S
Sanjay Chawla
Researcher at Qatar Computing Research Institute
Publications - 228
Citations - 7909
Sanjay Chawla is an academic researcher from Qatar Computing Research Institute. The author has contributed to research in topics: Anomaly detection & Graph (abstract data type). The author has an hindex of 40, co-authored 217 publications receiving 6817 citations. Previous affiliations of Sanjay Chawla include Massachusetts Institute of Technology & Information Technology University.
Papers
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Book
Spatial Databases: A Tour
Shashi Shekhar,Sanjay Chawla +1 more
TL;DR: An introduction to Spatial Databases and Trends in Spatial Data Mining.
Posted Content
Deep Learning for Anomaly Detection: A Survey.
TL;DR: A structured and comprehensive overview of research methods in deep learning-based anomaly detection, grouped state-of-the-art research techniques into different categories based on the underlying assumptions and approach adopted.
Proceedings ArticleDOI
Discovering spatio-temporal causal interactions in traffic data streams
TL;DR: Algorithms which construct outlier causality trees based on temporal and spatial properties of detected outliers reveal not only recurring interactions among spatio-temporal outliers, but potential flaws in the design of existing traffic networks.
Posted Content
Anomaly Detection using One-Class Neural Networks.
TL;DR: A comprehensive set of experiments demonstrate that on complex data sets (like CIFAR and PFAM), OC-NN significantly outperforms existing state-of-the-art anomaly detection methods.
Proceedings Article
k-means--: A Unified Approach to Clustering and Outlier Detection
Sanjay Chawla,Aristides Gionis +1 more
TL;DR: It is proved that the problem is NP-hard and then a practical polynomial time algorithm is presented, which is guaranteed to converge to a local optimum, and the approach is formalized as a generalization of the k-means problem.