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20012025
most citedOn Addressing Efficiency Concerns in Privacy Preserving Data Mining

5 citations · 7 across the 6 of their papers we have counts for

collaborators

7 papers

cs.DB2025

Xpose: Bi-directional Engineering for Hidden Query Extraction

Ahana Pradhan, Jayant Haritsa

Query reverse engineering (QRE) aims to synthesize a SQL query to connect a given database and result instance. A recent variation of QRE is where an additional input, an opaque ex…

cs.DB2025

Query Rewriting via LLMs

Sriram Dharwada, Himanshu Devrani, Jayant Haritsa +1

When complex SQL queries suffer slow executions despite query optimization, DBAs typically invoke automated query rewriting tools to recommend ``lean'' equivalents that are conduci…

cs.DB2004★ 1 cited

A Framework for High-Accuracy Privacy-Preserving Mining

Shipra Agrawal, Jayant R. Haritsa

To preserve client privacy in the data mining process, a variety of techniques based on random perturbation of data records have been proposed recently. In this paper, we present a…

cs.DB2003★ 5 cited

On Addressing Efficiency Concerns in Privacy Preserving Data Mining

Shipra Agrawal, Vijay Krishnan, Jayant Haritsa

Data mining services require accurate input data for their results to be meaningful, but privacy concerns may influence users to provide spurious information. To encourage users to…

cs.DB2003

Supporting Exploratory Queries in Database Centric Web Applications

Abhijit Kadlag, Amol Wanjari, Juliana Freire +1

Users of database-centric Web applications, especially in the e-commerce domain, often resort to exploratory ``trial-and-error'' queries since the underlying data space is huge and…

cs.DB2003★ 1 cited

Providing Diversity in K-Nearest Neighbor Query Results

Anoop Jain, Parag Sarda, Jayant R. Haritsa

Given a point query Q in multi-dimensional space, K-Nearest Neighbor (KNN) queries return the K closest answers according to given distance metric in the database with respect to Q…