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Vandana Janeja
Vandana Janeja
Professor of Information Systems, University of Maryland, Baltimore County
Verified email at umbc.edu
Title
Cited by
Cited by
Year
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
1092004
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
772012
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
602015
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
582020
Data analytics for cybersecurity
VP Janeja
Cambridge University Press, 2022
572022
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
502017
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
352009
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
352008
Multi-domain anomaly detection in spatial datasets
VP Janeja, R Palanisamy
Knowledge and information systems 36, 749-788, 2013
322013
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
312015
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
272014
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
272010
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
242015
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
242012
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
242009
Human perspective to anomaly detection for cybersecurity
S Chen, VP Janeja
Journal of Intelligent Information Systems 42 (1), 133-153, 2014
232014
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
232011
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
222015
Spatiotemporal neighborhood discovery for sensor data
MP McGuire, VP Janeja, A Gangopadhyay
International Workshop on Knowledge Discovery from Sensor Data, 203-225, 2008
222008
LS3 a Linear Semantic Scan Statistic technique for detecting anomalous windows
VP Janeja, V Atluri
Proceedings of the 2005 ACM symposium on Applied computing, 493-497, 2005
222005
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