As today's organizations are capturing exponentially larger amounts
of data than ever, now is the time for organizations to rethink how
they digest that data. Through advanced algorithms and analytics
techniques, organizations can harness this data, discover hidden
patterns, and use the newly acquired knowledge to achieve
competitive advantages. Presenting the contributions of leading
experts in their respective fields, Big Data: Algorithms,
Analytics, and Applications bridges the gap between the vastness of
Big Data and the appropriate computational methods for scientific
and social discovery. It covers fundamental issues about Big Data,
including efficient algorithmic methods to process data, better
analytical strategies to digest data, and representative
applications in diverse fields, such as medicine, science, and
engineering. The book is organized into five main sections: Big
Data Management-considers the research issues related to the
management of Big Data, including indexing and scalability aspects
Big Data Processing-addresses the problem of processing Big Data
across a wide range of resource-intensive computational settings
Big Data Stream Techniques and Algorithms-explores research issues
regarding the management and mining of Big Data in streaming
environments Big Data Privacy-focuses on models, techniques, and
algorithms for preserving Big Data privacy Big Data
Applications-illustrates practical applications of Big Data across
several domains, including finance, multimedia tools, biometrics,
and satellite Big Data processing Overall, the book reports on
state-of-the-art studies and achievements in algorithms, analytics,
and applications of Big Data. It provides readers with the basis
for further efforts in this challenging scientific field that will
play a leading role in next-generation database, data warehousing,
data mining, and cloud computing research. It also explores related
applications in diverse sectors, covering technologies for
media/data communication, elastic media/data storage, cross-network
media/data fusion, and SaaS.
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