Research Areas

My work spans data curation, bias analysis and algorithmic fairness, and data stream mining.

Book Chapters

2023
Machine Learning—Evaluation (Cross-validation, Metrics, Importance Scores)
Qahtan, A.
In Book: Clinical Applications of Artificial Intelligence in Real-World Data, pp.175-187
2019
Efficient Estimation of Dynamic Density Functions with Applications in Data Streams: Methods and Applications
Qahtan, A., Wang, S., Zhang, X.
In Book: Learning from Data Streams in Evolving Environments, pp.247-278.

Research Papers

2024
SynODC: Utilizing the Syntactic Structure for Outlier Detection in Categorical Attributes
Zylinski, A., Qahtan, A.
In ECML/PKDD'24
2024
SynthFair: Ensuring Subgroup Fairness in Classification via Synthetic Data Generation
Hattatoglu, B., Qahtan, A., Kaya, H., Velegrakis, Y.
In ICDATA'24
2024
TGAIN: Missing Data Imputation for Mixed-Type Relational Datasets using Generative Adversarial Networks
Bannany, O., Qahtan, A.
In ICDATA'24
2024
FIONA: Detecting Syntactical Outliers in Attributes with Categorical Values
Tsiamis, T., Qahtan, A.
In ICDATA'24
2023
PrefixCDD: Effective Online Concept Drift Detection over Event Streams using Prefix Trees
Huete, J., Qahtan, A., Hassani, M.
In the IEEE Computer Society Signature Conference on Computers, Software, and Applications, COMPSAC'23
2022
Manipulation detection in cryptocurrency markets: an anomaly and change detection based approach
Kampers, O., Qahtan, A., Mathur, S., Velegrakis, Y.
In SAC'22
2020
Pattern Functional Dependencies for Data Cleaning
Qahtan, A., Tang, N., Ouzzani, M., Cao, Y., Stonebraker, M.
In PVLDB'20
2018
FAHES: A Robust Disguised Missing Values Detector
Qahtan, A., Elmagarmid, A., Fernandez, R., Ouzzani, M., Tang, N.
In SIGKDD'18
2018
Seeping Semantics: Linking Datasets using Word Embeddings for Data Discovery
Fernandez, R., Mansour, E., Qahtan, A., Elmagarmid, A., Ilyas, I., Madden, S., Ouzzani, M., Stonebraker, M., Tang, N.
In ICDE'18
2017
KDE-Track: An Efficient Dynamic Density Estimator for Data Streams
Qahtan, A., Wang, S. and Zhang, X.
In TKDE'17
2016
Minimizing User Involvement for Learning Human Mo- bility Patterns from Location Traces
Alharbi, B., Qahtan, A., Zhang, X.
In AAAI’16
2015
A PCA-Based Change Detection Framework for Multidimensional Data Streams
Qahtan, A., Alharbi, B., Wang, S., Zhang, X.
In SIGKDD'15
2014
A New Study of Two Divergence Metrics for Change Detection in Data Streams
Qahtan, A., Wang, S., Carroll, R. J., Zhang, X.
ECAI'14
2012
Efficient Estimation of Dynamic Density Functions with an Application to Outlier Detection
Qahtan, A., Zhang, X., Wang, S.
In CIKM'12
2010
Performance Evaluation Comparison of Snort NIDS under Linux and Windows Server
Salah, K. and Kahtani, A.
Journal of Network and Computer Applications
2009
Implementation and Experimental Performance Evaluation of a Hybrid Interrupt-Handling Scheme
Salah, K. and Qahtan, A.
Journal of Computer Communications
2009
Improving Snort Performance under Linux
Salah, K. and Kahtani, A.
Journal of IET Communications

Demo Papers

2026
CAED: Context-Aware Data Cleaning Tool
Roestenburg, J., Qahtan, A.
In ICDCS'26
2025
FIONA: Detecting Outliers in Attributes of Relational Datasets with Categorical Values
Tsiamis, T., Qahtan, A.
In ICDCS'25 (Best Demo Award)
2024
DetCat: Detecting Categorical Outliers in Relational Datasets
Zylinski, A., Qahtan, A.
In CIKM'24
2019
ANMAT: Automatic Knowledge Discovery and Error Detection through Pattern Functional Dependencies
Qahtan, A., Tang, N., Ouzzani, M., Cao, Y., Stonebraker, M.
In SIGMOD'19
2018
FAHES: Detecting Disguised Missing Values
Qahtan, A., Elmagarmid, A., Ouzzani, M., Tang, N.
In ICDE'18
2018
Building Data Civilizer Pipelines with an Advanced Workflow Engine
Mansour, E., Deng, D., Fernandez, R., Qahtan, A., Tao, W., Abedjan, Z., Elmagarmid, A., Ilyas, I., Madden, S., Ouzzani, M., Stonebraker, M., Tang, N.
In ICDE'18
2017
A Demo of the Data Civilizer System
Fernandez, R., Deng, D., Mansour, E., Qahtan, A., Tao, W., Abedjan, Z., Elmagarmid, A., Ilyas, I., Madden, S., Ouzzani, M., Stonebraker, M., Tang, N.
In SIGMOD'17
More Details on Google Scholar →