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 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 focuses on application of nature-inspired algorithms for handling issues and challenges posed by big data in diverse environments. It highlights the usability and performance measures of these techniques in dealing with data related problems of emerging areas. It also explore the role...

"This book highlights entirely new and detailed spatial-temporal micro-simulation methodologies for human mobility and the emerging dynamics of our society, offering novel ideas grounded in big data from various data mining and transportation science sources"--Provided by publisher.

"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"--

The technologies in data mining have been applied to bioinformatics research in the past few years with success, but more research in this field is necessary. While tremendous progress has been made over the years, many of the fundamental challenges in bioinformatics are still open. Data mining...