papers

Publications (11)

cs.DB2022

Discovery of Keys for Graphs [Extended Version]

Morteza Alipourlangouri, Fei Chiang

Keys for graphs uses the topology and value constraints needed to uniquely identify entities in a graph database. They have been studied to support object identification, knowledge…

cs.DB2020

Diversifying Anonymized Data with Diversity Constraints

Mostafa Milani, Yu Huang, Fei Chiang

Recently introduced privacy legislation has aimed to restrict and control the amount of personal data published by companies and shared to third parties. Much of this real data is…

cs.DB2025

Adaptive Anomaly Detection in the Presence of Concept Drift: Extended Report

Jongjun Park, Fei Chiang, Mostafa Milani

The presence of concept drift poses challenges for anomaly detection in time series. While anomalies are caused by undesirable changes in the data, differentiating abnormal changes…

stat.AP2020

A decision integration strategy for short-term demand forecasting and ordering for red blood cell components

Na Li, Fei Chiang, Douglas G. Down +1

Blood transfusion is one of the most crucial and commonly administered therapeutics worldwide. The need for more accurate and efficient ways to manage blood demand and supply is an…

cs.DB2022

Temporal Graph Functional Dependencies [Extended Version]

Morteza Alipourlangouri, Adam Mansfield, Fei Chiang +1

Data dependencies have been extended to graphs to characterize topological and value constraints. Existing data dependencies are defined to capture inconsistencies in static graphs…

cs.DB2026

Data Profiling for Change Rules

Nishttha Sharma, Fei Chiang

Understanding data change is critical towards understanding trends, normal vs. abnormal behaviours, recognizing patterns, and the causes of change. Existing database systems have l…