Æȷοì
Jing Gao
Jing Gao
Associate Professor, Elmore Family School of Electrical and Computer Engineering, Purdue University
purdue.eduÀÇ À̸ÞÀÏ È®ÀÎµÊ - ȨÆäÀÌÁö
Á¦¸ñ
Àοë
Àοë
¿¬µµ
Outlier Detection for Temporal Data
M Gupta, J Gao, C Aggarwal, J Han
The 13th SIAM International Conference on Data Mining (SDM 2013), 2013
1390*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
13852014
Outlier Detection for Temporal Data
M Gupta, J Gao, C Aggarwal, J Han
The 22nd ACM International Conference on Information and Knowledge ¡¦, 2013
1385*2013
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
9602013
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
9092018
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
5252014
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
5082016
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
5082016
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
4972010
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
4672017
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
4552008
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
3982014
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
3752010
A survey on causal inference
L Yao, Z Chu, S Li, Y Li, J Gao, A Zhang
ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (5), 1-46, 2021
3742021
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
3642018
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
3342007
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
3122010
Representation learning for treatment effect estimation from observational data
L Yao, S Li, Y Li, M Huai, J Gao, A Zhang
Advances in neural information processing systems 31, 2018
2892018
Multistep-ahead time series prediction
H Cheng, PN Tan, J Gao, J Scripps
Advances in Knowledge Discovery and Data Mining: 10th Pacific-Asia ¡¦, 2006
2692006
Data preprocessing
H Yang
Pennsylvania State Univ. Citeseer, 2018
2622018
ÇöÀç ½Ã½ºÅÛÀÌ ÀÛµ¿µÇÁö ¾Ê½À´Ï´Ù. ³ªÁß¿¡ ´Ù½Ã ½ÃµµÇØ ÁÖ¼¼¿ä.
ÇмúÀÚ·á 1–20