The following papers and publications have been produced over the years by professors and students who have collaborated with us as part of our academic program and a number of LexisNexis employees. We are proud to have supported our academic partners and colleagues in their research.
Every year, we welcome a number of students on to the HPCC Systems summer intern program and we are equally proud to see that some of them have contributed to published research. Some students have also presented their research as part of our Technical Poster Presentation Contest, held at our annual HPCC Systems Community Summit.
Have you contributed to a paper or publication supported by HPCC Systems in some way? Or do you have a publication coming soon? Please tell us about it and contact us to tell us more about your research.
Are you using HPCC Systems as part of your project? Share your story with us.
| Year | Title | Author(s) | Accredited Organisation |
|---|---|---|---|
| 2019 | |||
| A Parallel and Distributed Stochastic Gradient Descent Implementation Using Commodity Clusters | Robert K.L. Kennedy, Taghi M. Khoshgoftaar, Flavio Villanustre, Tim Humphrey | Florida Atlantic University | |
| Random Forest Implementation and Optimization for Big Data Analytics on LexisNexis’s High Performance Computing Cluster Platform | Coming soon | Florida Atlantic University | |
| A Survey of Machine Learning Algorithms Available on the HPCC Systems | Coming soon | Florida Atlantic University | |
| 2018 | |||
| Dest-ResNet: a Deep Spatiotemporal Residual Network for Hotspot Traffic Speed Prediction | Binbing Liao, Jingqing Zhang | Imperial College, London | |
| Deep Sequence Learning with Auxiliary Information for Traffic Prediction | Binbing Liao, Jingqing Zhang, Chao Wu, Douglas McIlwraith, Tong Chen, Shengwen Yang, Yike Guo, Fei Wu | Imperial College, London | |
| HPCC Benchmarking | Rushikesh Ghatpande | North Carolina State University | |
| Finding better active learners for faster literature reviews | Zhe Yu, Nicholas A. Kraft, Tim Menzies | North Carolina State University | |
| Optimizing Set-Similarity Join and Search with different Prefix Schemes | Coming soon | North Carolina State University | |
| Security Alerting and Event Management in the Era of Machine Learning: Our Experience in the Industry | Flavio Villanustre | LexisNexis Risk Solutions | |
| 2017 | |||
| Representativeness of latent dirichlet allocation topics estimated from data samples with application to common crawl | Clemson University | ||
| ECL-watch: A big data application performance tuning tool in the HPCC systems platform | Clemson University | ||
| Large-scale distributed L-BFGS | Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Flavio Villanustre, John Holt | Florida Atlantic University | |
| Learning Text to Image Synthesis with Textual Data Augmentation | Hao Dong, Jingqing Zhang, Douglas McIlwraith, Yike Guo | Imperial College, London | |
| TensorDB: Database Infrastructure for Continuous Machine Learning | F. Liu, A. Oehmichen, J. Zhang, K. Sun, H. Dong, Y.Mo, Y. Guo | Imperial College, London | |
| Deep Poincare Map For Robust Medical Image Segmentation | Yuanhan Mo, Fangde Liu, Douglas McIlwraith, Guang Yang, Jingqing Zhang, Taigang He3, and Yike Guo | Imperial College, London | |
| Unsupervised deep kernel for high dimensional data | Ying Xie, Linh Le, Jie Hao | Kennesaw State University | |
| A sentiment-change-driven event discovery system | Lili Zhang, Ying Xie, Guoliang Liu | Kennesaw State University | |
| Trilogy: Data placement to improve performance and robustness of cloud computing | North Carolina State University | ||
| 2016 | |||
| Scalable Dynamic Topic Modeling with Clustered Latent Dirichlet Allocation (CLDA) | Christopher Gropp | Clemson University | |
| Automated cluster provisioning and workflow management for parallel scientific applications in the cloud | Brandon Posey, Christopher Gropp, Alexander Herzog, Amy Apon | Clemson University | |
| Big Data Technologies and Applications | Borko Furht, Flavio Villanustre | Florida Atlantic University | |
| Introduction to Big Data | Borko Furht, Flavio Villanustre | Florida Atlantic University | |
| Social Network Analytics: Hidden and Complex Fraud Schemes | Borko Furht, Flavio Villanustre | Florida Atlantic University | |
| Modeling Ebola Spread and Using HPCC/KEL System | Ankur Agarwal, Abhishek Jain | Florida Atlantic University | |
| The HPCC/ECL Platform for Big Data | David Alan Bayliss, Gavin Halliday, Arjuna Chala, Borko Furht | Florida Atlantic University | |
| Deep Learning Techniques in Big Data Analytics | Flavio Villanustre, Taghi M. Khoshgoftaar, Naeem Seliya, Randall Wald, Edin Muharemagic | Florida Atlantic University | |
| Visualization of big high dimensional data in a three dimensional space | Ying Xie, Jing He, Pooja Chenna, Linh Le | Kennesaw State University | |
| Graph Processing with Massive Datasets: A Kel Primer | Flavio Villanustre | LexisNexis Risk Solutions | |
| HPCC Systems for Cyber Security Analytics | Mauricio Renzi | LexisNexis Risk Solutions | |
| Unsupervised Learning and Image Classification in High Performance Computing Cluster | Wayne State University | ||
| A convex framework for high-dimensional sparse Cholesky based covariance estimation | Kshitij Khare, Syed Rahman, Sang Oh, Bala Rajaratnam | University of Florida | |
| 2015 | |||
| Dynamic Provisioning of Data Intensive Computing Middleware Frameworks: A Case Study | Linh Bao Ngo, Flavio Villanustre, Michael E. Payne, Richard Taylor | Clemson University | |
| Assessing the effect of high performance computing capabilities on academic research output | Linh B. Ngo, Michael E. Payne, Paul W. Wilson | Clemson University | |
| Deep learning applications and challenges in big data analytics | Maryam M Najafabadi, Flavio Villanustre, Taghi M Khoshgoftaar, Naeem Seliya, Randall Wald, Edin Muharemagic | Florida Atlantic University | |
| Industrial big data analytics: lessons from the trenches | Flavio Villanustre | LexisNexis Risk Solutions | |
| Commercial Big Data Workloads: Lessons from the Industry | Flavio Villanustre | LexisNexis Risk Solutions | |
| 2014 | |||
| Return on Investment from Academic Supercomputing | Greg Newby, Amy Apon, Nick Berente, Rudolph Eigenmann, Susan Fratkin, David Lifka, Craig A. Stewart | Clemson University | |
| Managing the academic data lifecycle: A case study of HPCC | Clemson University | ||
| Using feature selection and classification to build effective and efficient firewalls | Florida Atlantic University | ||
| Large-scale entity extraction and probabilistic record linkage | Flavio Villanustre | LexisNexis Risk Solutions | |
| Big data trends and evolution: a human perspective | Flavio Villanustre | LexisNexis Risk Solutions | |
| 2013 | |||
| Academic publishing as a social media paradigm | Clemson University | ||
| Efficiency as a Measure of Knowledge Production of Research Universities | Amy W. Apon, Michael E. Payne, Linh Bao Ngo, Paul W. Wilson | Clemson University | |
| 2011 | |||
| Handbook of Data Intensive Computing | Burko Furht, Armando Escalante | LexisNexis Risk Solutions | |
| Parallel Processing, Multiprocessors and Virtualization in Data-Intensive Computing | Jonathon Burger, Richard Chapman, Flavio Villanustre | LexisNexis Risk Solutions | |