Vandana Janeja

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Vijayalakshmi AtluriDistinguished Professor of Information Systems, Rutgers UniverstiyVerified email at rutgers.edu
Nabil AdamRutgers UniversityVerified email at adam.rutgers.edu
Aryya GangopadhyayProfessor, Information Systems, Affiliate Professor CSEE, UMBCVerified email at umbc.edu
Yelena YeshaUniversity of Maryland, Baltimore CountyVerified email at umbc.edu
Zahra (Sara) KhanjaniUMBCVerified email at umbc.edu
Michael McGuireProfessor, Chair, Department of Computer and Information Sciences, Towson UniversityVerified email at towson.edu
Mohammad S AlodadiLeidos Biomedical Research, Inc./Frederick National Laboratory for Cancer Research (NCI/NIH)Verified email at nih.gov
Chhaya KulkarniUniversity of Maryland, Baltimore CountyVerified email at umbc.edu
Lucy C EricksonGoogleVerified email at google.com
Christine MallinsonProfessor, University of Maryland-Baltimore CountyVerified email at umbc.edu
Jaideep VaidyaDistinguished Professor, Rutgers UniversityVerified email at business.rutgers.edu
Zhiyuan ChenProfessor of Information Systems, University of Maryland Baltimore CountyVerified email at umbc.edu
Sandipan DeyData ScientistVerified email at umbc.edu
Sudip ChakrabortyJet Propulsion Laboratory, NASAVerified email at jpl.nasa.gov
Mathieu MorlighemProfessor, DartmouthVerified email at dartmouth.edu
Nicholas HolschuhAssistant Professor of Geology - Amherst CollegeVerified email at amherst.edu
Maloy Kumar DevnathPh.D. Researcher in iHARP, University of Maryland, Baltimore CountyVerified email at umbc.edu
Rohan PUTATUNDADoctoral Student at UMBCVerified email at umbc.edu

Vandana Janeja

Professor of Information Systems, University of Maryland, Baltimore County

Verified email at umbc.edu

data mining anomalous windows spatio-temporal data mining


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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
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	74	2020
Data analytics for cybersecurity VP Janeja Cambridge University Press, 2022	68	2022
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	63	2015
Audio deepfakes: A survey Z Khanjani, G Watson, VP Janeja Frontiers in Big Data 5, 1001063, 2023	52	2023
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	52	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	34	2015
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	33	2021
Multi-domain anomaly detection in spatial datasets VP Janeja, R Palanisamy Knowledge and information systems 36, 749-788, 2013	32	2013
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	28	2010
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
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	26	2012
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
How deep are the fakes? focusing on audio deepfake: A survey Z Khanjani, G Watson, VP Janeja arXiv preprint arXiv:2111.14203, 2021	24	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	24	2015
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

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