Emerging Perspectives in Big Data Warehousing

Emerging Perspectives in Big Data Warehousing

David Taniar, Wenny Rahayu
Copyright: © 2019 |Pages: 348
ISBN13: 9781522555162|ISBN10: 1522555161|EISBN13: 9781522555179
DOI: 10.4018/978-1-5225-5516-2
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MLA

Taniar, David, and Wenny Rahayu, editors. Emerging Perspectives in Big Data Warehousing. IGI Global, 2019. https://doi.org/10.4018/978-1-5225-5516-2

APA

Taniar, D. & Rahayu, W. (Eds.). (2019). Emerging Perspectives in Big Data Warehousing. IGI Global. https://doi.org/10.4018/978-1-5225-5516-2

Chicago

Taniar, David, and Wenny Rahayu, eds. Emerging Perspectives in Big Data Warehousing. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-5516-2

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The concept of a big data warehouse appeared in order to store moving data objects and temporal data information. Moving objects are geometries that change their position and shape continuously over time. In order to support spatio-temporal data, a data model and associated query language is needed for supporting moving objects.

Emerging Perspectives in Big Data Warehousing is an essential research publication that explores current innovative activities focusing on the integration between data warehousing and data mining with an emphasis on the applicability to real-world problems. Featuring a wide range of topics such as index structures, ontology, and user behavior, this book is ideally designed for IT consultants, researchers, professionals, computer scientists, academicians, and managers.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Advances in Data Mining and Database Management (ADMDM) Book Series
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Preface
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Chapters
Back Materials
Compilation of References
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Related References
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About the Contributors
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Index
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