Intelligent techniques for data science. (2016)
- Record Type:
- Book
- Title:
- Intelligent techniques for data science. (2016)
- Main Title:
- Intelligent techniques for data science
- Further Information:
- Note: Rajendra Akerkar, Priti Srinivas Sajja.
- Authors:
- Akerkar, Rajendra
Srinivas Sajja, Priti - Contents:
- Preface -- Introduction -- Data Analytics -- Basic Learning Algorithms -- Fuzzy Logic -- Artificial Neural Networks -- Genetic Algorithms and Evolutionary Computing -- Other Metaheuristics and Classification Approaches -- Analytics and Big Data -- Data Analytics Using R -- Appendix I: Tools for Data Science -- Appendix II: Tools for Computational Intelligence.
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2016
- Extent:
- 1 online resource (xvi, 272 pages), illustrations (some color)
- Subjects:
- 001.4/2
Computer science
Quantitative research
Data mining
Big data
Big data
Data mining
Quantitative research
Computer Science
Data Mining and Knowledge Discovery
Artificial Intelligence (incl. Robotics)
Knowledge Management
Computers -- Intelligence (AI) & Semantics
Business & Economics -- Information Management
Artificial intelligence
Knowledge management
Artificial intelligence
Knowledge management
Computers -- Database Management -- Data Mining
Data mining
Electronic books - Languages:
- English
- ISBNs:
- 9783319292069
3319292064 - Related ISBNs:
- 9783319292052
3319292056 - Notes:
- Note: Includes bibliographical references.
Note: Online resource; title from PDF title page (SpringerLink, viewed October 24, 2016). - 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.362940
- Ingest File:
- 01_330.xml