XuanHong Dang
According to our database^{1},
XuanHong Dang
authored at least 31 papers
between 2006 and 2018.
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at cs.au.dk
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Bibliography
2018
seq2graph: Discovering Dynamic Dependencies from Multivariate Time Series with Multilevel Attention.
CoRR, 2018
Root Cause Detection using Dynamic Dependency Graphs from Time Series Data.
Proceedings of the IEEE International Conference on Big Data, 2018
Learning Multiclassifiers with Predictive Features that Vary with Data Distribution.
Proceedings of the IEEE International Conference on Big Data, 2018
Unsupervised Threshold Autoencoder to Analyze and Understand Sentence Elements.
Proceedings of the IEEE International Conference on Big Data, 2018
2017
GPOP: Scalable Grouplevel Popularity Prediction for Online Content in Social Networks.
Proceedings of the 26th International Conference on World Wide Web, 2017
Subnetwork Mining with Spatial and Temporal Smoothness.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
2016
Graph Wavelets via Sparse Cuts.
CoRR, 2016
Outlier Detection from Network Data with Subnetwork Interpretation.
CoRR, 2016
Graph Wavelets via Sparse Cuts.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Outlier Detection from Network Data with Subnetwork Interpretation.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
2015
A framework to uncover multiple alternative clusterings.
Machine Learning, 2015
Discriminative Subnetworks with Regularized Spectral Learning for Globalstate Network Data.
CoRR, 2015
Learning Predictive Substructures with Regularization for Network Data.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
2014
Generating multiple alternative clusterings via globally optimal subspaces.
Data Min. Knowl. Discov., 2014
Discriminative Subnetworks with Regularized Spectral Learning for GlobalState Network Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Discriminative features for identifying and interpreting outliers.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014
2013
Outlier Detection with Space Transformation and Spectral Analysis.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
Local Outlier Detection with Interpretation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Explaining Outliers by Subspace Separability.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
2012
An Adaptive Algorithm for Finding Frequent Sets in Landmark Windows.
Proceedings of the Scalable Uncertainty Management  6th International Conference, 2012
Multiple Clustering Views via Constrained Projections.
Proceedings of the 3rd MultiClust Workshop: Discovering, 2012
2010
Generation of Alternative Clusterings Using the CAMI Approach.
Proceedings of the SIAM International Conference on Data Mining, 2010
A hierarchical information theoretic technique for the discovery of non linear alternative clusterings.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
2009
Frequent Sets Mining in Data Stream Environments.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
Densitybased clustering of data streams at multiple resolutions.
TKDD, 2009
Incremental and Adaptive Clustering Stream Data over Sliding Window.
Proceedings of the Database and Expert Systems Applications, 20th International Conference, 2009
An EMBased Algorithm for Clustering Data Streams in Sliding Windows.
Proceedings of the Database Systems for Advanced Applications, 2009
2008
Online mining of frequent sets in data streams with error guarantee.
Knowl. Inf. Syst., 2008
2007
Discovering Frequent Sets from Data Streams with CPU Constraint.
Proceedings of the Data Mining and Analytics 2007, 2007
2006
Adaptive Load Shedding for Mining Frequent Patterns from Data Streams.
Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006
EStream: Online Mining of Frequent Sets with Precise Error Guarantee.
Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006