TY  - BOOK
AU  - Akerkar,Rajendra
AU  - Sajja,Priti Srinivas
ED  - SpringerLink (Online service)
TI  - Intelligent Techniques for Data Science
SN  - 9783319292069
AV  - QA76.9.D343 
U1  - 006.312 23
PY  - 2016///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computer science
KW  - Knowledge management
KW  - Data mining
KW  - Artificial intelligence
KW  - Computer Science
KW  - Data Mining and Knowledge Discovery
KW  - Artificial Intelligence (incl. Robotics)
KW  - Knowledge Management
N1  - 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
N2  - This textbook provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. These embrace the family of neural networks, fuzzy systems and evolutionary computing in addition to other fields within machine learning, and will help in identifying, visualizing, classifying and analyzing data to support business decisions. The authors, discuss advantages and drawbacks of different approaches, and present a sound foundation for the reader to design and implement data analytic solutions for applications in an intelligent manner. Intelligent Techniques for Data Science also provides real-world cases of extracting value from data in various domains such as retail, health, aviation, telecommunication and tourism
UR  - http://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-319-29206-9
ER  -