This volume comprises the select proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succin...
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ISBN:
(数字)9789811066207
ISBN:
(纸本)9789811066191
This volume comprises the select proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succinct reviews. The volumes cover diverse topics ranging from communications networks to bigdataanalytics, and from system architecture to cyber security. This volume focuses on bigdataanalytics. The contents of this book will be useful to researchers and students alike.
This book gathers a selection of peer-reviewed papers presented at the first bigdataanalytics for Cyber-Physical System in Smart City (BDCPS 2019) conference, held in Shengyang, China, on 28–29 December 2019....
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ISBN:
(数字)9789811525681
ISBN:
(纸本)9789811525674;9789811525704
This book gathers a selection of peer-reviewed papers presented at the first bigdataanalytics for Cyber-Physical System in Smart City (BDCPS 2019) conference, held in Shengyang, China, on 28–29 December 2019.;The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and bigdataanalytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in bigdata, smart cities, and cyber-physical systems.
Gain the key language concepts and programming techniques of Scala in the context of bigdataanalytics and Apache Spark. The book begins by introducing you to Scala and establishes a firm contextual understanding of ...
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ISBN:
(数字)9781484248102
ISBN:
(纸本)9781484248096
Gain the key language concepts and programming techniques of Scala in the context of bigdataanalytics and Apache Spark. The book begins by introducing you to Scala and establishes a firm contextual understanding of why you should learn this language, how it stands in comparison to Java, and how Scala is related to Apache Spark for bigdataanalytics. Next, you’ll set up the Scala environment ready for examining your first Scala programs. This is followed by sections on Scala fundamentals including mutable/immutable variables, the type hierarchy system, control flow expressions and code blocks.;The author discusses functions at length and highlights a number of associated concepts such as functional programming and anonymous functions. The book then delves deeper into Scala’s powerful collections system because many of Apache Spark’s APIs bear a strong resemblance to Scala collections.;Along the way you’ll see thedevelopment life cycle of a Scala program. This involves compiling and building programs using the industry-standard Scala Build Tool (SBT). You’ll cover guidelines related to dependency management using SBT as this is critical for building large Apache Spark applications.;concludes by demonstrating how you can make use of the concepts to write programs that run on the Apache Spark framework. These programs will provide distributed and parallel computing, which is critical for bigdataanalytics.;data scientists, data analysts and data engineers who intend to use Apache Spark for large-scale analytics.
This practically-focused volume is an invaluable resource for all researchers, academics, data scientists and business professionals involved in the planning, designing, and implementation of bigdataanalytics projec...
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ISBN:
(数字)9783319764726
ISBN:
(纸本)9783319764719;9783030094973
This practically-focused volume is an invaluable resource for all researchers, academics, data scientists and business professionals involved in the planning, designing, and implementation of bigdataanalytics projects.;is an Associate Professor in Computer Engineering and currently is the Provost at Al Khawarizmi International College, Abu Dhabi, UAE.;is a Professor of Computer Science in the School of Computing, Creative Technologies & Engineering at Leeds Beckett University, UK.;is a Professor in Computing and currently is the Vice President for Academic Affairs and Research at the University of Modern Sciences, Dubai, UAE.;is a Research Staff Member at IBM Research – Almaden, San Jose, CA, USA.
This book focuses on data and how modern business firms use social data, specifically Online Social Networks (OSNs) incorporated as part of the infrastructure for a number of emerging applications such as personalized...
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ISBN:
(数字)9789813366527
ISBN:
(纸本)9789813366510;9789813366541
This book focuses on data and how modern business firms use social data, specifically Online Social Networks (OSNs) incorporated as part of the infrastructure for a number of emerging applications such as personalized recommendation systems, opinion analysis, expertise retrieval, and computational advertising. This book identifies how in such applications, social data offers a plethora of benefits to enhance the decision making process.;This book highlights that business intelligence applications are more focused on structured data; however, in order to understand and analyse the social bigdata, there is a need to aggregate data from various sources and to present it in a plausible format. big Social data (BSD) exhibit all the typical properties of bigdata: wide physical distribution, diversity of formats, non-standard data models, independently-managed and heterogeneous semantics but even further valuable with marketing opportunities.;The book provides a review of the current state-of-the-art approaches for big social dataanalytics as well as to present dissimilar methods to infer value from social data. The book further examines several areas of research that benefits from the propagation of the social data. In particular, the book presents various technical approaches that produce dataanalytics capable of handling bigdata features and effective in filtering out unsolicited data and inferring a value. These approaches comprise advanced technical solutions able to capture huge amounts of generated data, scrutinise the collected data to eliminate unwanted data, measure the quality of the inferred data, and transform the amended data for further data analysis. Furthermore, the book presents solutions to derive knowledge and sentiments from BSD and to provide social data classification and prediction. The approaches in this book also incorporate several technologies such as semantic discovery, sentiment analysis, affective computing and machine learning.;This bo
This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steve...
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ISBN:
(数字)9781137379283
ISBN:
(纸本)9781137379276;9781349478682
This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations.
Included among real-world applications of data science are papers on;The work collected in this volume of proceedings will provide researchers and practitioners with a detailed snapshot of current progress in the fiel...
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ISBN:
(数字)9783658274955
ISBN:
(纸本)9783658274948
Included among real-world applications of data science are papers on;The work collected in this volume of proceedings will provide researchers and practitioners with a detailed snapshot of current progress in the field of data science. Moreover, it willstimulate new study, research, and the development of new applications.
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