Browse "RIMS Conference Papers" by Author Faloutsos, Christos

Showing results 1 to 7 of 7

1
DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams

Shin, Kijung; Hooi, Bryan; Kim, Jisu; Faloutsos, Christos, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), 2017-08-16

2
Fast and accurate anomaly detection in dynamic graphs with a two-pronged approach

Yoon, Minji; Hooi, Bryan; Shin, Kijung; Faloutsos, Christos, 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2019, pp.647 - 657, Association for Computing Machinery, 2019-08-06

3
MIDAS: MIcrocluster-based Detector of Anomalies in Edge Streams

Bhatia, Siddharth; Hooi, Bryan; Yoon, Minji; Shin, Kijung; Faloutsos, Christos, The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), pp.3243 - 3250, Association for the Advancement of Artificial Intelligence, 2020-02-10

4
ONE-M: Modeling the Co-evolution of Opinions and Network Connections

Nigam, Aastha; Shin, Kijung; Bahulkar, Ashwin; Hooi, Bryan; Hachen, David; Szymanski, Boleslaw K.; Faloutsos, Christos; et al, European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), pp.122 - 140, Springer, 2018-09-13

5
TellTail: Fast Scoring and Detection of Dense Subgraphs

Hooi, Bryan; Shin, Kijung; Lamba, Hemank; Faloutsos, Christos, The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), pp.4150 - 4157, Association for the Advancement of Artificial Intelligence, 2020-02-10

6
Think Before You Discard: Accurate Triangle Counting in Graph Streams with Deletions

Shin, Kijung; Kim, Jisu; Hooi, Bryan; Faloutsos, Christos, European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), pp.141 - 157, Springer, 2018-09-13

7
Tri-Fly: Distributed Estimation of Global and Local Triangle Counts in Graph Streams

Shin, Kijung; Hammoud, Mohammad; Lee, Euiwoong; Oh, Jinoh; Faloutsos, Christos, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp.651 - 663, Springer, 2018-06-05

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