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Saket K. Sathe

Outlier Detection with Autoencoder Ensembles
2017 · Jinghui Chen, Saket Sathe, et al. · Society for Industrial and Applied Mathematics eBooks · 484
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Theoretical Foundations and Algorithms for Outlier Ensembles
2015 · Charu C. Aggarwal, Saket Sathe · ACM SIGKDD Explorations Newsletter · 299
Outlier Ensembles
2017 · Charu C. Aggarwal, Saket Sathe · Springer eBooks · 162
OpenSense: open community driven sensing of environment
2010 · Karl Aberer, Saket Sathe, et al. · International Workshop on GeoStreaming · 120
Subspace Outlier Detection in Linear Time with Randomized Hashing
2016 · Saket Sathe, Charu C. Aggarwal · Proceedings · 85
LODES: Local Density Meets Spectral Outlier Detection
2016 · Saket Sathe, Charu Aggarwal · SIAM International Conference on Data Mining · 69
A Survey of Model-based Sensor Data Acquisition and Management
2012 · Saket Sathe, Thanasis G. Papaioannou, et al. · Springer eBooks · 54
An Introduction to Outlier Ensembles
2017 · Charu C. Aggarwal, Saket Sathe · Springer eBooks · 46
Kernelized Matrix Factorization for Collaborative Filtering
2016 · Xinyue Liu, Chara Aggarwal, et al. · SIAM International Conference on Data Mining · 46
Twitter analytics: a big data management perspective
2014 · Oshini Goonetilleke, Timos Sellis, et al. · ACM SIGKDD Explorations Newsletter · 43
Effective Metadata Management in Federated Sensor Networks
2010 · Hoyoung Jeung, Sofiane Sarni, et al. · IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC) · 40
Subspace histograms for outlier detection in linear time
2018 · Saket Sathe, Charu C. Aggarwal · Knowledge and Information Systems · 33
Managing Evolving Uncertainty in Trajectory Databases
2013 · Hoyoung Jeung, Hua Lu, et al. · IEEE Transactions on Knowledge and Data Engineering · 33
Improving Spectral Clustering with Deep Embedding and Cluster Estimation
2019 · Liang Duan, Charu Aggarwal, et al. · Proceedings · 27
Similarity Forests
2017 · Saket Sathe, Charu C. Aggarwal · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 26
Improving spectral clustering with deep embedding, cluster estimation and metric learning
2020 · Liang Duan, Shuai Ma, et al. · Knowledge and Information Systems · 21
Fast Distributed Correlation Discovery Over Streaming Time-Series Data
2015 · Tian Guo, Saket Sathe, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 21
Creating probabilistic databases from imprecise time-series data
2011 · Saket Sathe, Hoyoung Jeung, et al. · IEEE International Conference on Data Engineering (ICDE) · 14
A Novel Bayesian Classifier using Copula Functions
2006 · Sathe, Saket · arXiv (Cornell University) · 13
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AFFINITY: Efficiently querying statistical measures on time-series data
2013 · S. Sathe, K. Aberer · IEEE International Conference on Data Engineering (ICDE) · 12
Nearest Neighbor Classifiers Versus Random Forests and Support Vector Machines
2019 · Saket Sathe, Charu C. Aggarwal · Proceedings · 10
Shedding Light on the Performance of Solar Panels: A Data-Driven View
2016 · Sue A. Chen, Arun Vishwanath, et al. · ACM SIGKDD Explorations Newsletter · 10
Gene Expression and Protein Function: A Survey of Deep Learning Methods
2019 · Saket Sathe, Sayani Aggarwal, et al. · ACM SIGKDD Explorations Newsletter · 9
Towards Enabling Probabilistic Databases for Participatory Sensing
2014 · Quoc Viet Hung Nguyen, Saket Sathe, et al. · International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom) · 9
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Which Outlier Detection Algorithm Should I Use?
2017 · Charu C. Aggarwal, Saket Sathe · Springer eBooks · 8
Works count: 63
Citation count: 1,749
H-index: 17
I10-index: 22
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