Ahsanul Haque

According to our database, Ahsanul Haque authored at least 20 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MyRaft: High Availability in MySQL using Raft.

Anirban Rahut, Vinaykumar Bhat, Abhinav Sharma, Yichen Shen, Bartlomiej Pelc, Chi Li, Ahsanul Haque, Yash Botadra, Xi Wang, Michael Percy, Ritwik Yadav, Yoshinori Matsunobu, Alan Liang, Igor Pozgaj, Tobias Asplund, Anatoly Karp, Luqun Lou, Pushap Goyal

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2018

Ensemble Direct Density Ratio Estimation for Multistream Classification.

Swarup Chandra, Ahsanul Haque, Hemeng Tao, Jie Liu, Latifur Khan, Charu C. Aggarwal

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

A Framework for Multistream Regression With Direct Density Ratio Estimation.

Ahsanul Haque, Hemeng Tao, Swarup Chandra, Jie Liu, Latifur Khan

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Efficient Multistream Classification Using Direct Density Ratio Estimation.

Ahsanul Haque, Swarup Chandra, Latifur Khan, Kevin W. Hamlen, Charu C. Aggarwal

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

FUSION: An Online Method for Multistream Classification.

Ahsanul Haque, Zhuoyi Wang, Swarup Chandra, Bo Dong, Latifur Khan, Kevin W. Hamlen

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Multistream regression with asynchronous concept drift detection.

Bo Dong, Yifan Li, Yang Gao, Ahsanul Haque, Latifur Khan, Mohammad M. Masud

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Efficient Sampling-Based Kernel Mean Matching.

Swarup Chandra, Ahsanul Haque, Latifur Khan, Charu C. Aggarwal

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Efficient handling of concept drift and concept evolution over Stream Data.

Ahsanul Haque, Latifur Khan, Michael Baron, Bhavani Thuraisingham, Charu C. Aggarwal

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

An Adaptive Framework for Multistream Classification.

Swarup Chandra, Ahsanul Haque, Latifur Khan, Charu C. Aggarwal

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Sampling-based distributed Kernel mean matching using spark.

Ahsanul Haque, Zhuoyi Wang, Swarup Chandra, Yupeng Gao, Latifur Khan, Charu C. Aggarwal

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data Stream.

Ahsanul Haque, Latifur Khan, Michael Baron

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Semi Supervised Adaptive Framework for Classifying Evolving Data Stream.

Ahsanul Haque, Latifur Khan, Michael Baron

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

2014

Evolving stream classification using change detection.

Ahmad M. Mustafa, Ahsanul Haque, Latifur Khan, Michael Baron, Bhavani Thuraisingham

Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, 2014

MapReduce guided approximate inference over graphical models.

Ahsanul Haque, Swarup Chandra, Latifur Khan, Michael Baron

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Distributed Adaptive Importance Sampling on graphical models using MapReduce.

Ahsanul Haque, Swarup Chandra, Latifur Khan, Charu C. Aggarwal

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Evolving Big Data Stream Classification with MapReduce.

Ahsanul Haque, Brandon Parker, Latifur Khan, Bhavani Thuraisingham

Proceedings of the 2014 IEEE 7th International Conference on Cloud Computing, Anchorage, AK, USA, June 27, 2014

2013

MapReduce Based Frameworks for Classifying Evolving Data Stream.

Ahsanul Haque, Latifur Khan

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Intelligent MapReduce Based Framework for Labeling Instances in Evolving Data Stream.

Ahsanul Haque, Brandon Parker, Latifur Khan, Bhavani Thuraisingham

Proceedings of the IEEE 5th International Conference on Cloud Computing Technology and Science, 2013

Labeling Instances in Evolving Data Streams with MapReduce.

Ahsanul Haque, Brandon Parker, Latifur Khan

Proceedings of the IEEE International Congress on Big Data, 2013

2010

Efficient contention resolution in MAC protocol for periodic data collection in WSNs.

Ahsanul Haque, M. Manzur Murshed, Mortuza Ali

Proceedings of the 6th International Wireless Communications and Mobile Computing Conference, 2010