Walid Budgaga

Publication Activity (10 Years)

Years Active: 2014-2020
Publications (10 Years): 5

Top Topics

Predictive Analytics

Anomaly Detection

Top Venues

Future Gener. Comput. Syst.

Concurr. Comput. Pract. Exp.

Publications

Walid Budgaga, Matthew Malensek, Sangmi Lee Pallickara, Shrideep Pallickara
Concerto: Leveraging Ensembles for Timely, Accurate Model Training Over Voluminous Datasets. BDCAT (2020)
Matthew Malensek, Walid Budgaga, Ryan Stern, Shrideep Pallickara, Sangmi Lee Pallickara
Trident: Distributed Storage, Analysis, and Exploration of Multidimensional Phenomena. IEEE Trans. Big Data 5 (2) (2019)
Daniel Rammer, Walid Budgaga, Thilina Buddhika, Shrideep Pallickara, Sangmi Lee Pallickara
Alleviating I/O Inefficiencies to Enable Effective Model Training Over Voluminous, High-Dimensional Datasets. IEEE BigData (2018)
Walid Budgaga, Matthew Malensek, Sangmi Lee Pallickara, Shrideep Pallickara
A framework for scalable real-time anomaly detection over voluminous, geospatial data streams. Concurr. Comput. Pract. Exp. 29 (12) (2017)
Walid Budgaga, Matthew Malensek, Sangmi Lee Pallickara, Neil Harvey, F. Jay Breidt, Shrideep Pallickara
Predictive analytics using statistical, learning, and ensemble methods to support real-time exploration of discrete event simulations. Future Gener. Comput. Syst. 56 (2016)
Matthew Malensek, Walid Budgaga, Sangmi Lee Pallickara, Neil Harvey, F. Jay Breidt, Shrideep Pallickara
Using Distributed Analytics to Enable Real-Time Exploration of Discrete Event Simulations. UCC (2014)