TY  - BOOK
AU  - Sharma,Sanjeev
AU  - Peng,Sheng-Lung
AU  - Agrawal,Jitendra
AU  - Shukla,Rajesh K.
AU  - Le,Dac-Nhuong
TI  - Data, Engineering and Applications: Select Proceedings of IDEA 2021 
T2  - Lecture Notes in Electrical Engineering,
SN  - 9789811946875
U1  - 620.00285 23
PY  - 2022///
CY  - Singapore
PB  - Springer Nature Singapore, Imprint: Springer
KW  - Engineering-Data processing
KW  - Information technology-Management
KW  - Machine learning
KW  - Big data
KW  - Data Engineering
KW  - Computer Application in Administrative Data Processing
KW  - Machine Learning
KW  - Big Data
N1  - 1. Medical Assistance Chatbot using Deep Learning -- 2. Distortion Controlled Secure Reversible Data Hiding in H.264 videos -- 3. A Method for improving Efficiency and Security of FANET using Chaotic Black Hole Optimization based Routing (BHOR) Technique -- 4. Machine Learning Techniques for Intrusion Detection System: A Survey -- 5. Software Fault Detection by using Rider Optimization Algorithm (ROA) based Deep Neural Network (DNN) -- 6. An Approach for Predicting Admissions in Post Graduate Program by using Machine Learning -- 7. A Survey on Various Representation Learning of Hypergraph for Unsupervised Feature Selection -- 8. A brief study of time series forecasting technique using linear regression, SVM, LSTM, ARIMA and SARIMA -- 9. Adoption of Blockchain Technology for Storage & Verification of Educational Documents -- 10. Obstacle Collision Prediction model for Path Planning Using Obstacle Trajectory Clustering
N2  - The book contains select proceedings of the 3rd International Conference on Data, Engineering, and Applications (IDEA 2021). It includes papers from experts in industry and academia that address state-of-the-art research in the areas of big data, data mining, machine learning, data science, and their associated learning systems and applications. This book will be a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of big data applications
UR  - https://doi.org/10.1007/978-981-19-4687-5
ER  -