| Neighborhood based detection of anomalies in high dimensional spatio-temporal sensor datasets NR Adam, VP Janeja, V Atluri Proceedings of the 2004 ACM symposium on Applied computing, 576-583, 2004 | 109 | 2004 |
| Predicting hospital length of stay (phlos): A multi-tiered data mining approach A Azari, VP Janeja, A Mohseni 2012 IEEE 12th international conference on data mining workshops, 17-24, 2012 | 79 | 2012 |
| Data analytics for cybersecurity VP Janeja Cambridge University Press, 2022 | 63 | 2022 |
| Blockchains for government: use cases and challenges J Clavin, S Duan, H Zhang, VP Janeja, KP Joshi, Y Yesha, LC Erickson, ... Digital Government: Research and Practice 1 (3), 1-21, 2020 | 63 | 2020 |
| Similarity in patient support forums using TF-IDF and cosine similarity metrics M Alodadi, VP Janeja 2015 International Conference on Healthcare Informatics, 521-522, 2015 | 58 | 2015 |
| Comparison of tri-axial accelerometers step-count accuracy in slow walking conditions Y Feng, CK Wong, V Janeja, R Kuber, HM Mentis Gait & posture 53, 11-16, 2017 | 51 | 2017 |
| Anomalous window discovery through scan statistics for linear intersecting paths (SSLIP) L Shi, VP Janeja Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 36 | 2009 |
| Random walks to identify anomalous free-form spatial scan windows VP Janeja, V Atluri IEEE Transactions on Knowledge and Data Engineering 20 (10), 1378-1392, 2008 | 35 | 2008 |
| STenSr: Spatio-temporal tensor streams for anomaly detection and pattern discovery L Shi, A Gangopadhyay, VP Janeja Knowledge and Information Systems 43, 333-353, 2015 | 33 | 2015 |
| Multi-domain anomaly detection in spatial datasets VP Janeja, R Palanisamy Knowledge and information systems 36, 749-788, 2013 | 32 | 2013 |
| Audio deepfakes: A survey Z Khanjani, G Watson, VP Janeja Frontiers in Big Data 5, 1001063, 2023 | 28 | 2023 |
| Insights into organizational security readiness: Lessons learned from cyber-attack case studies F Quader, VP Janeja Journal of Cybersecurity and Privacy 1 (4), 638-659, 2021 | 27 | 2021 |
| B-dids: Mining anomalies in a Big-distributed Intrusion Detection System VP Janeja, A Azari, JM Namayanja, B Heilig 2014 IEEE International Conference on Big Data (Big Data), 32-34, 2014 | 27 | 2014 |
| Spatial neighborhood based anomaly detection in sensor datasets VP Janeja, NR Adam, V Atluri, J Vaidya Data mining and knowledge discovery 20 (2), 221-258, 2010 | 27 | 2010 |
| SQL-like big data environments: Case study in clinical trial analytics A Grover, J Gholap, VP Janeja, Y Yesha, R Chintalapati, H Marwaha, ... 2015 IEEE International Conference on Big Data (Big Data), 2680-2689, 2015 | 25 | 2015 |
| Healthcare data mining: predicting hospital length of stay (PHLOS) A Azari, VP Janeja, A Mohseni International Journal of Knowledge Discovery in Bioinformatics (IJKDB) 3 (3 …, 2012 | 25 | 2012 |
| Human perspective to anomaly detection for cybersecurity S Chen, VP Janeja Journal of Intelligent Information Systems 42 (1), 133-153, 2014 | 24 | 2014 |
| Using semantic networks and context in search for relevant software engineering artifacts G Karabatis, Z Chen, VP Janeja, T Lobo, M Advani, M Lindvall, ... Journal on Data Semantics XIV, 74-104, 2009 | 24 | 2009 |
| Imbalanced learning to predict long stay Emergency Department patients A Azari, VP Janeja, S Levin 2015 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2015 | 23 | 2015 |
| An empirical evaluation of similarity coefficients for binary valued data DM Lewis, VP Janeja International Journal of Data Warehousing and Mining (IJDWM) 7 (2), 44-66, 2011 | 22 | 2011 |
Vijayalakshmi AtluriProfessor of Information Systems, Rutgers UniverstiyVerified email at rutgers.edu
