Jing Gao
Jing Gao
Associate Professor, School of Electrical and Computer Engineering, Purdue University
Bestätigte E-Mail-Adresse bei purdue.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Outlier Detection for Temporal Data
M Gupta, J Gao, C Aggarwal, J Han
The 13th SIAM International Conference on Data Mining (SDM 2013), 2013
904*2013
Outlier Detection for Temporal Data
M Gupta, J Gao, C Aggarwal, J Han
The 22nd ACM International Conference on Information and Knowledge …, 2013
901*2013
Outlier Detection for Temporal Data: A Survey
M Gupta, J Gao, C Aggarwal, J Han
IEEE Transactions on Knowledge and Data Engineering (TKDE) 26 (9), 2250-2267, 2014
7412014
Multi-view clustering via joint nonnegative matrix factorization
J Liu, C Wang, J Gao, J Han
Proceedings of the 2013 SIAM International Conference on Data Mining, 252-260, 2013
5812013
Classification and novel class detection in concept-drifting data streams under time constraints
M Masud, J Gao, L Khan, J Han, BM Thuraisingham
IEEE Transactions on Knowledge and Data Engineering 23 (6), 859-874, 2010
3902010
Knowledge transfer via multiple model local structure mapping
J Gao, W Fan, J Jiang, J Han
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
3632008
Resolving Conflicts in Heterogeneous Data by Truth Discovery and Source Reliability Estimation
Q Li, Y Li, J Gao, B Zhao, W Fan, J Han
Proceedings of the ACM SIGMOD International Conference on Management of Data …, 2014
3552014
A survey on truth discovery
Y Li, J Gao, C Meng, Q Li, L Su, B Zhao, W Fan, J Han
ACM Sigkdd Explorations Newsletter 17 (2), 1-16, 2016
3242016
A survey on truth discovery
Y Li, J Gao, C Meng, Q Li, L Su, B Zhao, W Fan, J Han
ACM Sigkdd Explorations Newsletter 17 (2), 1-16, 2016
3242016
A general framework for mining concept-drifting data streams with skewed distributions
J Gao, W Fan, J Han, PS Yu
Proc 7th int conf on data mining, SIAM, Philadelphia, PA, 2007
2802007
On community outliers and their efficient detection in information networks
J Gao, F Liang, W Fan, C Wang, Y Sun, J Han
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
2772010
A confidence-aware approach for truth discovery on long-tail data
Q Li, Y Li, J Gao, L Su, B Zhao, M Demirbas, W Fan, J Han
Proceedings of the VLDB Endowment 8 (4), 425-436, 2014
2632014
Graph regularized transductive classification on heterogeneous information networks
M Ji, Y Sun, M Danilevsky, J Han, J Gao
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010
2342010
Eann: Event adversarial neural networks for multi-modal fake news detection
Y Wang, F Ma, Z Jin, Y Yuan, G Xun, K Jha, L Su, J Gao
Proceedings of the 24th acm sigkdd international conference on knowledge …, 2018
2172018
On appropriate assumptions to mine data streams: Analysis and practice
J Gao, W Fan, J Han
Seventh IEEE International Conference on Data Mining (ICDM 2007), 143-152, 2007
2012007
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks
F Ma, R Chitta, J Zhou, Q You, T Sun, J Gao
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
1882017
Outlier detection for temporal data
M Gupta, J Gao, C Aggarwal, J Han
Synthesis Lectures on Data Mining and Knowledge Discovery 5 (1), 1-129, 2014
1812014
Multistep-ahead time series prediction
H Cheng, PN Tan, J Gao, J Scripps
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 765-774, 2006
1802006
A practical approach to classify evolving data streams: Training with limited amount of labeled data
MM Masud, J Gao, L Khan, J Han, B Thuraisingham
2008 Eighth IEEE International Conference on Data Mining, 929-934, 2008
1752008
A deep learning approach for detecting traffic accidents from social media data
Z Zhang, Q He, J Gao, M Ni
Transportation research part C: emerging technologies 86, 580-596, 2018
1682018
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