The ACM India Joint International Conference on

Data Science & Management of Data

CoDS-COMAD 2018 | 5th ACM IKDD CoDS and 23rd COMAD

ICG, GOA. 11 -13 Jan 2018

Proceedings - ACM DL
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The Proceedings for the conference is available at ACM DL

The ACM India Joint International Conference on Data Science and Management of Data (CoDS-COMAD) 2018 (5th ACM IKDD CoDS and 23rd COMAD), will be held at International Centre Goa, India on January 11 - 13, 2018.

For over two decades, the International Conference on Management of Data (COMAD), modeled 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). COMAD has always had a significant international participation, with about 30% of the papers being from outside India, including Europe, USA and East/South-East Asia.

Conference on Data Sciences (CoDS) encompasses the areas of data analytics, machine learning and managing big data. IKDD shall work with ACM to ensure co-sponsorship and publication of the proceedings of CoDS in the ACM digital library.

Important Dates

22 AUG

15 AUG Submission Date

15 OCT

Notification Date

01 NOV

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Areas of Interest

Data Science

  • Classification and Regression, Semi-supervised and Unsupervised Learning
  • Parallel and Distributed Learning, Matrix and Tensor Methods, Graph Mining
  • Deep Learning, Reinforcement Learning
  • Dimensionality Reduction, Bayesian Methods, Graphical Models
  • Time Series Analysis, Optimization


  • Text analytics, NLP, Information Retrieval, Social Network Analysis
  • Recommender Systems, Online Advertising
  • Bioinformatics, Computational Neuroscience, Systems Biology
  • Multimedia Processing, Crowdsourcing
  • Education, Technology for Emerging Markets
  • Robotics


  • Transaction Processing, Query Processing
  • Indexing and Storage
  • Distributed Data Platforms, Key Value Stores
  • Big Data Systems, Data Cleaning
  • Data Analytics and Data Integration
  • Benchmarking
  • Tuning, Testing

Case Studies

  • For the conference’s industry track we invite papers reporting descriptions of deployments of database and science solutions in industry and government that address real-world challenges and highlight new and important research directions for data science. These case studies could be drawn from areas such as, but not limited to, education, transportation, real-estate, manufacturing, finance, retail, healthcare, e-commerce, telecommunications, social media, law, public policy, and computational advertising.



In cooperation with