1.

Record Nr.

UNINA9910216937003321

Titolo

Wiley interdisciplinary reviews Computational molecular science

Pubbl/distr/stampa

[Hoboken, New Jersey], : John Wiley & Sons, [2011]-

ISSN

1759-0884

Descrizione fisica

1 online resource

Disciplina

511

Soggetti

Molecules - Data processing

Molecules

Molecular structure - Data processing

Molecular structure

Cheminformatics

Chemistry, Physical and theoretical - Data processing

Biochemistry - Data processing

Materials science - Data processing

Computational Biology

Biochemical Phenomena

Chemical Phenomena

Biochimie

Chimio-informatique

Chimie physique et théorique

Bio-informatique

Biologia molecular

Bioquímica

Processament de dades

Periodicals.

Revistes electròniques.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Periodico

Note generali

Refereed/Peer-reviewed



2.

Record Nr.

UNINA9910255454203321

Titolo

Big Data and Visual Analytics / / edited by Sang C. Suh, Thomas Anthony

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017

ISBN

3-319-63917-X

Edizione

[1st ed. 2017.]

Descrizione fisica

1 online resource (X, 263 p. 27 illus., 10 illus. in color.)

Disciplina

005.7

Soggetti

Computer networks

Artificial intelligence

Information visualization

Computer Communication Networks

Artificial Intelligence

Data and Information Visualization

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references at the end of each chapters and index.

Nota di contenuto

Information visualization -- Data analytics -- Visual analytics -- Intelligent information systems -- Business analytics,- Virtual data machine -- Big data architecture -- Security of big data -- Big data applications -- Tensor-based computation and modeling -- High performance computing cluster -- Big data technologies.

Sommario/riassunto

This book provides users with cutting edge methods and technologies in the area of  big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this field. The authors present comprehensive educational resources on big data and visual analytics covering state-of-the art techniques on data analytics, data and information visualization, and visual analytics. Each chapter covers  specific topics related to big data and data analytics as virtual data machine, security of  big data, big data applications, high performance computing cluster, and big data implementation techniques. Every chapter includes a description of an unique contribution to the area of big data



and visual analytics. This book is a valuable resource for researchers and professionals working in the area of big data, data analytics, and information visualization. Advanced-level students studying computer science will also find this book helpful as a secondary textbook or reference.