Vandana Janeja
Vandana Janeja
Professor of Information Systems, University of Maryland, Baltimore County
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Zitiert von
Zitiert von
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
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
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
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
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
STenSr: Spatio-temporal tensor streams for anomaly detection and pattern discovery
L Shi, A Gangopadhyay, VP Janeja
Knowledge and Information Systems 43 (2), 333-353, 2015
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
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
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
Multi-domain anomaly detection in spatial datasets
VP Janeja, R Palanisamy
Knowledge and information systems 36 (3), 749-788, 2013
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
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
Approach for discovering and handling crisis in a Service-Oriented Environment
N Adam, VP Janeja, AV Paliwal, B Shafiq, C Ulmer, V Gersabeck, A Hardy, ...
2007 IEEE Intelligence and Security Informatics, 16-24, 2007
DM-AMS: employing data mining techniques for alert management
VP Janeja, V Atluri, A Gomaa, N Adam, C Bornhoevd, T Lin
UMBC Information Systems Department Collection, 2005
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
Spatiotemporal neighborhood discovery for sensor data
MP McGuire, VP Janeja, A Gangopadhyay
International Workshop on Knowledge Discovery from Sensor Data, 203-225, 2008
Cybersecurity workforce development: A peer mentoring approach
VP Janeja, C Seaman, K Kephart, A Gangopadhyay, A Everhart
2016 IEEE conference on intelligence and security informatics (ISI), 267-272, 2016
Spatial outlier detection in heterogeneous neighborhoods
VP Janeja, V Atluri
Intelligent Data Analysis 13 (1), 85-107, 2009
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