World's Best Scientists 2026 revealed!

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Computer Science

D-Index
83
Citations
44552
World Ranking
882
National Ranking
481

Research.com Recognitions

  • 2012 - ACM Fellow For contributions to the analysis and management of large data sets.

Overview

Rajeev Rastogi is affiliated with Amazon in the United States. They conduct research primarily within the fields of Computer Science and Medicine, with three publications related to Computer Science and two related to Medicine. Their work spans a number of subfields including Artificial Intelligence, Modeling and Simulation, Epidemiology, and Infectious Diseases.

Their research topics cover a range of areas such as COVID-19 epidemiological studies, data-driven disease surveillance, SARS-CoV-2 detection and testing, machine learning and data classification, anomaly detection techniques and applications, and data stream mining techniques. This interdisciplinary approach highlights a focus on both computational methods and their applications in healthcare and infectious disease monitoring.

Rastogi's papers have appeared in venues such as arXiv (Cornell University), where they have published two recent papers:

  • CRISP: A Probabilistic Model for Individual-Level COVID-19 Infection Risk Estimation Based on Contact Data, 2020, arXiv (Cornell University)
  • Leveraging Uncertainty Estimates To Improve Classifier Performance, 2023, arXiv (Cornell University)

Their list of frequent co-authors includes:

  • Ralf Herbrich
  • Roland Vollgraf
  • Gundeep Arora
  • Srujana Merugu
  • Anoop Saladi

In 2012, Rajeev Rastogi was awarded the ACM Fellow distinction for contributions to the analysis and management of large data sets.

Best Publications

  • Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

    Balaji Krishnapuram;Mohak Shah;Alex Smola;Charu Aggarwal

  • Cure: an efficient clustering algorithm for large databases

    Sudipto Guha;Rajeev Rastogi;Kyuseok Shim

  • CURE: an efficient clustering algorithm for large databases

    Sudipto Guha;Rajeev Rastogi;Kyuseok Shim

  • ROCK: a robust clustering algorithm for categorical attributes

    Sudipto Guha;Rajeev Rastogi;Kyuseok Shim

  • Efficient algorithms for mining outliers from large data sets

    Sridhar Ramaswamy;Rajeev Rastogi;Kyuseok Shim

  • ROCK: a robust clustering algorithm for categorical attributes

    S. Guha;R. Rastogi;K. Shim

  • Mining sequential patterns with regular expression constraints

    M. Garofalakis;R. Rastogi;K. Shim

  • Approximate Query Processing Using Wavelets

    Kaushik Chakrabarti;Minos N. Garofalakis;Rajeev Rastogi;Kyuseok Shim

  • SPIRIT: Sequential Pattern Mining with Regular Expression Constraints

    Minos N. Garofalakis;Rajeev Rastogi;Kyuseok Shim

  • Efficient filtering of XML documents with XPath expressions

    C.-Y. Chan;P. Felber;M. Garofalakis;R. Rastogi

  • A cost-based model and effective heuristic for repairing constraints by value modification

    Philip Bohannon;Wenfei Fan;Michael Flaster;Rajeev Rastogi

  • Processing complex aggregate queries over data streams

    Alin Dobra;Minos Garofalakis;Johannes Gehrke;Rajeev Rastogi

  • Graph summarization with bounded error

    Saket Navlakha;Rajeev Rastogi;Nisheeth Shrivastava

  • PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning

    Rajeev Rastogi;Kyuseok Shim

  • Provisioning a virtual private network: a network design problem for multicommodity flow

    Anupam Gupta;Jon Kleinberg;Amit Kumar;Rajeev Rastogi

  • Querying and mining data streams: you only get one look a tutorial

    Minos Garofalakis;Johannes Gehrke;Rajeev Rastogi

  • WALRUS: a similarity retrieval algorithm for image databases

    Apostol Natsev;Rajeev Rastogi;Kyuseok Shim

  • XTRACT: a system for extracting document type descriptors from XML documents

    Minos Garofalakis;Aristides Gionis;Rajeev Rastogi;S. Seshadri

  • Efficient filtering of XML documents with XPath expressions

    Chee-Yong Chan;P. Felber;M. Garofalakis;R. Rastogi

  • Topology discovery in heterogeneous IP networks

    Y. Breitbart;M. Garofalakis;C. Martin;R. Rastogi

  • WALRUS: a similarity retrieval algorithm for image databases

    A. Natsev;Rajeev Rastogi;K. Shim

Frequent Co-Authors

Minos Garofalakis
Minos Garofalakis Technical University of Crete
Kyuseok Shim
Kyuseok Shim Seoul National University
Yuri Breitbart
Yuri Breitbart Kent State University
Abraham Silberschatz
Abraham Silberschatz Yale University
Sundararajarao Sudarshan
Sundararajarao Sudarshan Indian Institute of Technology Bombay
Henry F. Korth
Henry F. Korth Lehigh University
Wenfei Fan
Wenfei Fan University of Edinburgh
Johannes Gehrke
Johannes Gehrke Microsoft (United States)
Anupam Gupta
Anupam Gupta Carnegie Mellon University
Sharad Mehrotra
Sharad Mehrotra University of California, Irvine

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