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Ajouter au panierEtat : Used. pp. 328 Illus.
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Ajouter au panierTaschenbuch. Etat : Neu. A method for development of medical data mining | Design and prototypical implementation of an integrated database system for the analysis of medical parameters | Ksenia Kharadzhieva | Taschenbuch | 108 S. | Englisch | 2014 | AV Akademikerverlag | EAN 9783639641615 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Ajouter au panierEtat : New. Illustrates that advanced fuzzy clustering algorithms can be used not only for partitioning of the data. This title is suitable for visualization, regression, classification and time-series analysis, hence fuzzy cluster analysis is a good approach to solve complex data mining and system identification problems. Num Pages: 324 pages, 11 black & white tables, biography. BIC Classification: UNC. Category: (P) Professional & Vocational. Dimension: 297 x 210 x 19. Weight in Grams: 636. . 2007. Hardback. . . . .
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Ajouter au panierHardcover. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Ajouter au panierTaschenbuch. Etat : Neu. Intelligent Power System Protection Performance Analysis | Data Mining in Discovering Protective Relay Operation Algorithm | Mohammad Lutfi Othman (u. a.) | Taschenbuch | 476 S. | Englisch | 2018 | Scholars' Press | EAN 9783639862195 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Langue: anglais
Edité par Springer, Basel, Birkhäuser, 2007
ISBN 10 : 3764379871 ISBN 13 : 9783764379872
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Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Dataclusteringisacommontechniqueforstatisticaldataanalysis,whichisu sedin many elds, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the classi cation of similar objects into di erent groups, or more precisely, the partitioning of a data set into subsets (clusters), so that the data in each subset (ideally) share some common trait - often proximity according to some de ned distance measure. The aim of this book is to illustrate that advanced fuzzy clustering algorithms can be used not only for partitioning of the data, but it can be used for visuali- tion,regression,classi cationandtime-seriesanalysis,hence fuzzy cluster analysis is a good approach to solve complex data mining and system identi cation pr- lems. Overview In the last decade the amount of the stored data has rapidly increased related to almost all areas of life. The most recent survey was given by Berkeley University of California about the amount of data. According to that, data produced in 2002 and stored in pressed media, lms and electronics devices only are about 5 - abytes. For comparison, if all the 17 million volumes of Library of Congress of the UnitedStatesofAmericaweredigitalized,itwouldbeabout136terabytes. Hence, 5 exabytes is about 37,000 Library of Congress. If this data mass is projected into 6. 3 billion inhabitants of the Earth, then it roughly means that each contem- rary generates 800 megabytes of data every year. It is interesting to compare this amount with Shakespeare's life-work, which can be stored even in 5 megabytes.
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Ajouter au panierEtat : New. Illustrates that advanced fuzzy clustering algorithms can be used not only for partitioning of the data. This title is suitable for visualization, regression, classification and time-series analysis, hence fuzzy cluster analysis is a good approach to solve complex data mining and system identification problems. Num Pages: 324 pages, 11 black & white tables, biography. BIC Classification: UNC. Category: (P) Professional & Vocational. Dimension: 297 x 210 x 19. Weight in Grams: 636. . 2007. Hardback. . . . . Books ship from the US and Ireland.
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Ajouter au panierTaschenbuch. Etat : Neu. Biometric System and Data Analysis | Design, Evaluation, and Data Mining | Ted Dunstone (u. a.) | Taschenbuch | xx | Englisch | 2010 | Springer Us | EAN 9781441945952 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Ajouter au panierEtat : New.
Langue: anglais
Edité par Springer International Publishing AG, Cham, 2025
ISBN 10 : 3031975286 ISBN 13 : 9783031975288
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Ajouter au panierHardcover. Etat : new. Hardcover. This book presents the latest scientific contributions by Ukrainian researchers and their international colleagues in four interrelated fields: systems analysis, systems mathematics, computational intelligence, and data mining. The included papers explore both the theoretical foundations and practical applications of cutting-edge technologies across a wide range of topicsincluding, but not limited to, global security, artificial intelligence, environmental risks, financial systems, health care, digital twins, distributed computing, assistive robotics, and other critical areas of human activity. These fields are united by the complexity of the systems involved, the presence of uncertainty, and multifactorial risks.The methods and models presented in this volume will be valuable for researchers, educators, graduate and postgraduate students, as well as practitioners who implement modern tools and knowledge in systems analysis, artificial intelligence, and data mining to drive innovation in the digital economy.This book makes a significant contribution to the advancement of a systems based approach to understanding global transformations. It highlights how the integration of fundamental science, mathematical modeling, and intelligent technologies can offer profound insights into complex phenomena and support informed decision-making in vital sectors of contemporary life. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Ajouter au panierGebunden. Etat : New. First book to focus on aspects common to all biometric recognition systems, including input data (biometrics images, and person metadata) plus output (scores) of these systems which leads to a focus on user and group level performanceCase stu.