Mining of massive datasets
Material type:
- 9781107448247
- 006.312 23 RAJ-M
- QA76.9.D343 R35 2012
Contents:
Data mining -- Large-scale file systems and map-reduce -- Finding similar items -- Mining data streams -- Link analysis -- Frequent itemsets -- Clustering -- Advertising on the web -- Recommendation systems.
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
![]() |
IIITD General Stacks | Computer Science and Engineering | 006.312 RAJ-M (Browse shelf(Opens below)) | Available | 005051 |
Total holds: 0
Browsing IIITD shelves, Shelving location: General Stacks, Collection: Computer Science and Engineering Close shelf browser (Hides shelf browser)
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
||
006.312 MUN-A Automated data collection with R : | 006.312 OSI-D Deep learning cookbook : practical recipes to get started quickly | 006.312 PRO-D Data science for business : | 006.312 RAJ-M Mining of massive datasets | 006.312 RUS-M Mining the social web | 006.312 VAN-P Python data science handbook : | 006.312 VAN-P Python data science handbook : essential tools for working with data |
Includes bibliographical references and index.
Data mining -- Large-scale file systems and map-reduce -- Finding similar items -- Mining data streams -- Link analysis -- Frequent itemsets -- Clustering -- Advertising on the web -- Recommendation systems.
There are no comments on this title.