Bryan Hooi

According to our database1, Bryan Hooi authored at least 31 papers between 2015 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Fast, Accurate, and Flexible Algorithms for Dense Subtensor Mining.
TKDD, 2018

Out-of-Core and Distributed Algorithms for Dense Subtensor Mining.
CoRR, 2018

REV2: Fraudulent User Prediction in Rating Platforms.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

StreamCast: Fast and Online Mining of Power Grid Time Sequences.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

NeuCast: Seasonal Neural Forecast of Power Grid Time Series.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Graph-Based Fraud Detection in the Face of Camouflage.
TKDD, 2017

EagleMine: Vision-Guided Mining in Large Graphs.
CoRR, 2017

The Message or the Messenger? Inferring Virality and Diffusion Structure from Online Petition Signature Data.
CoRR, 2017

DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams.
CoRR, 2017

HoloScope: Topology-and-Spike Aware Fraud Detection.
CoRR, 2017

FairJudge: Trustworthy User Prediction in Rating Platforms.
CoRR, 2017

AutoCyclone: Automatic Mining of Cyclic Online Activities with Robust Tensor Factorization.
Proceedings of the 26th International Conference on World Wide Web, 2017

D-Cube: Dense-Block Detection in Terabyte-Scale Tensors.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

The Message or the Messenger? Inferring Virality and Diffusion Structure from Online Petition Signature Data.
Proceedings of the Social Informatics, 2017

PowerCast: Mining and Forecasting Power Grid Sequences.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

zooRank: Ranking Suspicious Entities in Time-Evolving Tensors.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

BeatLex: Summarizing and Forecasting Time Series with Patterns.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Linear load model for robust power system analysis.
Proceedings of the 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2017

EyeQual: Accurate, Explainable, Retinal Image Quality Assessment.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

HoloScope: Topology-and-Spike Aware Fraud Detection.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algorithms.
IEEE Trans. Knowl. Data Eng., 2016

BIRDNEST: Bayesian Inference for Ratings-Fraud Detection.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

M-Zoom: Fast Dense-Block Detection in Tensors with Quality Guarantees.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Matrices, Compression, Learning Curves: Formulation, and the GroupNteach Algorithms.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

FRAUDAR: Bounding Graph Fraud in the Face of Camouflage.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

EdgeCentric: Anomaly Detection in Edge-Attributed Networks.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015
EdgeCentric: Anomaly Detection in Edge-Attributed Networks.
CoRR, 2015

BIRDNEST: Bayesian Inference for Ratings-Fraud Detection.
CoRR, 2015

A General Suspiciousness Metric for Dense Blocks in Multimodal Data.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Education, Learning and Information Theory.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015


  Loading...