2 citations · 4 across the 5 of their papers we have counts for
4 papers · 1 filter
Sensitivity estimation for differentially private query processing
Meifan Zhang, Xin Liu, Lihua Yin
Differential privacy has become a popular privacy-preserving method in data analysis, query processing, and machine learning, which adds noise to the query result to avoid leaking…
Approximate Query Processing for Group-By Queries based on Conditional Generative Models
Meifan Zhang, Hongzhi Wang
The Group-By query is an important kind of query, which is common and widely used in data warehouses, data analytics, and data visualization. Approximate query processing is an eff…
LAQP: Learning-based Approximate Query Processing
Meifan Zhang, Hongzhi Wang
Querying on big data is a challenging task due to the rapid growth of data amount. Approximate query processing (AQP) is a way to meet the requirement of fast response. In this pap…
Diversification on Big Data in Query Processing
Meifan Zhang, Hongzhi Wang, Jianzhong Li +1
Recently, in the area of big data, some popular applications such as web search engines and recommendation systems, face the problem to diversify results during query processing. I…