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

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

Vivek Tiwari, Ramjeevan Singh Thakur, Basant Tiwari, Shailendra Gupta
Copyright: © 2018 |Pages: 396
ISBN13: 9781522538707|ISBN10: 1522538704|EISBN13: 9781522538714
DOI: 10.4018/978-1-5225-3870-7
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MLA

Tiwari, Vivek, et al., editors. Handbook of Research on Pattern Engineering System Development for Big Data Analytics. IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3870-7

APA

Tiwari, V., Thakur, R. S., Tiwari, B., & Gupta, S. (Eds.). (2018). Handbook of Research on Pattern Engineering System Development for Big Data Analytics. IGI Global. https://doi.org/10.4018/978-1-5225-3870-7

Chicago

Tiwari, Vivek, et al., eds. Handbook of Research on Pattern Engineering System Development for Big Data Analytics. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3870-7

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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.

Table of Contents

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Front Materials
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Title Page
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Copyright Page
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Advances in Systems Analysis, Software Engineering, and High Performance Computing (ASASEHPC) Book Series
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Editorial Advisory Board
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Foreword
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Preface
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Acknowledgment
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Chapters
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Applications and Approaches to Big Data
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Chapter 2
Data Mining and Computing
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Chapter 3
Data-Oriented Security and Networking
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Back Materials
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Compilation of References
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About the Contributors
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Index
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