Search ResultsElectronic Resources
by
Angelov, Plamen. editor.
Format:
Excerpt:
-inspired algorithms); implementations on different computing platforms (e.g. neuromorphic, graphics processing units
by
Plattner, Hasso. author.
Format:
Excerpt:
Performance -- Select -- Materialization Strategies.- Parallel Data Processing -- Indices -- Join -- Aggregate
by
Catbas, F. Necati, editor.
Format:
Excerpt:
Classification -- Data Transmission -- Data Acquisition and Management -- Use of Non-Destructive Evaluation for
by
Krishnan, Krish.
Format:
Excerpt:
- Complexity of Big Data Chapter 3 - Big Data Processing Architectures Chapter 4 - Big Data Technologies
by
Aufaure, Marie-Aude.
Format:
Excerpt:
distributors’ data, governmental or NGO-based analysis and papers, or from research publications.</p><p><p>The
by
Plattner, Hasso.
Format:
Excerpt:
management is changing the way businesses are run. Today, enterprise data is split into separate databases
by
Martyr, Anthony.
Format:
Excerpt:
the Engine and shaft selection 13. Test cell safety, control, and data acquisition 14. Data handling
by
Wayner, Peter, 1964-
ScienceDirect https://www.sciencedirect.com/science/book/9780123744791
Format:
Excerpt:
. These methods include encryption, compression, data embedding and watermarking, data mimicry, and
by
Bernstein, Philip A.
ScienceDirect https://www.sciencedirect.com/science/book/9781558606234
Format:
Excerpt:
major focus for business data processing investments, from banking and stock purchase on the web, to
by
Brul, Stanley.
ScienceDirect http://www.sciencedirect.com/science/book/9781845690069
Format:
Excerpt:
, particularly as minimal processing techniques have become more widely used. These processing methods operate
by
Contos, Brian T.
ScienceDirect https://www.sciencedirect.com/science/book/9781597491228
Format:
Excerpt:
Processing, Real-Time Analysis, and Response -- 12. ESM Event Storage and Forensic Analysis -- 13. Bridging
by
Katz, David J.
ScienceDirect http://www.sciencedirect.com/science/book/9780750679121
Format:
Excerpt:
processing tasks across multiple cores. * Program frameworks that optimize performance without needlessly




