Xuan-Hong Dang

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020

"The Squawk Bot": Joint Learning of Time Series and Text Data Modalities for Automated Financial Information Filtering.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

seq2graph: Discovering Dynamic Non-linear Dependencies from Multivariate Time Series.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

seq2graph: Discovering Dynamic Dependencies from Multivariate Time Series with Multi-level Attention.

[BibT_eX]

[DOI]

CoRR, 2018

Root Cause Detection using Dynamic Dependency Graphs from Time Series Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Learning Multiclassifiers with Predictive Features that Vary with Data Distribution.

[BibT_eX]

[DOI]

Omid Askarisichani

Ambuj K. Singh

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Unsupervised Threshold Autoencoder to Analyze and Understand Sentence Elements.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

GPOP: Scalable Group-level Popularity Prediction for Online Content in Social Networks.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on World Wide Web, 2017

Subnetwork Mining with Spatial and Temporal Smoothness.

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[DOI]

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

2016

Graph Wavelets via Sparse Cuts.

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[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Outlier Detection from Network Data with Subnetwork Interpretation.

[BibT_eX]

[DOI]

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

2015

A framework to uncover multiple alternative clusterings.

[BibT_eX]

[DOI]

Mach. Learn., 2015

Learning Predictive Substructures with Regularization for Network Data.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014

Generating multiple alternative clusterings via globally optimal subspaces.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2014

Discriminative Subnetworks with Regularized Spectral Learning for Global-State Network Data.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

On Critical Event Observability Using Social Networks: A Disaster Monitoring Perspective.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Military Communications Conference, 2014

Discriminative features for identifying and interpreting outliers.

[BibT_eX]

[DOI]

Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

2013

Outlier Detection with Space Transformation and Spectral Analysis.

[BibT_eX]

[DOI]

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

Local Outlier Detection with Interpretation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Explaining Outliers by Subspace Separability.

[BibT_eX]

[DOI]

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

2012

An Adaptive Algorithm for Finding Frequent Sets in Landmark Windows.

[BibT_eX]

[DOI]

Vincent C. S. Lee

Proceedings of the Scalable Uncertainty Management - 6th International Conference, 2012

Multiple Clustering Views via Constrained Projections.

[BibT_eX]

[DOI]

Ira Assent

Proceedings of the 3rd MultiClust Workshop: Discovering, 2012

2010

Generation of Alternative Clusterings Using the CAMI Approach.

[BibT_eX]

[DOI]

Proceedings of the SIAM International Conference on Data Mining, 2010

A hierarchical information theoretic technique for the discovery of non linear alternative clusterings.

[BibT_eX]

[DOI]

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009

Frequent Sets Mining in Data Stream Environments.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Density-based clustering of data streams at multiple resolutions.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2009

Incremental and Adaptive Clustering Stream Data over Sliding Window.

[BibT_eX]

[DOI]

Proceedings of the Database and Expert Systems Applications, 20th International Conference, 2009

An EM-Based Algorithm for Clustering Data Streams in Sliding Windows.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2009

2008

Approximation algorithms for mining patterns from data streams

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[DOI]

PhD thesis, 2008

Online mining of frequent sets in data streams with error guarantee.

[BibT_eX]

[DOI]

Wee Keong Ng

Knowl. Inf. Syst., 2008

2007

Discovering Frequent Sets from Data Streams with CPU Constraint.

[BibT_eX]

[DOI]

Proceedings of the Data Mining and Analytics 2007, 2007

2006

Adaptive Load Shedding for Mining Frequent Patterns from Data Streams.

[BibT_eX]

[DOI]

Wee Keong Ng

Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006

EStream: Online Mining of Frequent Sets with Precise Error Guarantee.

[BibT_eX]

[DOI]

Wee Keong Ng