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Josephine M. Namayanja, Vandana P. Janeja: Subspace Discovery for Disease Management: A Case Study in Metabolic Syndrome. IJCMAM 2(1): 38-59 (2011).
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Vandana P. Janeja, Aryya Gangopadhyay, Seyed H. Mohammadi, Revathi Palanisamy: Discovery of anomalous spatio-temporal windows using discretized spatio-temporal scan statistics. Statistical Analysis and Data Mining 4(3): 276-300 (2011).
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Lei Shi, Vandana P. Janeja: Anomalous Window Discovery for Linear Intersecting Paths. IEEE Trans. Knowl. Data Eng. 23(12): 1857-1871 (2011).
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David M. Lewis, Vandana Pursnani Janeja: An Empirical Evaluation of Similarity Coefficients for Binary Valued Data. IJDWM 7(2): 44-66 (2011).
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V. P. Janeja, N. Adam, V. Atluri, J.S. Vaidya. Spatial neighborhood based anomaly detection in sensor datasets Data Mining and Knowledge Discovery, Data Mining and Knowledge Discovery, special issue on Outlier Detection, 20(2), March 2010, pp. 221-258, Springer.
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George Karabatis, Zhiyuan Chen, Vandana Pursnani Janeja, Tania Lobo, Monish Advani, Mikael Lindvall, Raimund L. Feldmann: Using Semantic Networks and Context in Search for Relevant Software Engineering Artifacts. J. Data Semantics 14: 74-104 (2009).
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V.P. Janeja and V. Atluri, Random walks to identify anomalous free-form spatial scan windows. IEEE Transactions on Knowledge and Data Engineering (TKDE), Volume 20(10), 2008.
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V.P. Janeja and V. Atluri, Spatial outlier detection in heterogeneous neighborhoods. Intelligent Data Analysis, Volume 13(1), 2008.
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Sandipan Dey, V. P. Janeja, and A. Gangopadhyay, Temporal Neighborhood Discovery using Markov Models, IEEE International Conference on Data Mining series (ICDM 2009).
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Lei Shi , V.P. Janeja, Anomalous Window Discovery through Scan Statistics for Linear Intersecting Paths (SSLIP), 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’09), (Paris, France, June 28 - July 01, 2009), ACM, New York, NY, 767-775.
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S. Mohammadi, V.P. Janeja and A. Gangopadhyay, Discretized Spatio-Temporal Scan Window, 9th SIAM International conference on Data Mining, SIAM, 2009, 1197-1208.
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M. Lindvall, R.L. Feldmann, G. Karabatis, Z. Chen, V.P. Janeja, Searching for Relevant Software Change Artifacts using Semantic Networks, 24th ACM Symposium on Applied Computing, Software Engineering, Hawaii, USA, March 2009,ACM, New York, NY, 496-500.
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Nabil R. Adam, Vandana P. Janeja, Aabhas V. Paliwal, Basit Shafiq, Cedric Ulmer, Volker Gersabeck, Anne Hardy, Christof Bornhövd, Joachim Schaper: Approach for Discovering and Handling Crisis in a Service-Oriented Environment. Intelligence and Security Informatics, 2007 IEEE , vol., no., pp.16-24, 23-24 May 2007.
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N. Adam, V. Atluri, V. P. Janeja, A. Paliwal, M. Youssef, S. Chun, J. Cooper, J. Paczkowski, C. Bornhoevd, I. Nassi, and J. Schaper, “Semantics-based Threat Structure Mining”, National Conference on Digital Government Research(dg.o), May 2006, 367-368.
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V. P. Janeja and V. Atluri, “FS3: A Random Walk based Free-Form Spatial Scan Statistic for Anomalous Window Detection”, IEEE International Conference on Data Mining (ICDM), November 2005, 661-664.
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V. P. Janeja, V. Atluri, A. Gomaa, N. Adam, C. Bornhoevd, and T. Lin, “DM-AMS: Employing Data Mining Techniques Alert Management”, National Conference on Digital Government Research, (dg.o), May 2005, 103-111.
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V. P. Janeja, V. Atluri, J. S. Vaidya, and N. Adam, “Collusion Set Detection through Outlier Discovery”, IEEE Intelligence and Security Informatics (IEEE ISI), May 2005, 1-13.
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V. P. Janeja and V. Atluri, “LS3: A Linear Semantic Scan Statistic Technique for Detecting Anomalous Windows”, ACM Symposium on Applied Computing (ACM SAC), March 2005, 493-497.
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V. P. Janeja, V. Atluri, and N. R. Adam, “Detecting Anomalous Geospatial Trajectories through Spatial Characterization and Spatio-Semantic Associations”, National Conference on Digital Government Research (dg.o), May 2004, 1-10.
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N. R. Adam, V. P. Janeja, and V. Atluri, “Neighborhood based Detection of Anomalies in High Dimensional Spatio-temporal Sensor Datasets”, ACM Symposium on Applied Computing (ACM SAC), March 2004, 576-583.