Reference Hub

This research has been cited in:

Chapter
IntroductionInternet of Things Integrated Augmented Reality10.1007/978-981-15-6374-4_1
Chapter
The Invisible Eye—A Security Architecture to Protect MotorwaysInternet of Things, Smart Computing and Technology: A Roadmap Ahead10.1007/978-3-030-39047-1_17
Chapter
Fundamentals, Present and Future Perspectives of Quality of Work LifeProceeding of First Doctoral Symposium on Natural Computing Research10.1007/978-981-33-4073-2_26
Chapter
Personal Data as a Critical Element of Sustainable Systems—Comparison of Selected Data Anonymization TechniquesSustainable Intelligent Systems10.1007/978-981-33-4901-8_4
Chapter
Lightweight Secure Technology Future of Internet of ThingsInternet of Things, Smart Computing and Technology: A Roadmap Ahead10.1007/978-3-030-39047-1_14
Article
A Survey of Data Mining and Deep Learning in BioinformaticsJournal of Medical Systems10.1007/s10916-018-1003-9
Chapter
Mutual Correlation-Based Anonymization for Privacy Preserving Medical Data PublishingHandbook of Research on Information Security in Biomedical Signal Processing10.4018/978-1-5225-5152-2.ch016
Chapter
Mutual Correlation-Based Anonymization for Privacy Preserving Medical Data PublishingCensorship, Surveillance, and Privacy10.4018/978-1-5225-7113-1.ch034
Chapter
Early Detection of Breast Cancer Using Image Processing TechniquesHandbook of Research on Information Security in Biomedical Signal Processing10.4018/978-1-5225-5152-2.ch004
Article
Privacy Preserving Data Mining Using Time Series Data AggregationInternational Journal of Strategic Information Technology and Applications10.4018/IJSITA.2017100101
Chapter
Improving Privacy and Security of User Data in Location Based ServicesResearch Anthology on Privatizing and Securing Data10.4018/978-1-7998-8954-0.ch067
Chapter
Smart and Connected Cities Through TechnologiesResearch Anthology on Smart Grid and Microgrid Development10.4018/978-1-6684-3666-0.ch050
Article
Improving Privacy and Security of User Data in Location Based ServicesInternational Journal of Ambient Computing and Intelligence10.4018/IJACI.2018010102
Chapter
Privacy Preserving Data Mining Using Time Series Data AggregationResearch Anthology on Privatizing and Securing Data10.4018/978-1-7998-8954-0.ch045

Privacy and Security Policies in Big Data

Sharvari Tamane, Vijender Kumar Solanki, Nilanjan Dey

ISBN13: 9781522524861|ISBN10: 152252486X|EISBN13: 9781522524878

DOI: 10.4018/978-1-5225-2486-1

Cite Book Cite Book

MLA

Tamane, Sharvari, et al., editors. Privacy and Security Policies in Big Data. IGI Global, 2017. https://doi.org/10.4018/978-1-5225-2486-1

APA

Tamane, S., Solanki, V. K., & Dey, N. (Eds.). (2017). Privacy and Security Policies in Big Data. IGI Global. https://doi.org/10.4018/978-1-5225-2486-1

Chicago

Tamane, Sharvari, Vijender Kumar Solanki, and Nilanjan Dey, eds. Privacy and Security Policies in Big Data. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-2486-1

Export Reference

Favorite Full-Book Download

In recent years, technological advances have led to significant developments within a variety of business applications. In particular, data-driven research provides ample opportunity for enterprise growth, if utilized efficiently.

Privacy and Security Policies in Big Data is a pivotal reference source for the latest research on innovative concepts on the management of security and privacy analytics within big data. Featuring extensive coverage on relevant areas such as kinetic knowledge, cognitive analytics, and parallel computing, this publication is an ideal resource for professionals, researchers, academicians, advanced-level students, and technology developers in the field of big data.

Reset

Front Materials

Privacy and Security Policies in Big Data

MLA

APA

Chicago

Export Reference

Table of Contents

Request Access