Update search
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
NARROW
Format
Journal
Type
Date
Availability
1-2 of 2
Keywords: Big data analytics
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Journal Articles
Using a hybrid methodology for literature review: a case study in depression research
Available to Purchase
Journal:
Information Discovery and Delivery
Information Discovery and Delivery (2024) 52 (3): 305–323.
Published: 03 November 2023
... Literature review Big data analytics Semantic analysis Depression care Major depressive disorder Research is an integral part of the advancement of science and technology, and a literature review is an important component of research conducted in any field of science. Systematic literature review...
Journal Articles
Big Data analytics for prediction: parallel processing of the big learning base with the possibility of improving the final result of the prediction
Available to Purchase
Journal:
Information Discovery and Delivery
Information Discovery and Delivery (2018) 46 (3): 147–160.
Published: 20 August 2018
...Laouni Djafri; Djamel Amar Bensaber; Reda Adjoudj Purpose This paper aims to solve the problems of big data analytics for prediction including volume, veracity and velocity by improving the prediction result to an acceptable level and in the shortest possible time. Design/methodology/approach...
