Handbook of Research on Big Data Storage and Visualization Techniques

Handbook of Research on Big Data Storage and Visualization Techniques

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  • Author: Segall, Richard S.
  • Publisher: IGI Global
  • ISBN: 1522531432
  • Category : Computers
  • Languages : en
  • Pages : 917

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.


Handbook of Research on Big Data Storage and Visualization Techniques, VOL 1

Handbook of Research on Big Data Storage and Visualization Techniques, VOL 1

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  • Author: Jeffrey S. Cook
  • Publisher:
  • ISBN: 9781668429235
  • Category :
  • Languages : en
  • Pages : 632


Handbook of Research on Big Data Storage and Visualization Techniques, VOL 2

Handbook of Research on Big Data Storage and Visualization Techniques, VOL 2

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  • Author: Jeffrey S. Cook
  • Publisher:
  • ISBN: 9781668429242
  • Category :
  • Languages : en
  • Pages : 620


Handbook of Research on Big Data and the IoT

Handbook of Research on Big Data and the IoT

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  • Author: Kaur, Gurjit
  • Publisher: IGI Global
  • ISBN: 1522574336
  • Category : Computers
  • Languages : en
  • Pages : 568

The increase in connected devices in the internet of things (IoT) is leading to an exponential increase in the data that an organization is required to manage. To successfully utilize IoT in businesses, big data analytics are necessary in order to efficiently sort through the increased data. The combination of big data and IoT can thus enable new monitoring services and powerful processing of sensory data streams. The Handbook of Research on Big Data and the IoT is a pivotal reference source that provides vital research on emerging trends and recent innovative applications of big data and IoT, challenges facing organizations and the implications of these technologies on society, and best practices for their implementation. While highlighting topics such as bootstrapping, data fusion, and graph mining, this publication is ideally designed for IT specialists, managers, policymakers, analysts, software engineers, academicians, and researchers.


Handbook of Research for Big Data

Handbook of Research for Big Data

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  • Author: Brojo Kishore Mishra
  • Publisher:
  • ISBN: 9781774639283
  • Category : Big data
  • Languages : en
  • Pages :

Data has become a valuable asset like never before. Today the challenge is not a shortage of data but the need for techniques and methods capable enough to be able to glean valuable insights from the fast-flowing mass of Big Data. This new volume, Handbook of Research for Big Data: Concepts and Techniques, helps to meet the challenge of managing and using Big Data by presenting new research on various technological advances in the field. The chapters in the book present information on important applications, concepts, and technologies for Big Data in the present industry and market scenario. It looks at research domain issues and their solutions as well as various research case studies, research plans, methodologies, and related data sets for the four Vs: volume, velocity, variety, and veracity. Chapters discuss Big Data in governance, transportation, disaster management, epidemiology, and more. The book covers design and analysis of reconfigurable computing of SoC for IoT, data mining techniques and applications, the use of natural language processing in big data, and more. The volume is a valuable resource for researchers from both academia and industry to learn about and enhance their knowledge and skills in the broad area of big data computing and applications.


Optimizing Data and New Methods for Efficient Knowledge Discovery and Information Resources Management: Emerging Research and Opportunities

Optimizing Data and New Methods for Efficient Knowledge Discovery and Information Resources Management: Emerging Research and Opportunities

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  • Author: Swayze, Susan
  • Publisher: IGI Global
  • ISBN: 1799822370
  • Category : Computers
  • Languages : en
  • Pages : 198

The fast-paced world created by the accessibility of consumer information through internet-generated data requires improved information-management platforms. The continuous evaluation and evolution of these systems facilitate enhanced data reference and output. Optimizing Data and New Methods for Efficient Knowledge Discovery and Information Resources Management is a critical research publication that provides insight into the varied and rapidly changing fields of knowledge discovery and information resource management. Highlighting a range of topics such as datamining, artificial intelligence, and risk assessment, this book is essential for librarians, academicians, policymakers, information managers, professionals, and researchers in fields that include artificial intelligence, knowledge discovery, data visualization, big data, and information resources management.


Handbook of Research on Network Forensics and Analysis Techniques

Handbook of Research on Network Forensics and Analysis Techniques

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  • Author: Shrivastava, Gulshan
  • Publisher: IGI Global
  • ISBN: 1522541012
  • Category : Computers
  • Languages : en
  • Pages : 509

With the rapid advancement in technology, myriad new threats have emerged in online environments. The broad spectrum of these digital risks requires new and innovative methods for protection against cybercrimes. The Handbook of Research on Network Forensics and Analysis Techniques is a current research publication that examines the advancements and growth of forensic research from a relatively obscure tradecraft to an important part of many investigations. Featuring coverage on a broad range of topics including cryptocurrency, hand-based biometrics, and cyberterrorism, this publication is geared toward professionals, computer forensics practitioners, engineers, researchers, and academics seeking relevant research on the development of forensic tools.


Optimizing Big Data Management and Industrial Systems With Intelligent Techniques

Optimizing Big Data Management and Industrial Systems With Intelligent Techniques

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  • Author: Öner, Sultan Ceren
  • Publisher: IGI Global
  • ISBN: 1522551387
  • Category : Computers
  • Languages : en
  • Pages : 238

In order to survive an increasingly competitive market, corporations must adopt and employ optimization techniques and big data analytics for more efficient product development and value creation. Understanding the strengths, weaknesses, opportunities, and threats of new techniques and manufacturing processes allows companies to succeed during the rise of Industry 4.0. Optimizing Big Data Management and Industrial Systems With Intelligent Techniques explores optimization techniques, recommendation systems, and manufacturing processes that support the evaluation of cyber-physical systems, end-to-end engineering, and digitalized control systems. Featuring coverage on a broad range of topics such as digital economy, fuzzy logic, and data linkage methods, this book is ideally designed for manufacturers, engineers, professionals, managers, academicians, and students.


Handbook of Research on Pattern Engineering System Development for Big Data Analytics

Handbook of Research on Pattern Engineering System Development for Big Data Analytics

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  • Author: Tiwari, Vivek
  • Publisher: IGI Global
  • ISBN: 1522538712
  • Category : Computers
  • Languages : en
  • Pages : 396

Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. The Handbook of Research on Pattern Engineering System Development for Big Data Analytics is a critical scholarly resource that examines the incorporation of pattern management in business technologies as well as decision making and prediction process through the use of data management and analysis. Featuring coverage on a broad range of topics such as business intelligence, feature extraction, and data collection, this publication is geared towards professionals, academicians, practitioners, and researchers seeking current research on the development of pattern management systems for business applications.


Research Anthology on Big Data Analytics, Architectures, and Applications

Research Anthology on Big Data Analytics, Architectures, and Applications

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  • Author: Management Association, Information Resources
  • Publisher: IGI Global
  • ISBN: 1668436639
  • Category : Computers
  • Languages : en
  • Pages : 1988

Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.