Publications

2018

  • Sirisha Velampalli, William Eberle, and Lenin Mookiah, “Graph Analytics: Mining Interesting Substructures using Graph Properties as Background Knowledge”, Intelligent Data Analysis, an International Journal, Volume 22(5) (to appear in October 2018 issue).
  • Lenin Mookiah, William Eberle, and M. Mondal, “Personalized News Recommendation using Graph-Based Approach”, Intelligent Data Analysis, an International Journal, Volume 22 (2018) 881–909.
  • Ramesh Paudel, William Eberle, and Lawrence Holder, “Anomaly Detection of Elderly Patient Activities in Smart Homes using a Graph-Based Approach,” International Conference on Data Science (ICDATA), July 2018.
  • Sheikh Rabiul Islam, William Eberle, and Sheikh Ghafoor, “Credit Default Mining Using Combined Machine Learning and Heuristic Approach,” International Conference on Data Science (ICDATA), July 2018.
  • Rina Singh, Jeffrey Graves, Douglas Talbert, and William Eberle, “Prefix and Suffix Sequential Pattern Mining”, Conference on Machine Learning and Data Mining (MLDM), July, 2018.
  • Ramesh Paudel, Kimberlyn Dunn, William Eberle, and Danielle Chaung, “Cognitive Health Prediction on the Elderly Using Sensor Data in Smart Homes,” International Conference of the Florida AI Research Society (FLAIRS), May 2018,

2017

  • Sirisha Velampalli, Lenin Mookiah, and William Eberle, “Detecting Vehicular Patterns Using a Graph-Based Approach,” IEEE Conference on Visual Analytics Science and Technology (VAST), October 2017.
  • Deon Liang, Chih-Fong Tsai, An-Jie Dai, and William Eberle, “A novel classifier ensemble approach for financial distress prediction,” Knowledge and Information Systems, An International Journal, May 2017.
  • Lenin Mookiah, Chris Dean, and William Eberle, “Graph-Based Anomaly Detection on Smart Grid Data,” International Conference of the Florida AI Research Society (FLAIRS), May 2017.
  • Ramesh Paudel, William Eberle, and Douglas Talbert “Detection of Anomalous Activity in Diabetic Patients Using Graph-Based Approach,” International Conference of the Florida AI Research Society (FLAIRS), May 2017.
  • Sirisha Velampalli and William Eberle, “Novel Graph Based Anomaly Detection Using Background Knowledge,” International Conference of the Florida AI Research Society (FLAIRS), May 2017.
  • Nishith Thakkar, Lenin Mookiah, Douglas Talbert, and William Eberle, “Anomalies in Student Enrollment Using Visualization,” International Conference of the Florida AI Research Society (FLAIRS), May 2017.

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006