オープン アクセスを義務付けられた論文 - Charu Aggarwal詳細
一般には非公開: 12 件
Automated feature selection: A reinforcement learning perspective
K Liu, Y Fu, L Wu, X Li, C Aggarwal, H Xiong
IEEE Transactions on Knowledge and Data Engineering 35 (3), 2272-2284, 2021
委任: National Natural Science Foundation of China
Recurring and novel class detection using class-based ensemble for evolving data stream
T Al-Khateeb, MM Masud, KM Al-Naami, SE Seker, AM Mustafa, L Khan, ...
IEEE Transactions on Knowledge and Data Engineering 28 (10), 2752-2764, 2015
委任: US National Aeronautics and Space Administration
On dense subgraphs in signed network streams
J Cadena, AK Vullikanti, CC Aggarwal
2016 IEEE 16th International Conference on Data Mining (ICDM), 51-60, 2016
委任: US National Science Foundation
Temporally evolving community detection and prediction in content-centric networks
AP Appel, RLF Cunha, CC Aggarwal, MM Terakado
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019
委任: US Department of Defense
Graph pooling with representativeness
J Li, Y Ma, Y Wang, C Aggarwal, CD Wang, J Tang
2020 IEEE International Conference on Data Mining (ICDM), 302-311, 2020
委任: US National Science Foundation, National Natural Science Foundation of China
Uncovering and predicting human behaviors
P Cui, H Liu, C Aggarwal, F Wang
IEEE Intelligent Systems 31 (2), 77-88, 2016
委任: US National Science Foundation, National Natural Science Foundation of China
Efficient sampling-based kernel mean matching
S Chandra, A Haque, L Khan, C Aggarwal
2016 IEEE 16th International Conference on Data Mining (ICDM), 811-816, 2016
委任: US National Science Foundation
Ensemble direct density ratio estimation for multistream classification
S Chandra, A Haque, H Tao, J Liu, L Khan, C Aggarwal
2018 IEEE 34th International Conference on Data Engineering (ICDE), 1364-1367, 2018
委任: US National Science Foundation
Sampling-based distributed kernel mean matching using spark
A Haque, Z Wang, S Chandra, Y Gao, L Khan, C Aggarwal
2016 IEEE International Conference on Big Data (Big Data), 462-471, 2016
委任: US National Science Foundation
Exploiting Knowledge Across Distinct Domains: Learning Event Details from Network Logs
M Wu, C Aggarwal, Z Yu, A Swami, P Mohapatra
MILCOM 2018-2018 IEEE Military Communications Conference (MILCOM), 1-9, 2018
委任: US Department of Defense
Feature Engineering for Data Streams
Y Ma, J Tang, C Aggarwal
Feature Engineering for Machine Learning and Data Analytics, 117-143, 2018
委任: US National Science Foundation
Z-Laplacian Matrix Factorization: Network Embedding With Interpretable Graph Signals
L Wan, Z Fu, Y Ling, Y Sun, X Li, L Sun, F Xia, X Yan, C Aggarwal
IEEE Transactions on Knowledge and Data Engineering, 2023
委任: National Natural Science Foundation of China
一般公開: 65 件
Netwalk: A flexible deep embedding approach for anomaly detection in dynamic networks
W Yu, W Cheng, CC Aggarwal, K Zhang, H Chen, W Wang
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
委任: US National Science Foundation, US Department of Defense, US National …
Graph convolutional networks with eigenpooling
Y Ma, S Wang, CC Aggarwal, J Tang
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
委任: US National Science Foundation
Signed network embedding in social media
S Wang, J Tang, C Aggarwal, Y Chang, H Liu
Proceedings of the 2017 SIAM international conference on data mining, 327-335, 2017
委任: US National Science Foundation, US Department of Defense
Learning deep network representations with adversarially regularized autoencoders
W Yu, C Zheng, W Cheng, CC Aggarwal, D Song, B Zong, H Chen, ...
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
委任: US National Science Foundation, US Department of Defense, US National …
STREAMCUBE: Hierarchical spatio-temporal hashtag clustering for event exploration over the Twitter stream
W Feng, C Zhang, W Zhang, J Han, J Wang, C Aggarwal, J Huang
2015 IEEE 31st international conference on data engineering, 1561-1572, 2015
委任: National Natural Science Foundation of China
Adversarial attacks and defenses on graphs
W Jin, Y Li, H Xu, Y Wang, S Ji, C Aggarwal, J Tang
ACM SIGKDD Explorations Newsletter 22 (2), 19-34, 2021
委任: US National Science Foundation
Efficient handling of concept drift and concept evolution over stream data
A Haque, L Khan, M Baron, B Thuraisingham, C Aggarwal
2016 IEEE 32nd International Conference on Data Engineering (ICDE), 481-492, 2016
委任: US National Science Foundation
Investigating and mitigating degree-related biases in graph convoltuional networks
X Tang, H Yao, Y Sun, Y Wang, J Tang, C Aggarwal, P Mitra, S Wang
Proceedings of the 29th ACM International Conference on Information …, 2020
委任: US National Science Foundation
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