decision Tree Learning, Lessons Learned from Comparative Studies, and Learning Decision Trees for Big Data. A walk-through guide to existing open-source data mining software is also included in this edition.This book invites readers to explore the many benefits in data mining that decision trees offer:
C4.5
Author: John Ross Quinlan
Publisher: Morgan Kaufmann
ISBN: 1558602380
Pages: 302
Year: 1993
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This book is a complete guide to the C4.5 system as implemented in C for the UNIX environment. It contains a comprehensive guide to the system's use, the source code (about 8,800 lines), and implementation notes.
Scatter Search
Author: Manuel Laguna, Rafael Martí
Publisher: Springer Science & Business Media
ISBN: 146150337X
Pages: 291
Year: 2012-12-06
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The book Scatter Search by Manuel Laguna and Rafael Mart! represents a long-awaited "missing link" in the literature of evolutionary methods. Scatter Search (SS)-together with its generalized form called Path Relinking-constitutes the only evolutionary approach that embraces a collection of principles from Tabu Search (TS), an approach popularly regarded to be divorced from evolutionary procedures. The TS perspective, which is responsible for introducing adaptive memory strategies into the metaheuristic literature (at purposeful level beyond simple inheritance mechanisms), may at first seem to be at odds with population-based approaches. Yet this perspective equips SS with a remarkably effective foundation for solving a wide range of practical problems. The successes documented by Scatter Search come not so much from the adoption of adaptive memory in the range of ways proposed in Tabu Search (except where, as often happens, SS is advantageously coupled with TS), but from the use of strategic ideas initially proposed for exploiting adaptive memory, which blend harmoniously with the structure of Scatter Search. From a historical perspective, the dedicated use of heuristic strategies both to guide the process of combining solutions and to enhance the quality of offspring has been heralded as a key innovation in evolutionary methods, giving rise to what are sometimes called "hybrid" (or "memetic") evolutionary procedures. The underlying processes have been introduced into the mainstream of evolutionary methods (such as genetic algorithms, for example) by a series of gradual steps beginning in the late 1980s.
Nouvelle Technologie Pour Depot Des Couches Minces
Author: Abdelfatah Nasri
Publisher: Academiques
ISBN: 383817397X
Pages:
Year: 2012
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Mechatronic Design in Textile Engineering
Author: M. Acar
Publisher: Springer Science & Business Media
ISBN: 9401102252
Pages: 311
Year: 2012-12-06
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Mechatronic Design in Textile Engineering contains a selection of contributions to the NATO ASI which took place in April 1992, in Turkey. In addition to the introductory sections on the mechatronics concept and design methodology and the impact of advance in technology on the mechatronics concept; the importance of the mechatronic design in the textile industries is highlighted, together with many examples. These include: mechatronics in the design of textile machinery, such as 3-D braiding; weaving and LAN systems for weaving; yarn tension compensation; texturing; spinning: measurement automation and diagnosis, knowledge-based expert systems; automated garment manufacture and assembly; and apparel manufacture. The book is unique in that it brings together many applications of mechatronics in textile machinery and system design. In that respect it will serve as a reference book for designers as well as for students of textile technology and engineering.
The Elements of Statistical Learning
Author: Trevor Hastie, Robert Tibshirani, Jerome Friedman
Publisher: Springer Science & Business Media
ISBN: 0387216065
Pages: 536
Year: 2013-11-11
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During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.