Data Management, Analytics and Innovation Proceedings of ICDMAI 2018, Volume 2 /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Balas, Valentina Emilia (Editor, http://id.loc.gov/vocabulary/relators/edt), Sharma, Neha (Editor, http://id.loc.gov/vocabulary/relators/edt), Chakrabarti, Amlan (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, 839
• Subjects: Electrical engineering.; Big data.; Data structures (Computer science).; Artificial intelligence.; Communications Engineering, Networks.; Big Data.; Data Structures.; Artificial Intelligence.
• Physical Description: XIX, 542 p. 196 illus., 124 illus. in color. online resource.
• ISBN: 9789811312748
• ISSN: 2194-5357 ;
• DOI: 10.1007/978-981-13-1274-8

The volume on Data Management, Analytics and Innovations presents the latest high-quality technical contributions and research results in the areas of data management and smart computing, big data management, artificial intelligence and data analytics along with advances in network technologies. It deals with the state-of-the-art topics and provides challenges and solutions for future development. Original, unpublished research work highlighting specific research domains from all viewpoints are contributed from scientists throughout the globe. This volume is mainly designed for professional audience, composed of researchers and practitioners in academia and industry.