Handbook of big data /
Title By: Drineas, Petros [Edited by] | Laan, Mark van der [Edited by] | Bühlmann, Peter [Edited by] | Kane, Michael [Edited by]
Series: Chapman & Hall/CRC handbooks of modern statistical methods.Publisher: Boca Raton : CRC Press, Taylor & Francis Group, c2016.Description: xvi, 464 p. : ill. ; 26 cm.ISBN: 9781482249071Subject(s): Big data -- Statistical methods -- Handbooks, manuals, etcDDC classification: 005.75 HA ND Online resources: Location Map
Summary:
"Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the text instills a working understanding of key statistical and computing ideas that can be readily applied in research and practice"
| Item type | Home library | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
| REGULAR | University of Wollongong in Dubai Main Collection | 005.75 HA ND (Browse shelf) | Available | T0055801 |
Total holds: 0
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| 005.745 KR DA Data warehousing in the age of big data / | 005.745 LA DA The data warehouse mentor : | 005.746 SA IN Introduction to data compression | 005.75 HA ND Handbook of big data / | 005.75 HO DA Data Modeling for MongoDB: | 005.75 TI PR Professional NoSQL | 005.75 TI PR Professional NoSQL |
I. General perspectives on big data --
II. Data-centric, exploratory methods --
III. Efficient algorithms --
IV. Graph approaches --
V. Model fitting and regularization --
VI. Ensemble methods --
VII. Causal inference --
VIII. Targeted learning.
"Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the text instills a working understanding of key statistical and computing ideas that can be readily applied in research and practice"