Søgning på underkategorier- og emner:
The book focuses on mathematical modelling of COVID-19 pandemic using the Susceptible, Infectious, and Recovered (SIR) model. The book emphasizes on how the pandemic actually spreads out, lockdown impact analysis, and future course of actions based on mathematical calculations.
This book discusses the role of mobile network data in urban informatics, particularly how mobile network data is utilized in the mobility context, where approaches, models, and systems are developed for understanding travel behavior.
This book explores the application of data mining and machine learning techniques in studying the activity pattern, decision-making skills, misconducts, and actions resulting in the intervention of VAR in European soccer leagues referees.
This book discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections. It then goes into more advanced topics including text summarization, text segmentation, topic mapping, and automatic text management.
This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science.
This book highlights the state of the art and recent advances in Big Data clustering methods and their innovative applications in contemporary AI-driven systems.
This book describes efforts to improve subject-independent automated classification techniques using a better feature extraction method and a more efficient model of classification.
Further, the book shows new directions for cooperation between science and industry and facilitates efficient transfer of knowledge in the area of intelligent information systems.