Kareem S. Aggour

According to our database, Kareem S. Aggour authored at least 34 papers between 1994 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Big Data Analysis of Massive PMU Datasets: A Data Platform Perspective.

Vijay S. Kumar, Tianyi Wang, Kareem S. Aggour, Pengyuan Wang, Philip J. Hart, Weizhong Yan

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2021

On-demand Knowledge Graphs for Standards-Based Power Grid Data Provisioning.

Vijay S. Kumar, Sharad Dixit, Kareem S. Aggour, Jenny Weisenberg Williams, Paul Cuddihy

Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021

2020

Adaptive Sketching for Fast and Convergent Canonical Polyadic Decomposition.

Alex Gittens, Kareem S. Aggour, Bülent Yener

Proceedings of the 37th International Conference on Machine Learning, 2020

FDC Cache: Semantics-driven Federated Caching and Querying for Big Data.

Paul Cuddihy, Jenny Weisenberg Williams, Vijay S. Kumar, Kareem S. Aggour, Andrew Crapo, Sharad Dixit

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Intelligent and scalable algorithms for canonical polyadic decomposition.

Kareem S. Aggour

PhD thesis, 2019

Artificial Intelligence Enabled Material Behavior Prediction.

Timothy Hanlon, Johan Reimann, Monica A. Soare, Anjali Singhal, James Grande, Marc Edgar, Kareem S. Aggour, Joseph Vinciquerra

CoRR, 2019

NodeGroup: A Knowledge-driven Data Management Abstraction for Industrial Machine Learning.

Vijay S. Kumar, Paul Cuddihy, Kareem S. Aggour

Proceedings of the 3rd International Workshop on Data Management for End-to-End Machine Learning, 2019

Federated Multimodal Big Data Storage & Analytics Platform for Additive Manufacturing.

Kareem S. Aggour, Vijay S. Kumar, Paul Cuddihy, Jenny Weisenberg Williams, Vipul Gupta, Laura Dial, Timothy Hanlon, Justin Gambone, Joseph Vinciquerra

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

SemTK: A Semantics Toolkit for User-friendly SPARQL Generation and Semantic Data Management.

Paul Cuddihy, Justin McHugh, Jenny Weisenberg Williams, Varish Mulwad, Kareem S. Aggour

Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th - to, 2018

Accelerating a Distributed CPD Algorithm for Large Dense, Skewed Tensors.

Kareem S. Aggour, Alex Gittens, Bülent Yener

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Colt: Concept Lineage Tool for Data Flow Metadata Capture and Analysis.

Kareem S. Aggour, Jenny Weisenberg Williams, Justin McHugh, Vijay Kumar

Proc. VLDB Endow., 2017

SemTK: An Ontology-first, Open Source Semantic Toolkit for Managing and Querying Knowledge Graphs.

Paul Cuddihy, Justin McHugh, Jenny Weisenberg Williams, Varish Mulwad, Kareem S. Aggour

CoRR, 2017

Integrated access to big data polystores through a knowledge-driven framework.

Justin McHugh, Paul E. Cuddihy, Jenny Weisenberg Williams, Kareem S. Aggour, Vijay S. Kumar, Varish Mulwad

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

A machine learning approach to quantifying noise in medical images.

Aritra Chowdhury, Christopher J. Sevinsky, Bülent Yener, Kareem S. Aggour, Steven M. Gustafson

Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016

Adapting to data sparsity for efficient parallel PARAFAC tensor decomposition in Hadoop.

Kareem S. Aggour, Bülent Yener

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Semantics for Big Data access & integration: Improving industrial equipment design through increased data usability.

Jenny Weisenberg Williams, Paul Cuddihy, Justin McHugh, Kareem S. Aggour, Arvind Menon, Steven M. Gustafson, Timothy Healy

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

A highly parallel next-generation DNA sequencing data analysis pipeline in Hadoop.

Kareem S. Aggour, Vijay S. Kumar, Dipen P. Sangurdekar, Lee A. Newberg, Chinnappa D. Kodira

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

Bridging high velocity and high volume industrial big data through distributed in-memory storage & analytics.

Jenny Weisenberg Williams, Kareem S. Aggour, John Interrante, Justin McHugh, Eric Pool

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013

Financing lead triggers: empowering sales reps through knowledge discovery and fusion.

Kareem S. Aggour, Bethany Hoogs

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Mining company networks for marketing insights and sales leads.

Kareem S. Aggour, Bethany Hoogs, Christina Leber, Carry Correia, Deniz Senturk-Doganaksoy

Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012

Applying Cluster Computing to Enable a Large-scale Smart Grid Stability Monitoring Application.

John Interrante, Kareem S. Aggour

Proceedings of the 14th IEEE International Conference on High Performance Computing and Communication & 9th IEEE International Conference on Embedded Software and Systems, 2012

2007

Monitoring key company events through deliberative learning.

Christina LaComb, John Interrante, Kareem S. Aggour

Inf. Syst. E Bus. Manag., 2007

Efficient quantum computing simulation through dynamic matrix restructuring and distributed evaluation.

Kareem S. Aggour, Robert M. Mattheyses, Joseph Shultz

Proceedings of the 2007 IEEE International Conference on Cluster Computing, 2007

2006

Design of local fuzzy models using evolutionary algorithms.

Piero P. Bonissone, Anil Varma, Kareem S. Aggour, Feng Xue

Comput. Stat. Data Anal., 2006

Automating the Underwriting of Insurance Applications.

Kareem S. Aggour, Piero P. Bonissone, William Cheetham, Richard P. Messmer

AI Mag., 2006

2005

Selecting the Best Units in a Fleet: Performance Prediction from Equipment Peers.

Anil Varma, Kareem S. Aggour, Piero P. Bonissone

Proceedings of the Case-Based Reasoning, 2005

Automating the Underwriting of Insurance Applications.

Kareem S. Aggour, William Cheetham

Proceedings of the Proceedings, 2005

2004

Delegating Authority in a Distributed Information Management System.

Kareem S. Aggour, Barbara J. Vivier, Janet Arlie Barnett

Proceedings of the ICEIS 2004, 2004

2003

Simulation and verification II: simulating quantum computing: quantum express.

Kareem S. Aggour, Renee Guhde, Melvin K. Simmons, Michael J. Simon

Proceedings of the 35th Winter Simulation Conference: Driving Innovation, 2003

ROADS: A Reusable, Optimizable Architecture for Decision Systems.

Kareem S. Aggour, Marc Pavese

Proceedings of the Fifteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2003), 2003

SOFT-CBR: A Self-Optimizing Fuzzy Tool for Case-Based Reasoning.

Kareem S. Aggour, Marc Pavese, Piero P. Bonissone, William Cheetham

Proceedings of the Case-Based Reasoning Research and Development, 2003

2002

Evolutionary optimization of fuzzy decision systems for automated insurance underwriting.

Piero P. Bonissone, Raj Subbu, Kareem S. Aggour

Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

2001

Fuzzy Automated Braking System for Collision Prevention.

Piero P. Bonissone, Kareem S. Aggour

Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

1994

Investigating Data Allocation in Parallel Database Systems.

Kareem S. Aggour

Proceedings of the 12st IASTED International Conference on Applied Informatics, 1994