Bøker i Data Analytics Applications-serien

This book gives a comprehensive coverage of state-of-the-art big data analytics in cybersecurity and IT management. The topics include threat analysis, vulnerability identification, mission analysis, network monitoring, network management, visualization, and cybertraining. Each topic is examined in detail in a case study.

Scientific knowledge is doubling every 10 to 15 years worldwide. Who generates this knowledge? Where is this information stored? How is it being utilized? These are some issues addressed in this book on data analytics and scientometrics, which brings together scientific production, research evaluation, and reputation of world-class universities.

This books sheds light on the unique and creative contributions that the arts and humanities can make to the development of approaches to effectively use big data. It also looks at opportunities and challenges for research in the arts and humanities created by the capability to handle and use sophisticatedly very huge and complex data sets.

Data has reshaped industries around the world, from finance and medicine to sports. Law has trailed behind other industries, but is quickly following suit. For many years, law firms made important decisions ¿ including very large decisions ¿ based on limited experience (at best), or hunches (at worst). Data science is growing quickly in law firms, law schools, and corporate legal departments. Sophisticated clients not only prefer firms that use data analysis in their practice ¿ they soon will demand it. In Data Analytics Applications in Law, leading practitioners examine the cutting edge of this trend, looking at new tools from our present, as well as the future of data analytics in law.

The book looks at the question: How well do executives trust their intuition? In other words, do they typically prefer intuition over analysis/analytics, and what types of intuition (Holistic-Big Picture, Holistic-Abstract, Affective Intuition, Inferential Intuition) may be most favorable looking at different variables?