Utvidet returrett til 31. januar 2025

Bøker i Integrated Series in Information Systems-serien

Filter
Filter
Sorter etterSorter Serierekkefølge
  • - Exploring and Data Mining the Dark Side of the Web
    av Hsinchun Chen
    1 807 - 1 952,-

    This book describes the Dark Web landscape of international terrorism, suggests a systematic, computational approach to understanding its problems, and presents techniques, methods, and case studies developed by the University of Arizona AI Lab Dark Web team.

  • - Theory and Practice
     
    1 412,-

    This book examines trends and challenges in research on IT governance in public organizations, reporting innovative research and new insights in the theories, models and practices within the area.

  • - Theory and Practice
    av Alan Hevner & Samir Chatterjee
    1 005 - 1 661,-

    This comprehensive book outlines and explains the parameters of design science research. It demonstrates how to conduct such research, and provides examples of various types of research that have been conducted using design science.

  • - Theory and Practice
     
    1 412,-

    This book examines trends and challenges in research on IT governance in public organizations, reporting innovative research and new insights in the theories, models and practices within the area.

  • - Knowledge Management and Data Mining in Biomedicine
     
    2 249,-

    Authors are widely recognized professors and researchers in Schools of Medicine and Information Systems from the University of Arizona, University of Washington, Columbia University, and Oregon Health & Science University.

  • - Individuals, Groups, and Organizations
     
    1 371,-

    As the use of digital technology has grown, so necessarily has the body of research into its effects at the personal, group and organizational levels, but there is no one book that looks at how digital technology has specifically influenced creativity.

  • - Thinking with Examples for Effective Learning
    av Shan Suthaharan
    1 807 - 1 848,-

    This book presents machine learning models and algorithms to address big data classification problems. The first part mainly focuses on the topics that are needed to help analyze and understand data and big data. The third part presents the topics required to understand and select machine learning techniques to classify big data.

  • - A Handbook of Principles, Concepts and Applications in Information Systems
     
    2 969,-

    This book describes the state-of-the-art in ontology-driven information systems (ODIS) and gives a complete perspective on the problems, solutions and open research questions in this field. The book covers four broad areas: foundations of ODIS, ontological engineering, ODIS architectures, and ODIS applications.

  • - Case Studies
     
    1 371,-

    This book presents real-world decision support systems, i.e., systems that have been running for some time and as such have been tested in real environments and complex situations;

  • av Pascale Zarate, Jason Papathanasiou & Jorge Freire de Sousa
    1 371,-

Gjør som tusenvis av andre bokelskere

Abonner på vårt nyhetsbrev og få rabatter og inspirasjon til din neste leseopplevelse.