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Emerging Perspectives in Big Data Warehousing -

Emerging Perspectives in Big Data Warehousing

David Taniar, Wenny Rahayu (Herausgeber)

Buch | Hardcover
348 Seiten
2019
IGI Global (Verlag)
978-1-5225-5516-2 (ISBN)
CHF 419,95 inkl. MwSt
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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.
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.

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).

Erscheinungsdatum
Verlagsort Hershey
Sprache englisch
Maße 216 x 279 mm
Gewicht 633 g
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
ISBN-10 1-5225-5516-1 / 1522555161
ISBN-13 978-1-5225-5516-2 / 9781522555162
Zustand Neuware
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