Kijung Shin
Kijung Shin
Assistant Professor, KAIST
Bestätigte E-Mail-Adresse bei kaist.ac.kr - Startseite
Titel
Zitiert von
Zitiert von
Jahr
FRAUDAR: Bounding Graph Fraud in the Face of Camouflage
B Hooi, HA Song, A Beutel, N Shah, K Shin, C Faloutsos
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
2012016
CoreScope: Graph Mining Using k-Core Analysis—Patterns, Anomalies and Algorithms
K Shin, T Eliassi-Rad, C Faloutsos
2016 IEEE 16th International Conference on Data Mining (ICDM), 469-478, 2016
872016
M-zoom: Fast dense-block detection in tensors with quality guarantees
K Shin, B Hooi, C Faloutsos
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016
762016
BEAR: Block Elimination Approach for Random Walk with Restart on Large Graphs
K Shin, J Jung, S Lee, U Kang
Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015
692015
Distributed methods for high-dimensional and large-scale tensor factorization
K Shin, U Kang
2014 IEEE International Conference on Data Mining, 989-994, 2014
642014
Fully Scalable Methods for Distributed Tensor Factorization
K Shin, L Sael, U Kang
IEEE Transactions on Knowledge and Data Engineering 29 (1), 100-113, 2017
632017
D-Cube: Dense-Block Detection in Terabyte-Scale Tensors
K Shin, B Hooi, J Kim, C Faloutsos
Proceedings of the Tenth ACM International Conference on Web Search and Data …, 2017
522017
Patterns and anomalies in k-cores of real-world graphs with applications
K Shin, T Eliassi-Rad, C Faloutsos
Knowledge and Information Systems 54 (3), 677-710, 2018
492018
Graph-based fraud detection in the face of camouflage
B Hooi, K Shin, HA Song, A Beutel, N Shah, C Faloutsos
ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (4), 1-26, 2017
452017
S-HOT: Scalable High-Order Tucker Decomposition
J Oh, K Shin, EE Papalexakis, C Faloutsos, H Yu
Proceedings of the Tenth ACM International Conference on Web Search and Data …, 2017
412017
DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams
K Shin, B Hooi, J Kim, C Faloutsos
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
382017
Random walk with restart on large graphs using block elimination
J Jung, K Shin, L Sael, U Kang
ACM Transactions on Database Systems (TODS) 41 (2), 1-43, 2016
342016
Midas: microcluster-based detector of anomalies in edge streams
S Bhatia, B Hooi, M Yoon, K Shin, C Faloutsos
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3242-3249, 2020
332020
Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach
M Yoon, B Hooi, K Shin, C Faloutsos
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
242019
SWeG: Lossless and Lossy Summarization of Web-Scale Graphs
K Shin, A Ghoting, M Kim, H Raghavan
The World Wide Web Conference, 1679-1690, 2019
192019
How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction
S Yoon, H Song, K Shin, Y Yi
Proceedings of The Web Conference 2020, 2627-2633, 2020
182020
Fast, Accurate, and Flexible Algorithms for Dense Subtensor Mining
K Shin, B Hooi, C Faloutsos
ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (3), 28, 2018
182018
WRS: Waiting Room Sampling for Accurate Triangle Counting in Real Graph Streams
K Shin
Data Mining (ICDM), 2017 IEEE 17th International Conference on, 1087-1092, 2017
182017
Tri-Fly: Distributed Estimation of Global and Local Triangle Counts in Graph Streams
K Shin, M Hammoud, E Lee, J Oh, C Faloutsos
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 651-663, 2018
152018
Data/Feature Distributed Stochastic Coordinate Descent for Logistic Regression
D Kang, W Lim, K Shin, L Sael, U Kang
Proceedings of the 23rd ACM International Conference on Conference on …, 2014
112014
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