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.
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Explores current innovative activities focusing on the integration between data warehousing and data mining with an emphasis on the applicability to real-world problems. The book features a wide range of topics such as index structures, ontology, and user behaviour.
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Produktdetaljer

ISBN
9781522555162
Publisert
2019-05-30
Utgiver
Vendor
IGI Global
Vekt
633 gr
Høyde
279 mm
Bredde
216 mm
Aldersnivå
U, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
348

Om bidragsyterne

David Taniar received his PhD in Databases from Victoria University (Australia, 1997) and is now a Senior Lecturer at Monash University (Australia). He has published more than 100 research articles and edited a number of books in the Web technology series. He is on the editorial board of a number of international journals, including Data Warehousing and Mining , Business Intelligence and Data Mining , Mobile Information Systems , Mobile Multimedia , Web Information Systems , and Web and Grid Services . He has been elected as a Fellow of the Institute for Management of Information Systems (UK).