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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.


YearTitleAuthor(s)Accredited Organisation
2019

A Parallel and Distributed Stochastic Gradient Descent Implementation Using Commodity ClustersRobert K.L. Kennedy, Taghi M. Khoshgoftaar, Flavio Villanustre, Tim HumphreyFlorida Atlantic University

Random Forest Implementation and Optimization for Big Data Analytics on LexisNexis’s High Performance Computing Cluster Platform Coming soonFlorida Atlantic University

A Survey of Machine Learning Algorithms Available on the HPCC Systems Coming soonFlorida Atlantic University

Integrating Semantic Knowledge to Tackle Zero-shot Text ClassificationJingqing Zhang, Piyawat Lertvittayakumjorn, Yike GuoImperial College, London

Design and Development of IoT Plugin for HPCC Systems

Coming soonRashtreeya Vidyalaya College of Engineering, India

Data Skew Profiling using HPCC Systems

Coming soonRashtreeya Vidyalaya College of Engineering, India




2018

Dest-ResNet: a Deep Spatiotemporal Residual Network for Hotspot Traffic Speed PredictionBinbing Liao, Jingqing ZhangImperial College, London

Deep Sequence Learning with Auxiliary Information for Traffic PredictionBinbing LiaoJingqing ZhangChao WuDouglas McIlwraithTong ChenShengwen YangYike GuoFei WuImperial College, London

HPCC BenchmarkingRushikesh GhatpandeNorth Carolina State University

Finding better active learners for faster literature reviewsZhe Yu, Nicholas A. Kraft, Tim MenziesNorth Carolina State University

Optimizing Set-Similarity Join and Search with different Prefix SchemesComing soonNorth Carolina State University

Security Alerting and Event Management in the Era of Machine Learning: Our Experience in the IndustryFlavio VillanustreLexisNexis Risk Solutions

Cervical Cancer Risk Factors: Exploratory Analysis using HPCC SystemsOmosalewa Itauma, Itauma ItaumaSouthern New Hampshire University/Wayne State University
2017

Representativeness of latent dirichlet allocation topics estimated from data samples with application to common crawlYuheng Du, Alexander Herzog, Andre Luckow, Ramu Nerella, Christopher Gropp, Amy AponClemson University

ECL-watch: A big data application performance tuning tool in the HPCC systems platformLili Xu Edin Muharemagic Amy AponClemson University

Large-scale distributed L-BFGS

Maryam M. Najafabadi, Taghi M. KhoshgoftaarFlavio Villanustre, John Holt

Florida Atlantic University

Learning Text to Image Synthesis with Textual Data AugmentationHao DongJingqing ZhangDouglas McIlwraithYike GuoImperial 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

The Deep Poincare Map: A Novel Approach for Left Ventricle 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 dataYing Xie, Linh Le, Jie HaoKennesaw State University

A sentiment-change-driven event discovery systemLili Zhang, Ying Xie, Guoliang LiuKennesaw State University

Trilogy: Data placement to improve performance and robustness of cloud computingChin-Jung Hsu, Vincent W. Freeh, Flavio VillanustreNorth Carolina State University
2016

Scalable Dynamic Topic Modeling with Clustered Latent Dirichlet Allocation (CLDA)Christopher GroppClemson University

Automated cluster provisioning and workflow management for parallel scientific applications in the cloudBrandon Posey, Christopher Gropp, Alexander Herzog, Amy AponClemson University

Big Data Technologies and ApplicationsBorko Furht, Flavio VillanustreFlorida Atlantic University

Introduction to Big DataBorko Furht, Flavio VillanustreFlorida Atlantic University

Social Network Analytics: Hidden and Complex Fraud SchemesBorko Furht, Flavio VillanustreFlorida Atlantic University

Modeling Ebola Spread and Using HPCC/KEL System

Jesse Shaw, Flavio Villanustre, Borko Furht, Ankur Agarwal, Abhishek Jain

Florida Atlantic University

The HPCC/ECL Platform for Big Data

Anthony M. Middleton, David Alan Bayliss, Gavin Halliday, Arjuna Chala, Borko Furht

Florida Atlantic University

Deep Learning Techniques in Big Data Analytics

Maryam M. Najafabadi, Flavio Villanustre, Taghi M. Khoshgoftaar, Naeem Seliya, Randall Wald, Edin Muharemagic

Florida Atlantic University

Visualization of big high dimensional data in a three dimensional spaceYing Xie, Jing He, Pooja Chenna, Linh LeKennesaw State University

Graph Processing with Massive Datasets: A Kel Primer

David Bayliss, Flavio Villanustre

LexisNexis Risk Solutions

HPCC Systems for Cyber Security Analytics

Flavio Villanustre, Mauricio Renzi

LexisNexis Risk Solutions

Unsupervised Learning and Image Classification in High Performance Computing ClusterItauma Itauma, Melih S. Aslan, Flavio Villanustre, Xue-wen ChenWayne State University

A convex framework for high-dimensional sparse Cholesky based covariance estimationKshitij Khare, Syed Rahman, Sang Oh, Bala RajaratnamUniversity of Florida
2015

Dynamic Provisioning of Data Intensive Computing Middleware Frameworks: A Case StudyLinh Bao Ngo, Flavio Villanustre, Michael E. Payne, Richard TaylorClemson University

Assessing the effect of high performance computing capabilities on academic research output

Amy W. Apon, 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 KhoshgoftaarNaeem SeliyaRandall Wald, Edin Muharemagic

Florida Atlantic University

Industrial big data analytics: lessons from the trenchesFlavio VillanustreLexisNexis Risk Solutions

Commercial Big Data Workloads: Lessons from the IndustryFlavio VillanustreLexisNexis Risk Solutions
2014

Return on Investment from Academic SupercomputingGreg Newby, Amy Apon, Nick Berente, Rudolph Eigenmann, Susan Fratkin, David Lifka, Craig A. StewartClemson University

Managing the academic data lifecycle: A case study of HPCCMichael E. Payne, Linh B. Ngo, Flavio Villanustre, Amy W. AponClemson University

Using feature selection and classification to build effective and efficient firewallsRandall Wald, Flavio Villanustre, Taghi M. Khoshgoftaar, Richard Zuech, Jarvis Robinson, Edin MuharemagicFlorida Atlantic University

Large-scale entity extraction and probabilistic record linkageFlavio VillanustreLexisNexis Risk Solutions

Big data trends and evolution: a human perspectiveFlavio VillanustreLexisNexis Risk Solutions
2013

Academic publishing as a social media paradigmMichael E. Payne, Linh B. Ngo, Amy W. AponClemson University

Efficiency as a Measure of Knowledge Production of Research UniversitiesAmy W. Apon, Michael E. Payne, Linh Bao Ngo, Paul W. WilsonClemson University
2011

Handbook of Data Intensive ComputingBurko Furht, Armando EscalanteLexisNexis Risk Solutions

Parallel Processing, Multiprocessors and Virtualization in Data-Intensive ComputingJonathon Burger, Richard Chapman, Flavio VillanustreLexisNexis Risk Solutions






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