Emerging Technologies in Data Mining and Information Security Proceedings of IEMIS 2018, Volume 2 /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Abraham, Ajith (Editor, http://id.loc.gov/vocabulary/relators/edt), Dutta, Paramartha (Editor, http://id.loc.gov/vocabulary/relators/edt), Mandal, Jyotsna Kumar (Editor, http://id.loc.gov/vocabulary/relators/edt), Bhattacharya, Abhishek (Editor, http://id.loc.gov/vocabulary/relators/edt), Dutta, Soumi (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Advances in Intelligent Systems and Computing, 813
• Subjects: Computational intelligence.; Artificial intelligence.; Computer security.; Computational Intelligence.; Artificial Intelligence.; Systems and Data Security.
• Physical Description: XXX, 885 p. 315 illus., 231 illus. in color. online resource.
• ISBN: 9789811314988
• ISSN: 2194-5357 ;
• DOI: 10.1007/978-981-13-1498-8

The book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23-25, 2018. It comprises high-quality research by academics and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, case studies related to all the areas of data mining, machine learning, IoT and information security.