| 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 | 457 | 2017 |
| Theoretical Foundations and Algorithms for Outlier Ensembles CC Aggarwal, S Sathe ACM SIGKDD Explorations Newsletter 17 (1), 24-47, 2015 | 259 | 2015 |
| 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 | 160 | 2010 |
| Outlier ensembles: An introduction CC Aggarwal, S Sathe Springer International Publishing 10, 3103589, 2017 | 156 | 2017 |
| 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 | 75 | 2016 |
| 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 | 63 | 2013 |
| Twitter analytics: a big data management perspective O Goonetilleke, T Sellis, X Zhang, S Sathe ACM SIGKDD Explorations Newsletter 16 (1), 11-20, 2014 | 62 | 2014 |
| 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 | 61 | 2016 |
| LODES: Local density meets spectral outlier detection S Sathe, C Aggarwal Proceedings of the 2016 SIAM international conference on data mining, 171-179, 2016 | 59 | 2016 |
| 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 | 53 | 2010 |
| 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 | 35 | 2013 |
| Similarity forests S Sathe, CC Aggarwal Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 28 | 2017 |
| Subspace histograms for outlier detection in linear time S Sathe, CC Aggarwal Knowledge and Information Systems 56, 691-715, 2018 | 27 | 2018 |
| 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 | 25 | 2015 |
| 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 | 25 | 2011 |
| Towards enabling probabilistic databases for participatory sensing NQV Hung, S Sathe, DC Thang, K Aberer 10th IEEE International Conference on Collaborative Computing: Networking …, 2014 | 18 | 2014 |
| 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 | 17 | 2013 |
| 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 | 15 | 2019 |
| Method of data retrieval, and search engine using such a method S Sathe, G Skobeltsyn US Patent App. 12/507,381, 2011 | 12 | 2011 |
| A novel Bayesian classifier using copula functions S Sathe arXiv preprint cs/0611150, 2006 | 12 | 2006 |
Charu AggarwalDistinguished Research Staff Member, IBM T. J. Watson Research CenterVahvistettu sähköpostiosoite verkkotunnuksessa us.ibm.com
