Models of computation for big data. ([2018])
- Record Type:
- Book
- Title:
- Models of computation for big data. ([2018])
- Main Title:
- Models of computation for big data
- Further Information:
- Note: Rajendra Akerkar.
- Authors:
- Akerkar, Rajendra
- Contents:
- Preface -- Streaming Models -- Introduction -- Indyk's Algorithm -- Point Query -- Sketching -- Sub-Linear Time Models -- Introduction -- Dimentionality Reduction -- Johnson Lindenstrauss Lower Bound -- Fast Johnson Lindenstrauss Transform -- Sublinear Time Algorithmic Models -- Linear Algebraic Models -- Introduction -- Subspace Embeddings -- Low-Rank Approximation -- The Matrix Completion Problem -- Other Computational Models -- References.
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2018
- Extent:
- 1 online resource
- Subjects:
- 005.1
Computer software
Data mining
Algebras, Linear
Computer science
Algorithm Analysis and Problem Complexity
Data Mining and Knowledge Discovery
Linear Algebra
Models and Principles
Electronic books - Languages:
- English
- ISBNs:
- 9783319918518
3319918516 - Related ISBNs:
- 9783319918501
3319918508 - Notes:
- Note: Description based on online resource; title from digital title page (viewed on January 23, 2019).
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.380669
- Ingest File:
- 02_368.xml