ACM India Joint International Conference on
Data Science & Management of Data
8th ACM IKDD CODS and 26th COMAD
2-4 January 2021
Important Update: In response to the ongoing pandemic, we have decided to organize the conference in a fully virtual mode while retaining the same dates i.e. 2nd-4th January, 2021. For more details, please refer to the message from GCs and check the conference website regularly for updates.
The ACM India Joint International Conference on Data Science and Management of Data (CODS-COMAD) 2021 (8th ACM IKDD CODS and 26th COMAD), will be held on January 2-4, 2021.
For over two decades, the International Conference on Management of Data (COMAD), modelled along the lines of ACM SIGMOD, has been the premier international database conference hosted in India by Division II of Computer Society of India. The first COMAD was held in 1989, and it has been held on a nearly annual basis since then (except for a few breaks such as in the years when VLDB and ICDE were held in India). CODS started in 2014 as a very successful conference with an excellent program and has been growing very strongly since then on the base growing interest in AI/Machine Learning/Data Science. These two conferences came together for the first time in 2018. This year again, we are bringing together the two related communities closer under a common umbrella.
Topics of Interest
Databases
Transaction processing, query processing, query optimisation, indexing and storage, distributed data platforms, spatio-temporal databases, RDBMS, NoSQL systems, key-value stores, cloud data management, big data systems, data cleansing, data analytics, data integration, benchmarking, tuning and testing, graph database management, security and privacy.
Data Science
Data pre-processing, classification and regression, parallel and distributed learning, semi- and unsupervised learning, matrix and tensor methods, graph mining, network analytics, reinforcement learning, feature engineering, deep learning, Bayesian methods, time series analysis, optimization, graphical models, relational models, text analytics and NLP, information retrieval, knowledge representation, knowledge-based systems, human-in-the-loop learning, planning and reasoning, ML for mobiles and other resource constrained environments, data mining, causality, fairness accountability and transparency, interpretability.
Applications
Social network analysis, recommender systems, online advertising, bioinformatics, computational neuroscience, systems biology, multimedia processing, crowdsourcing, robotics and autonomous systems, analytics on sensor networks and IoT, computer vision, surveillance/monitoring and anomaly detection in networked systems, urban computing, and technology for emerging markets.
Important Dates
Research Track
Industry Track
Technology Showcase
Tutorial Track
Demo Track
Young Researchers' Symposium Track
Platinum Sponsors
Diamond Sponsors
Silver Sponsors
