TY  - GEN
N2  - This book presents best selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2020), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, during 13-14 March 2020. The proceeding will be targeting the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing and cloud computing.
DO  - 10.1007/978-981-15-5309-7
DO  - doi
AB  - This book presents best selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2020), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, during 13-14 March 2020. The proceeding will be targeting the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing and cloud computing.
T1  - Data science and security :proceedings of IDSCS 2020 /
DA  - [2021]
CY  - Singapore :
AU  - Jat, Dharm Singh.
AU  - Shukla, Samiksha.
AU  - Unal, Aynur.
AU  - Mishra, Durgesh Kumar.
VL  - v. 132
CN  - QA76.9.D343
PB  - Springer,
PP  - Singapore :
PY  - [2021]
N1  - International conference proceedings.
N1  - Includes author index.
ID  - 1431700
KW  - Data mining
KW  - Artificial intelligence
KW  - Computer security
KW  - Exploration de données (Informatique)
KW  - Intelligence artificielle
KW  - Sécurité informatique
SN  - 9789811553097
SN  - 9811553092
SN  - 9789811553103
SN  - 9811553106
SN  - 9789811553110
SN  - 9811553114
TI  - Data science and security :proceedings of IDSCS 2020 /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-15-5309-7
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-15-5309-7
ER  -