Kareem S. Aggour

Publication Activity (10 Years)

Years Active: 1994-2021
Publications (10 Years): 14

Top Topics

Data Management

Top Venues

Proc. VLDB Endow.

Publications

Vijay S. Kumar, Tianyi Wang, Kareem S. Aggour, Pengyuan Wang, Philip J. Hart, Weizhong Yan
Big Data Analysis of Massive PMU Datasets: A Data Platform Perspective. ISGT (2021)
Vijay S. Kumar, Sharad Dixit, Kareem S. Aggour, Jenny Weisenberg Williams, Paul Cuddihy
On-demand Knowledge Graphs for Standards-Based Power Grid Data Provisioning. IEA/AIE (2) (2021)
Paul Cuddihy, Jenny Weisenberg Williams, Vijay S. Kumar, Kareem S. Aggour, Andrew Crapo, Sharad Dixit
FDC Cache: Semantics-driven Federated Caching and Querying for Big Data. IEEE BigData (2020)
Alex Gittens, Kareem S. Aggour, Bülent Yener
Adaptive Sketching for Fast and Convergent Canonical Polyadic Decomposition. ICML (2020)
Kareem S. Aggour, Vijay S. Kumar, Paul Cuddihy, Jenny Weisenberg Williams, Vipul Gupta, Laura Dial, Timothy Hanlon, Justin Gambone, Joseph Vinciquerra
Federated Multimodal Big Data Storage & Analytics Platform for Additive Manufacturing. IEEE BigData (2019)
Timothy Hanlon, Johan Reimann, Monica A. Soare, Anjali Singhal, James Grande, Marc Edgar, Kareem S. Aggour, Joseph Vinciquerra
Artificial Intelligence Enabled Material Behavior Prediction. CoRR (2019)
Vijay S. Kumar, Paul Cuddihy, Kareem S. Aggour
NodeGroup: A Knowledge-driven Data Management Abstraction for Industrial Machine Learning. DEEM@SIGMOD (2019)
Paul Cuddihy, Justin McHugh, Jenny Weisenberg Williams, Varish Mulwad, Kareem S. Aggour
SemTK: A Semantics Toolkit for User-friendly SPARQL Generation and Semantic Data Management. ISWC (P&D/Industry/BlueSky) (2018)
Kareem S. Aggour, Alex Gittens, Bülent Yener
Accelerating a Distributed CPD Algorithm for Large Dense, Skewed Tensors. IEEE BigData (2018)
Paul Cuddihy, Justin McHugh, Jenny Weisenberg Williams, Varish Mulwad, Kareem S. Aggour
SemTK: An Ontology-first, Open Source Semantic Toolkit for Managing and Querying Knowledge Graphs. CoRR (2017)
Kareem S. Aggour, Jenny Weisenberg Williams, Justin McHugh, Vijay Kumar
Colt: Concept Lineage Tool for Data Flow Metadata Capture and Analysis. Proc. VLDB Endow. 10 (12) (2017)
Justin McHugh, Paul E. Cuddihy, Jenny Weisenberg Williams, Kareem S. Aggour, Vijay S. Kumar, Varish Mulwad
Integrated access to big data polystores through a knowledge-driven framework. IEEE BigData (2017)
Kareem S. Aggour, Bülent Yener
Adapting to data sparsity for efficient parallel PARAFAC tensor decomposition in Hadoop. IEEE BigData (2016)
Aritra Chowdhury, Christopher J. Sevinsky, Bülent Yener, Kareem S. Aggour, Steven M. Gustafson
A machine learning approach to quantifying noise in medical images. Medical Imaging: Digital Pathology (2016)
Jenny Weisenberg Williams, Paul Cuddihy, Justin McHugh, Kareem S. Aggour, Arvind Menon, Steven M. Gustafson, Timothy Healy
Semantics for Big Data access & integration: Improving industrial equipment design through increased data usability. IEEE BigData (2015)
Kareem S. Aggour, Vijay S. Kumar, Dipen P. Sangurdekar, Lee A. Newberg, Chinnappa D. Kodira
A highly parallel next-generation DNA sequencing data analysis pipeline in Hadoop. BIBM (2015)
Jenny Weisenberg Williams, Kareem S. Aggour, John Interrante, Justin McHugh, Eric Pool
Bridging high velocity and high volume industrial big data through distributed in-memory storage & analytics. IEEE BigData (2014)
Kareem S. Aggour, Bethany Hoogs, Christina Leber, Carry Correia, Deniz Senturk-Doganaksoy
Mining company networks for marketing insights and sales leads. ASONAM (2013)
Kareem S. Aggour, Bethany Hoogs
Financing lead triggers: empowering sales reps through knowledge discovery and fusion. KDD (2013)
John Interrante, Kareem S. Aggour
Applying Cluster Computing to Enable a Large-scale Smart Grid Stability Monitoring Application. HPCC-ICESS (2012)
Christina LaComb, John Interrante, Kareem S. Aggour
Monitoring key company events through deliberative learning. Inf. Syst. E Bus. Manag. 5 (4) (2007)
Kareem S. Aggour, Robert M. Mattheyses, Joseph Shultz
Efficient quantum computing simulation through dynamic matrix restructuring and distributed evaluation. CLUSTER (2007)
Piero P. Bonissone, Anil Varma, Kareem S. Aggour, Feng Xue
Design of local fuzzy models using evolutionary algorithms. Comput. Stat. Data Anal. 51 (1) (2006)
Kareem S. Aggour, Piero P. Bonissone, William Cheetham, Richard P. Messmer
Automating the Underwriting of Insurance Applications. AI Mag. 27 (3) (2006)
Anil Varma, Kareem S. Aggour, Piero P. Bonissone
Selecting the Best Units in a Fleet: Performance Prediction from Equipment Peers. ICCBR (2005)
Kareem S. Aggour, William Cheetham
Automating the Underwriting of Insurance Applications. AAAI (2005)
Kareem S. Aggour, Barbara J. Vivier, Janet Arlie Barnett
Delegating Authority in a Distributed Information Management System. ICEIS (1) (2004)
Kareem S. Aggour, Marc Pavese, Piero P. Bonissone, William Cheetham
SOFT-CBR: A Self-Optimizing Fuzzy Tool for Case-Based Reasoning. ICCBR (2003)
Kareem S. Aggour, Marc Pavese
ROADS: A Reusable, Optimizable Architecture for Decision Systems. SEKE (2003)
Kareem S. Aggour, Renee Guhde, Melvin K. Simmons, Michael J. Simon
Simulation and verification II: simulating quantum computing: quantum express. WSC (2003)
Piero P. Bonissone, Raj Subbu, Kareem S. Aggour
Evolutionary optimization of fuzzy decision systems for automated insurance underwriting. FUZZ-IEEE (2002)
Piero P. Bonissone, Kareem S. Aggour
Fuzzy Automated Braking System for Collision Prevention. FUZZ-IEEE (2001)
Kareem S. Aggour
Investigating Data Allocation in Parallel Database Systems. Applied Informatics (1994)