International Conference on Data Science & Management of Data

International Conference on Data Science & Management of Data, transaction processing, query processing, query optimization, indexing and storage, distributed data platforms, RDBMS, NoSQL systems, key-value stores, big data systems, data cleansing, data analytics, data integration, benchmarking, tuning and testing, 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, social network analysis, recommender systems, online advertising, bioinformatics, computational neuroscience, systems biology, multimedia processing, crowdsourcing, education, agriculture, healthcare, 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.