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Computer Science

D-Index
37
Citations
8287
World Ranking
10540
National Ranking
4417

Overview

Venkatesh Ganti is affiliated with Google in the United States. Their recent research contributions span areas related to computing, privacy-preserving analytics, and engineering applications in challenging environments.

Among the recent publications by Venkatesh Ganti are two papers published in 2025. The first is titled Federated Edge Computing for Privacy-Preserving Analytics in Healthcare and IoT Systems, appearing in the International Journal of Computer Trends and Technology. The second paper is A domain-adaptive deep learning-empowered integrative framework for condition monitoring of the underwater mooring system under unseen wave conditions, published in the journal Ocean Engineering.

The frequent coauthors who have collaborated with Venkatesh Ganti include:

  • Ravi Kumar Vankayalapati
  • R. Sharmikha Sree
  • Shashikala Valiki
  • Yixuan Liu
  • Shangyan Zou

Regarding publication venues, Venkatesh Ganti's work is found predominantly in:

  • International Journal of Computer Trends and Technology
  • Ocean Engineering

Best Publications

  • A Primitive Operator for Similarity Joins in Data Cleaning

    S. Chaudhuri;V. Ganti;R. Kaushik

  • CACTUS—clustering categorical data using summaries

    Venkatesh Ganti;Johannes Gehrke;Raghu Ramakrishnan

  • Robust and efficient fuzzy match for online data cleaning

    Surajit Chaudhuri;Kris Ganjam;Venkatesh Ganti;Rajeev Motwani

  • Efficient exact set-similarity joins

    Arvind Arasu;Venkatesh Ganti;Raghav Kaushik

  • Eliminating fuzzy duplicates in data warehouses

    Rohit Ananthakrishna;Surajit Chaudhuri;Venkatesh Ganti

  • BOAT—optimistic decision tree construction

    Johannes Gehrke;Venkatesh Ganti;Raghu Ramakrishnan;Wei-Yin Loh

  • RainForest - A Framework for Fast Decision Tree Construction of Large Datasets

    Johannes Gehrke;Raghu Ramakrishnan;Venkatesh Ganti

  • Mining very large databases

    V. Ganti;J. Gehrke;R. Ramakrishnan

  • Robust identification of fuzzy duplicates

    S. Chaudhuri;V. Ganti;R. Motwani

  • DEMON: mining and monitoring evolving data

    V. Ganti;J. Gehrke;R. Ramakrishnan

  • Clustering large datasets in arbitrary metric spaces

    V. Ganti;R. Ramakrishnan;J. Gehrke;A. Powell

  • Mining data streams under block evolution

    Venkatesh Ganti;Johannes Gehrke;Raghu Ramakrishnan

  • Database technology for decision support systems

    S. Chaudhuri;U. Dayal;V. Ganti

  • Mining reference tables for automatic text segmentation

    Eugene Agichtein;Venkatesh Ganti

  • A framework for measuring changes in data characteristics

    Venkatesh Ganti;Johannes Gehrke;Raghu Ramakrishnan

  • Efficient fuzzy match for evaluating data records

    Surajit Chaudhuri;Kris Ganjam;Venkatesh Ganti;Rajeev Motwani

  • ICICLES: Self-Tuning Samples for Approximate Query Answering

    Venkatesh Ganti;Mong-Li Lee;Raghu Ramakrishnan

  • BOAT—optimistic decision tree construction

    Unknown

  • Duplicate data elimination system

    Rahul Kapoor;Venkatesh Ganti;Surajit Chaudhuri

  • Fast approximate answers to aggregate queries on a data cube

    V. Poosala;V. Ganti

  • Detecting duplicate records in databases

    Surajit Chaudhuri;Venkatesh Ganti;Rohit Ananthakrishna

  • An efficient filter for approximate membership checking

    Kaushik Chakrabarti;Surajit Chaudhuri;Venkatesh Ganti;Dong Xin

  • Data Cleaning

    Unknown

  • Example-driven design of efficient record matching queries

    Surajit Chaudhuri;Bee-Chung Chen;Venkatesh Ganti;Raghav Kaushik

Frequent Co-Authors

Surajit Chaudhuri
Surajit Chaudhuri Microsoft (United States)
Dong Xin
Dong Xin Google (United States)
Kaushik Chakrabarti
Kaushik Chakrabarti Microsoft (United States)
Anish Das Sarma
Anish Das Sarma Google (United States)
Johannes Gehrke
Johannes Gehrke Microsoft (United States)
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Rajeev Motwani
Rajeev Motwani Stanford University
Luis Gravano
Luis Gravano Columbia University
Arvind Arasu
Arvind Arasu Microsoft (United States)
Karl Aberer
Karl Aberer École Polytechnique Fédérale de Lausanne

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