Παρακολούθηση
Saket Sathe
Saket Sathe
Senior Applied Scientist, Amazon
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα amazon.com - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Outlier detection with autoencoder ensembles
J Chen, S Sathe, C Aggarwal, D Turaga
Proceedings of the 2017 SIAM international conference on data mining, 90-98, 2017
6272017
Theoretical Foundations and Algorithms for Outlier Ensembles
CC Aggarwal, S Sathe
ACM SIGKDD Explorations Newsletter 17 (1), 24-47, 2015
3442015
Opensense: open community driven sensing of environment
K Aberer, S Sathe, D Chakraborty, A Martinoli, G Barrenetxea, B Faltings, ...
Proceedings of the ACM SIGSPATIAL international workshop on GeoStreaming, 39-42, 2010
1702010
Subspace outlier detection in linear time with randomized hashing
S Sathe, CC Aggarwal
2016 IEEE 16th International Conference on Data Mining (ICDM), 459-468, 2016
1022016
LODES: Local density meets spectral outlier detection
S Sathe, C Aggarwal
Proceedings of the 2016 SIAM international conference on data mining, 171-179, 2016
772016
A survey of model-based sensor data acquisition and management
S Sathe, TG Papaioannou, H Jeung, K Aberer
Managing and mining sensor data, 9-50, 2013
762013
Twitter analytics: a big data management perspective
O Goonetilleke, T Sellis, X Zhang, S Sathe
ACM SIGKDD Explorations Newsletter 16 (1), 11-20, 2014
712014
Kernelized matrix factorization for collaborative filtering
X Liu, C Aggarwal, YF Li, X Kong, X Sun, S Sathe
Proceedings of the 2016 SIAM international conference on data mining, 378-386, 2016
632016
Effective metadata management in federated sensor networks
H Jeung, S Sarni, I Paparrizos, S Sathe, K Aberer, N Dawes, ...
2010 IEEE International Conference on Sensor Networks, Ubiquitous, and …, 2010
582010
Subspace histograms for outlier detection in linear time
S Sathe, CC Aggarwal
Knowledge and Information Systems 56, 691-715, 2018
422018
Managing evolving uncertainty in trajectory databases
H Jeung, H Lu, S Sathe, ML Yiu
IEEE Transactions on Knowledge and Data Engineering 26 (7), 1692-1705, 2013
382013
Similarity forests
S Sathe, CC Aggarwal
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
342017
Improving spectral clustering with deep embedding and cluster estimation
L Duan, C Aggarwal, S Ma, S Sathe
2019 IEEE International Conference on Data Mining (ICDM), 170-179, 2019
322019
Fast distributed correlation discovery over streaming time-series data
T Guo, S Sathe, K Aberer
Proceedings of the 24th ACM International on Conference on Information and …, 2015
272015
Creating probabilistic databases from imprecise time-series data
S Sathe, H Jeung, K Aberer
2011 IEEE 27th International Conference on Data Engineering, 327-338, 2011
242011
Improving spectral clustering with deep embedding, cluster estimation and metric learning
L Duan, S Ma, C Aggarwal, S Sathe
Knowledge and Information Systems 63, 675-694, 2021
202021
Towards enabling probabilistic databases for participatory sensing
NQV Hung, S Sathe, DC Thang, K Aberer
10th IEEE International Conference on Collaborative Computing: Networking …, 2014
192014
Rumor spreading in LiveJournal
S Sathe
182008
AFFINITY: Efficiently querying statistical measures on time-series data
S Sathe, K Aberer
2013 IEEE 29th International Conference on Data Engineering (ICDE), 841-852, 2013
172013
Accurate temporal event predictive modeling
CC Aggarwal, CAO Lingtao, THM Ng, S Sathe, DS Turaga
US Patent 10,956,821, 2021
142021
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