Vandana Janeja
Vandana Janeja
Professor of Information Systems, University of Maryland, Baltimore County
Verified email at
Cited by
Cited by
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
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
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
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
Data analytics for cybersecurity
VP Janeja
Cambridge University Press, 2022
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
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
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
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
Multi-domain anomaly detection in spatial datasets
VP Janeja, R Palanisamy
Knowledge and information systems 36, 749-788, 2013
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
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
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
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
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
Human perspective to anomaly detection for cybersecurity
S Chen, VP Janeja
Journal of Intelligent Information Systems 42 (1), 133-153, 2014
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
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
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
Spatiotemporal neighborhood discovery for sensor data
MP McGuire, VP Janeja, A Gangopadhyay
International Workshop on Knowledge Discovery from Sensor Data, 203-225, 2008
The system can't perform the operation now. Try again later.
Articles 1–20