First ICACDS (International Conference on Advances in Computing and Data Sciences) conference was held in 2016 at Krishna Engineering College, Ghaziabad, Uttar Pradesh, India and Second ICACDS in 2018 at Uttaranchal University, Dehradun, Uttarakhand, India.
ICACDS is the one of the premier, renowned, and biggest technical conference focused on all aspect of Advanced Computing and Data Sciences. Like the previous conferences, ICACDS 2019 will feature world-class speakers. The theme of ICACDS 2019 is “Advanced Computing and Data Sciences”.
Call for paper
ICACDS 2019 will feature both invited and contributed papers. The accepted and presented papers will be submitted to Communications in Computer and Information Science (CCIS) – Springer for publication, which is indexed by major databases like DBLP, Google Scholar, EI-Compendex, Mathematical Reviews, SCImago, Scopus. Prospective authors are invited to submit full papers with four of maximum ten pages in specified format by Springer.
Full Paper Submission Deadline December 31, 2018
Acceptance Notification Deadline February 12, 2019
Conference Registration Deadline February 25, 2019
Topics of submission
Advanced Algorithm – Advanced Computing Architectures and New Programming Models; Sequential, Parallel and Distributed Algorithms and Data Structures; Advanced Numerical Algorithms; Pervasive and Ubiquitous Computing Techniques; Constraint-Based Algorithms; Web Algorithms; Design and Analysis of Geometric Algorithms; Computational Methods and Algorithms; On-line and Streaming Algorithms; Graph Algorithms and Graph Drawing; High Performance Computing and Processing; High Performance Data Mining Algorithms; Machine Learning Theory; Prediction Theory.
Data Sciences – Predictive Modelling; Data Analytics; Change Detection; Medical informatics; Distributed and Parallel Algorithms for Data Science; Big Data Representation and Visualization; Business Intelligence, Data-Lakes, Big-Data Technologies; Text Analytics; Image Interpretations; Web Analytics; Mobile Analytics; High Performance Computing for Data Analytics; Knowledge Discovery Theories, Models and Systems; Human-Machine Interaction and Interfaces; Crowdsourcing and Collective Intelligence; Data Security.