| 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 | 157 | 2016 |
| 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 | 75 | 2016 |
| 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 | 65 | 2015 |
| 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 | 62 | 2016 |
| Distributed methods for high-dimensional and large-scale tensor factorization K Shin, U Kang 2014 IEEE International Conference on Data Mining, 989-994, 2014 | 54 | 2014 |
| 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 | 50 | 2017 |
| 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 | 42 | 2017 |
| 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 | 38 | 2018 |
| 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 | 37 | 2017 |
| 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 | 37 | 2017 |
| 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 | 32 | 2016 |
| 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 | 26 | 2017 |
| 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 | 16 | 2017 |
| 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 | 13 | 2018 |
| 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 | 12 | 2019 |
| 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 | 12 | 2018 |
| Midas: Microcluster-Based Detector of Anomalies in Edge Streams. S Bhatia, B Hooi, M Yoon, K Shin, C Faloutsos AAAI, 3242-3249, 2020 | 11 | 2020 |
| 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 | 10 | 2019 |
| Incorporating Side Information in Tensor Completion H Lamba, V Nagarajan, K Shin, N Shajarisales Proceedings of the 25th International Conference Companion on World Wide Web …, 2016 | 10 | 2016 |
| 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 | 10 | 2014 |
Christos FaloutsosCMUEmail verificata su cs.cmu.edu
