Technologies for big data / Kapil Bakshi -- Applying the K-means algorithm in big raw data sets with Hadoop and MapReduce / Ilias K. Savvas, Georgia N. Sofianidou, M-Tahar Kechadi -- Synchronizing execution of big data in distributed and parallelized environments / Gueyoung Jung, Tridib...

"This book focuses exclusively on the topic of cloud-sponsored big data analytics for creating flexible and futuristic organizations, helping make informed decisions and consider appropriate action to simplify and streamline the arduous journey towards smarter enterprises"--Provided by publisher.

"This book merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management"--Provided by publisher.

"This book combines the latest empirical research findings, best practices, and applicable theoretical frameworks surrounding data analytics and knowledge acquisition while providing a multi-disciplinary perspective of the subject area"--Provided by publisher

"This book provides an overview of recent developments, applications, and research on the topic of spatio-temporal big data analysis and visualization, as well as location intelligence and analytics by focusing on emerging trends in this dynamic field"--Provided by publisher.

"This book cuts through the haze of glitz and pomp surrounding big data and offers a simple, straightforward reference-source of practical academic utility by covering such topics as cloud computing, parallel computing, natural language processing, and personalized medicine"--Provided by publisher.

"This book provides the most recent technical information related to the computational models of the text mining process, discussing techniques within the realms of classification, association analysis, information extraction, and clustering. Offering an innovative approach to the utilization of...

"This book provides the information on the machine learning techniques that can be in business problems in efficient way. It encourages the data Scientists to take a proactive attitude toward applying machine learning techniques in business. It increases evolutionary computation awareness in...

"This book explores problems related to the five "Vs" of big data, technological issues, as well as big data analytics applications. It also covers how data must be extracted, grouped, organized, aggregated and correlated with methods and techniques such as data integration (ETL), data...

"This book examines topics of interest and continuing importance for information technology management in a variety of settings. It also explores how information systems and intelligent knowledge processing are playing an increased role in business, science and technology"--