Professional Activities









Research Snapshot




My area of interest is Data mining. My research has always resulted in strong proof of concepts in real world applications. Most of this work has been possible due to the diligent work of my students. Some of my current students and their ongoing research projects are highlighted in the following. Please look at the publications list for more details.


Prototype Links:

Each of the publications is associated with a proof of concept prototype . Some links are listed here along with the relevant papers. For other papers please contact Vandana Janeja

Spatial Data Mining: http://userpages.umbc.edu/~leishi1/sslip/sslip.htm, this prototype has the following components

         Spatial Scan Statistics for Linear Intersecting Paths

Lei Shi, Vandana Pursnani Janeja: Anomalous Window Discovery for Linear Intersecting Paths. IEEE Trans. Knowl. Data Eng. 23(12): 1857-1871 (2011)

Lei Shi, Vandana Pursnani Janeja: Anomalous window discovery through scan statistics for linear intersecting paths (SSLIP). KDD 2009: 767-776


         Random Walk based Scan Statistics

Vandana Pursnani Janeja, Vijayalakshmi Atluri: Random Walks to Identify Anomalous Free-Form Spatial Scan Windows. IEEE Trans. Knowl. Data Eng. 20(10): 1378-1392 (2008)


         Spatial Neighborhoods, Spatial Triangulation, Voronoi Tessellations and Delaunay Triangulations

Vandana Pursnani Janeja, Nabil R. Adam, Vijayalakshmi Atluri, Jaideep Vaidya: Spatial neighborhood based anomaly detection in sensor datasets. Data Min. Knowl. Discov. 20(2): 221-258 (2010)



Anomalous Windows through a Robust Nonparametric Multivariate Scan Statistic: userpages.umbc.edu/~vjaneja/2012-07-shi-RMSS.zip

         Multivariate Scan Statistc Method

         Robust Mahalanobis Distance

         Compound Estimators

         Paper discussing the methodology: Lei Shi, Vandana Pursnani Janeja: Discovery of Anomalous Windows through a Robust Nonparametric Multivariate Scan Statistic (RMSS). IJDWM 9(1): 28-55 (2013)


Similarity Coefficients: http://userpages.umbc.edu/~lewisd1/simcoef/

         This Prototype has the similarity computations of 34 different similarity coefficients as discussed in

David M. Lewis, Vandana Pursnani Janeja: An Empirical Evaluation of Similarity Coefficients for Binary Valued Data. IJDWM 7(2): 44-66 (2011)


Markov Model Based Neighborhood Discovery: Contact Vandana Janeja

Sandipan Dey, Vandana Pursnani Janeja, Aryya Gangopadhyay: Temporal Neighborhood Discovery Using Markov Models. ICDM 2009: 110-119


Multi-Domain Data Mining: Contact Vandana Janeja

V.P. Janeja and R. Palanisamy, Multi Domain Anomaly Detection in Spatial Datasets, Knowledge and Information Systems Journal, DOI: 10.1007/s10115-012-0534-5, Oct 2012.