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Presentations, Abstracts, or Demonstrations (740)

Published on in Vol 6, No 1 (2014):

Non-Parametric Scan Statistics for Disease Outbreak Detection on Twitter

Non-Parametric Scan Statistics for Disease Outbreak Detection on Twitter

Non-Parametric Scan Statistics for Disease Outbreak Detection on Twitter

Authors of this article:

Feng Chen1 ;   Daniel B. Neill1
The full text of this article is available as a PDF download by clicking here.
Article Authors Cited by (6) Tweetations Metrics

Journals

  1. Cadena J, Chen F, Vullikanti A. Near-Optimal and Practical Algorithms for Graph Scan Statistics with Connectivity Constraints. ACM Transactions on Knowledge Discovery from Data 2019;13(2):1 View
  2. Zhang S, Zhou H, Chen F, Li J. A Bisubmodular Approach to Event Detection and Prediction in Multivariate Social Graphs. IEEE Transactions on Computational Social Systems 2021;8(1):161 View
  3. Cadena J, Chen F, Vullikanti A. Graph Anomaly Detection Based on Steiner Connectivity and Density. Proceedings of the IEEE 2018;106(5):829 View
  4. Fu Z, Zhou K, Sun Y, Han Y. Irregularly Shaped Cluster Detection Using a CPSO Distribution-Free Spatial Scan Statistic. IEEE Access 2017;5:24863 View
  5. Zhao J, Li J, Zhou B, Chen F, Tomchik P, Ju W. Parallel algorithms for anomalous subgraph detection. Concurrency and Computation: Practice and Experience 2017;29(3) View

Conference Proceedings

  1. Borges J, Bozsoky P, Sudrich S, Beigl M. 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData). Advances in Event Detection View