Finding a Balance Between Interestingness and Diversity in Sequential Pattern Mining
Rina Singh, Jeffrey A. Graves, Lemuel R. Waitman, Douglas A. Talbert. In proceedings of the 14th International Conference on Data Science. ICDATA 2018.
CV
Education
- Postdoctoral Research Associate, New York University.
- Ph.D. in Computer Science, Tennessee Technological University.
- M.S. in Computer Science, Delft University of Technology.
Work experience
- Summer 2017: Computational Data Analytics Intern
- Oak Ridge National Laboratory
- Duties included: Contributed in a project involving a semantic web-based distributed system environment for query processing capability over geo-distributed data centers.
- Summer 2016: Advanced Data and Workflow Intern
- Oak Ridge National Laboratory
- Duties included: Evaluated several existing workflow engines on high performance computing architectures (Titan, Rhea, Eos) and produce a qualitative and quantitative analysis. Resulted in IEEE BigData 2019 publication.
- Summer 2015: Computational Data Analytics Intern
- Oak Ridge National Laboratory
- Duties included: Implemented an algorithm for Urika-GD graph appliance to perform genome assembly using semantic web technologies (RDF, SPARQL) and the Java language. Resulted in IEEE BigData 2015 publication.
- Summer 2013: Research Intern
- Tsinghua University
- Duties included: Conducted literature study and implemented an approach for identity resolution of multiple users in different social networks..
Skills
- Python
- Pandas/NumPy
- Scikit-learn
- Java
- Deep Learning
- Tensorflow
- Keras
- GraphLab/WEKA
Publications
Evaluating Scientific Workflow Engines for Data and Compute Intensive Discoveries
Rina Singh, Jeffrey Graves, Sreenivas Sukumar, and Valentine Anantharaj. Workshop on Big Data Tools and Use Cases for Innovative Scientific Discovery. IEEE BigData 2019.
Fair Predictors under Distribution Shift
Harvineet Singh, Rina Singh, Vishwali Mhasawade, Rumi Chunara. Workshop on Fair ML for Health at Conference on Neural Information Processing Systems. NeurIPS 2019.
Talks
Complex Patterns in Dynamic Attributed Graphs
Conference proceedings poster presentation at The 25th International World Wide Web Conference (WWW 2016), Montreal, Canada
Subgroup Discovery in Sequential Databases
Conference proceedings poster presentation at The 31st International FLAIRS Conference, Melbourne, FL
Semi-Supervised Generative Adversarial Networks on Text Data
Talk at Oak Ridge National Laboratory, Oak Ridge, TN
Fair Predictors under Distribution Shift
Talk at Tennessee Technological University, Cookeville, TN
An NLP Classifier for Fraud Detection
Talk at Tennessee Technological University, Cookeville, TN
Teaching
Services
- Program Committee and Reviewer - FLAIRS, ML4H, ACM CHIL, NeurIPS