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Data wydania

1971 rok - 2024 rok

Autor

Dostępność

Cena

0,00 zł - 20 627,00 zł

Czas dostawy

2 dni - 30 dni

Wydawnictwo

Data capture & analysis

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    • Jest 3 produktów.

    Data Warehousing & Web...

    Data Warehousing & Web Engineering

    Autor: Shirley Becker
    Data wydania: 2002
    This volume covers two pertinent topics that are continuously advancing the effective utilization and management of information technology applications. One objective of this book is to provide a forum for researchers and practitioners to share research about technical and managerial issues associated with data warehousing and mining. The other focus of this book is the concept of Web engineering, as it addresses how the originally intended use of the Web as a distributed system for knowledge-interchange seems to disappear, compared to the increasing number of e-commerce Web applications. The Web as a global point of sale seems to be very promising but obviously suffered from its heritage - the coarse-grained implementation model, which makes it harder and harder to
    345,00 zł
    • Nowy
    Information Fusion and...

    Information Fusion and Analytics for Big Data and IoT 2016

    Autor: Basel Solaiman
    Eloi Bosse
    Data wydania: 2016
    The Internet of Things (IoT) and Big Data are hot topics in the world of intelligence operations and information gathering. This first-of-its-kind volume reveals the benefits of addressing these topics with the integration of Fusion of Information and Analytics Technologies (FIAT). The book explains how FIAT is materialized into decision support systems that are capable of supporting the prognosis, diagnosis, and prescriptive tasks within complex systems and organizations.This unique resource offers keen insight into how complex systems emerge from the interrelation of social and cognitive information, cyber and physical worlds, and the various models of decision-making and situational awareness. Practitioners also discover the central notions of analytics and
    750,15 zł
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    Real-World Machine Learning

    Real-World Machine Learning

    Autor: Henrick Brink
    Joesph Richards
    Mark Fetherolf
    Data wydania: 2016
    DESCRIPTION In a world where big data is the norm and near-real-time decisions are crucial, machine learning (ML) is a critical component of the data workflow. Machine learning systems can quickly crunch massive amounts of information to offer insights and make decisions in a way that matches or even surpasses human cognitive abilities. These systems use sophisticated computational and statistical tools to build models that can recognize and visualize patterns, predict outcomes, forecast values, and make recommendations.   Real-World Machine Learning is a practical guide designed to teach developers the art of ML project execution. The book introduces the day-to-day practice of machine learning and prepares readers to successfully build and deploy
    158,00 zł
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