Abdulhakim Ali Qahtan

Orcid: 0000-0001-8254-1764

Affiliations:
  • Utrecht University, The Netherlands
  • Qatar Computing Research Institute, Doha, Qatar (2016 - 2019)
  • King Abdullah University of Science and Technology, Thuwal, Saudi Arabia (PhD 2016)
  • King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia (former)


According to our database1, Abdulhakim Ali Qahtan authored at least 18 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
SynODC: Utilizing the Syntactic Structure for Outlier Detection in Categorical Attributes.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

DetCat: Detecting Categorical Outliers in Relational Datasets.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
PrefixCDD: Effective Online Concept Drift Detection over Event Streams using Prefix Trees.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022
Manipulation detection in cryptocurrency markets: an anomaly and change detection based approach.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

2020
Pattern Functional Dependencies for Data Cleaning.
Proc. VLDB Endow., 2020

2019
ANMAT: Automatic Knowledge Discovery and Error Detection through Pattern Functional Dependencies.
Proceedings of the 2019 International Conference on Management of Data, 2019

2018
FAHES: A Robust Disguised Missing Values Detector.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

KDE-Track: An Efficient Dynamic Density Estimator for Data Streams (Extended Abstract).
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

FAHES: Detecting Disguised Missing Values.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Building Data Civilizer Pipelines with an Advanced Workflow Engine.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Seeping Semantics: Linking Datasets Using Word Embeddings for Data Discovery.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017
KDE-Track: An Efficient Dynamic Density Estimator for Data Streams.
IEEE Trans. Knowl. Data Eng., 2017

A Demo of the Data Civilizer System.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

2016
Minimizing User Involvement for Learning Human Mobility Patterns from Location Traces.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
A PCA-Based Change Detection Framework for Multidimensional Data Streams: Change Detection in Multidimensional Data Streams.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
A New Study of Two Divergence Metrics for Change Detection in Data Streams.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2012
Efficient estimation of dynamic density functions with an application to outlier detection.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2009
Implementation and experimental performance evaluation of a hybrid interrupt-handling scheme.
Comput. Commun., 2009


  Loading...