| Adaptive real‐time anomaly detection in cloud infrastructures B Agrawal, T Wiktorski, C Rong Concurrency and Computation: Practice and Experience 29 (24), e4193, 2017 | 22 | 2017 |
| AFFM: Auto Feature Engineering in Field-Aware Factorization Machines for Predictive Analytics LR Selsaas, B Agrawal, C Rong, T Wiktorski Data Mining Workshop (ICDMW), 1705 - 1709, 2015 | 18 | 2015 |
| Analyzing and predicting failure in hadoop clusters using distributed hidden markov model B Agrawal, T Wiktorski, C Rong International Conference on Cloud Computing and Big Data in Asia, 232-246, 2015 | 17 | 2015 |
| R2Time: a framework to analyse open TSDB time-series data in HBase B Agrawal, A Chakravorty, C Rong, TW Wlodarczyk 2014 IEEE 6th International Conference on Cloud Computing Technology and …, 2014 | 14 | 2014 |
| Enrichment of machine learning based activity classification in smart homes using ensemble learning B Agarwal, A Chakravorty, T Wiktorski, C Rong Proceedings of the 9th International Conference on Utility and Cloud …, 2016 | 12 | 2016 |
| Adaptive anomaly detection in cloud using robust and scalable principal component analysis B Agrawal, T Wiktorski, C Rong 2016 15th international symposium on parallel and distributed computing …, 2016 | 11 | 2016 |
| SD-HDFS: Secure deletion in hadoop distributed file system B Agrawal, R Hansen, C Rong, T Wiktorski 2016 IEEE International Congress on Big Data (BigData Congress), 181-189, 2016 | 8 | 2016 |
| Analysis of large time-series data in OpenTSDB B Agrawal University of Stavanger, Norway, 2013 | 7 | 2013 |
| Improve security over multiple cloud service providers for resource allocation J Surbiryala, B Agrawal, C Rong 2018 1st International Conference on Data Intelligence and Security (ICDIS …, 2018 | 3 | 2018 |
| Resource allocation in cloud-based distributed cameras B Agrawal, J Surbiryala, C Rong 2017 IEEE International Congress on Big Data (BigData Congress), 153-160, 2017 | 2 | 2017 |
| Scalable Data Processing and Analytical Approach for Big Data Cloud Platform B Agrawal | 1 | 2017 |
| Evolving Deep Neural Networks for Continuous Learning B Atamanczuk, KAS Karadas, B Agrawal, A Chakravorty International Conference on Frontiers of Artificial Intelligence, Ethics …, 2023 | | 2023 |
| PROCEEDINGS-9TH IEEE/ACM INTERNATIONAL CONFERENCE ON UTILITY AND CLOUD COMPUTING, UCC 2016 O Sukhoroslov, S Volkov, A Afanasiev, B Agarwal, A Chakravorty, ... | | 2016 |
| ISPDC 2016 L Deng, J Fang, F Wang, H Bai, P He, Y Yuan, X Lin, X Zhao, Y Lin, ... | | |
| BigData Congress Research Track B Data | | |
| BigDataCongress 2016 HP Sajjad, AH Payberah, F Rahimian, V Vlassov, S Haridi | | |
| D: C-8.1 Framework of evidence TWW UiS, RP UiS, B Agrawal, H Molland, HG UiS, T Rübsamen, CR HFU, ... | | |
| BigDataCongress 2017 NC Chen, W Xie, RE Welsch, K Larson, J Xie | | |
| D: D-2.1 Architecture guidelines and principles JL CSA, KM CSA, M Sellami, M Sudholt, J Sendor, DN UMA, BA UiS | | |
| TSCloud 2016 Organizing and Program Committees R Ko, KKR Choo, RN Akram, A Aravind, A Awad, D Catteddu, S Chaisiri, ... | | |
Chunming RongUniversity of StavangerVerified email at uis.no
