引用次数
引用: 123
H-指数: 5
I10-指数 : 3
出版物: 8
Using Distributed Analytics to Enable Real-Time Exploration of Discrete Event Simulations
Matthew Malensek , Walid Budgaga , Sangmi Pallickara , Neil Harvey
ieee acm international conference utility and cloud computing 49 -58
4
2014
Alleviating I/O Inefficiencies to Enable Effective Model Training Over Voluminous, High-Dimensional Datasets
Daniel Rammer , Walid Budgaga , Thilina Buddhika , Shrideep Pallickara
international conference on big data 468 -477
2
2018
A framework for scalable real‐time anomaly detection over voluminous, geospatial data streams
Walid Budgaga , Matthew Malensek , Sangmi Lee Pallickara , Shrideep Pallickara
Concurrency and Computation: Practice and Experience 29 ( 12)
3
2017
Predictive analytics using statistical, learning, and ensemble methods to support real-time exploration of discrete event simulations
Walid Budgaga , Matthew Malensek , Sangmi Pallickara , Neil Harvey
Future Generation Computer Systems 56 360 -374
22
2016
Concerto: Leveraging Ensembles for Timely, Accurate Model Training Over Voluminous Datasets
Walid Budgaga , Matthew Malensek , Sangmi Lee Pallickara , Shrideep Pallickara
2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) 106 -115
2020
Trident: Distributed storage, analysis, and exploration of multidimensional phenomena
Matthew Malensek , Walid Budgaga , Ryan Stern , Shrideep Pallickara
IEEE Transactions on Big Data 5 ( 2) 252 -265
9
2018
A framework for real-time, autonomous anomaly detection over voluminous time-series geospatial data streams
Walid Budgaga
Colorado State University
2
2014
Leveraging ensembles: balancing timeliness and accuracy for model training over voluminous datasets
Walid Budgaga
Colorado State University
2020