• Book

    UML Diagramming - A Case Study Approach

    Auteur: Suriya Sundaramoorthy

    UML Diagramming - A Case Study Approach

    • Auteur: Suriya Sundaramoorthy
    • ISBN: 978-1-032-12078-2

    The Unified Modeling Language, better known as UML, has become the de facto standard modeling language for analyzing and designing software applications and systems. Software analysis and design is just as much an art as it is a science. UML Diagramming: A Catalog of Cases shows the art and the science behind successful software analysis and design with more than 35 case studies of applications of a variety of industries, including:

  • Book

    Analyse statistique de données expérimentales

    Auteur: Konstantin Protassov

    Analyse statistique de données expérimentales

    • Auteur: Konstantin Protassov
    • ISBN: 2-86883-456-6

    Une présentation des causes d'incertitudes et des distributions de probabilités les plus connues (Gauss, binomiale, Poisson), fonction d'une variable aléatoire, propagation des erreurs, échantillons, valeur moyenne et écart-type expérimentaux, distributions c2 et Student, ajustement des paramètres (méthodes des moindres carrés et du maximum de vraisemblance).

  • Book

    Analyse de données quantitatives en marketing

    Auteur: DAGHFOUS NAOUFEL

    Analyse de données quantitatives en marketing

    • Auteur: DAGHFOUS NAOUFEL
    • ISBN: 978-2-7601-6900-5

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  • Book

    Analyse de données avec SPSS

    Auteur: Manu Carricano, Fanny Poujol

    Analyse de données avec SPSS

    • Auteur: Manu Carricano, Fanny Poujol
    • ISBN: 978-2-7440-4075-7

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  • Book

    Méthodes quantitatives

    Auteur: Christiane Simard

    Méthodes quantitatives

    • Auteur: Christiane Simard
    • ISBN: 978-2-89732-110-9

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  • Book

    Delivering Business Intelligence with Microsoft SQL Server 2008

    Auteur: Brian Larson

    Delivering Business Intelligence with Microsoft SQL Server 2008

    • Auteur: Brian Larson
    • ISBN: 978-0-07-154945-5

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  • Book

    Oracle Data Warehousing and Business Intelligence Solutions

    Auteur: Robert Stackowiak, Joseph Rayman, Rick Greenwald

    Oracle Data Warehousing and Business Intelligence Solutions

    • Auteur: Robert Stackowiak, Joseph Rayman, Rick Greenwald
    • ISBN: 978-0-471-91921-6

    Up-to-date, comprehensive coverage of the Oracle database and business intelligence tools Written by a team of Oracle insiders, this authoritative book provides you with the most current coverage of the Oracle data warehousing platform as well as the full suite of business intelligence tools. You'll learn how to leverage Oracle features and how those features can be used to provide solutions to a variety of needs and demands. Plus, you'll get valuable tips and insight based on the authors' real-world experiences and their own implementations. Avoid many common pitfalls while learning best practices for: Leveraging Oracle technologies to design, build, and manage data warehouses Integrating specific database and business intelligence solutions from other vendors. Using the new suite of Oracle business intelligence tools to analyze data for marketing, sales, and more Handling typical data warehouse performance challenges Uncovering initiatives by your business community, security business sponsorship, project staffing, and managing risk

  • Book

    Infrastructures de données spatiales

    Auteur: Hélène Rey-Valette, Chady Jabbour, Pierre Maurel, Jean-Michel Salles

    Infrastructures de données spatiales

    • Auteur: Hélène Rey-Valette, Chady Jabbour, Pierre Maurel, Jean-Michel Salles
    • ISBN: 978-2-7592-3515-5

    Les demandes et les usages des données spatiales satellitaires se développent et se diversifient de façon importante, en lien avec la précision, la fréquence des prises de vue et la taille des images. Ainsi, il convient de comprendre et de rendre compte des impacts de cette production croissante sur l'organisation et la rationalisation des structures qui les utilisent, mais aussi sur l'efficacité et la transparence des politiques publiques mobilisant ces informations. Les infrastructures de données spatiales (IDS) représentent des dispositifs essentiels : elles facilitent l'accès aux images (acquisition, traitement, archivage), ainsi que les processus de mutualisation et d'innovations méthodologiques. Elles constituent des biens publics informationnels et mobilisent des moyens croissants qui nécessitent de questionner les types de "modèles économiques" dont elles relèvent. Ce guide, pédagogique et opérationnel, s'adresse à l'ensemble des acteurs liés à la production ou à l'usage des informations spatiales. Il permet une lecture à la carte en fonction des centres d'intérêt et des disciplines, à travers de multiples encadrés et exemples. Il présente les concepts et les méthodes d'évaluation économique appliqués à l'information spatiale, en détaillant trois types d'approches selon que l'on veut estimer la valeur de l'information spatiale, mesurer les retombées économiques d'une IDS ou caractériser ses impacts par des approches multicritères.

  • Book

    Data mining and medical knowledge management: cases and applications

    Auteur: Petr Berka, Jan Rauch, Djamel Abdelkader Zighed, Petr Berka, Jan Rauch, Djamel Abdelkader Zighed

    Data mining and medical knowledge management: cases and applications

    • Auteur: Petr Berka, Jan Rauch, Djamel Abdelkader Zighed, Petr Berka, Jan Rauch, Djamel Abdelkader Zighed
    • ISBN: 978-1-60566-218-3

    The healthcare industry produces a constant flow of data, creating a need for deep analysis of databases through data mining tools and techniques resulting in expanded medical research, diagnosis, and treatment. Data Mining and Medical Knowledge Management: Cases and Applications presents case studies on applications of various modern data mining methods in several important areas of medicine, covering classical data mining methods, elaborated approaches related to mining in electroencephalogram and electrocardiogram data, and methods related to mining in genetic data. A premier resource for those involved in data mining and medical knowledge management, this book tackles ethical issues related to cost-sensitive learning in medicine and produces theoretical contributions concerning general problems of data, information, knowledge, and ontologies.

  • Book

    Data Mining and Machine Learning: Fundamental Concepts and Algorithms

    Auteur: Mohammed J. Zaki, Wagner Meira Jr

    Data Mining and Machine Learning: Fundamental Concepts and Algorithms

    • Auteur: Mohammed J. Zaki, Wagner Meira Jr
    • ISBN: 978-1-108-47398-9

    The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning.

  • Book

    Advanced Data Mining and Application

    Auteur: Gao Cong, Wei Emma Zhang, Wen-Chih Peng, Chengliang Li, Aixin Sun

    Advanced Data Mining and Application

    • Auteur: Gao Cong, Wei Emma Zhang, Wen-Chih Peng, Chengliang Li, Aixin Sun
    • ISBN: 978-3-319-69179-4

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  • Book

    Spatial Data Mining Theory and Application

    Auteur: Deren Li, Shuliang Wang, Deyi Li

    Spatial Data Mining Theory and Application

    • Auteur: Deren Li, Shuliang Wang, Deyi Li
    • ISBN: 978-3-662-48538-5

    This book is an updated version of a well-received book previously published in Chinese by Science Press of China (the first edition in 2006 and the second in 2013). It offers a systematic and practical overview of spatial data mining, which combines computer science and geo-spatial information science, allowing each field to profit from the knowledge and techniques of the other. To address the spatiotemporal specialties of spatial data, the authors introduce the key concepts and algorithms of the data field, cloud model, mining view, and Deren Li methods. The data field method captures the interactions between spatial objects by diffusing the data contribution from a universe of samples to a universe of population, thereby bridging the gap between the data model and the recognition model. The cloud model is a qualitative method that utilizes quantitative numerical characters to bridge the gap between pure data and linguistic concepts. The mining view method discriminates the different requirements by using scale, hierarchy, and granularity in order to uncover the anisotropy of spatial data mining. The Deren Li method performs data preprocessing to prepare it for further knowledge discovery by selecting a weight for iteration in order to clean the observed spatial data as much as possible. In addition to the essential algorithms and techniques, the book provides application examples of spatial data mining in geographic information science and remote sensing. The practical projects include spatiotemporal video data mining for protecting public security, serial image mining on nighttime lights for assessing the severity of the Syrian Crisis, and the applications in the government project ‘the Belt and Road Initiatives’.