Douglas Burdick

According to our database, Douglas Burdick authored at least 39 papers between 2001 and 2022.

Collaborative distances:

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

2022

DI-2022: The Third Document Intelligence Workshop.

Ani Nenkova, Douglas Burdick, Benjamin Han, Dave Lewis, Sandeep Tata, Dan Tecuci

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

ICDAR 2021 Competition on Scientific Literature Parsing.

Antonio Jimeno-Yepes, Xu Zhong, Douglas Burdick

CoRR, 2021

Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context.

Xinyi Zheng, Douglas Burdick, Lucian Popa, Xu Zhong, Nancy Xin Ru Wang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

DI-2021: The Second Document Intelligence Workshop.

Benjamin Han, Douglas Burdick, Dave Lewis, Yijuan Lu, Hamid Motahari, Sandeep Tata

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

TableLab: An Interactive Table Extraction System with Adaptive Deep Learning.

Nancy Xin Ru Wang, Douglas Burdick, Yunyao Li

Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

ICDAR 2021 Competition on Scientific Literature Parsing.

Antonio Jimeno-Yepes, Peter Zhong, Douglas Burdick

Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

KAAPA: Knowledge Aware Answers from PDF Analysis.

Nicolas R. Fauceglia, Mustafa Canim, Alfio Gliozzo, Jennifer J. Liang, Nancy Xin Ru Wang, Douglas Burdick, Nandana Mihindukulasooriya, Vittorio Castelli, Guy Feigenblat, David Konopnicki, Yannis Katsis, Radu Florian, Yunyao Li, Salim Roukos, Avirup Sil

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Table Extraction and Understanding for Scientific and Enterprise Applications.

Doug Burdick, Marina Danilevsky, Alexandre V. Evfimievski, Yannis Katsis, Nancy Xin Ru Wang

Proc. VLDB Endow., 2020

Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context.

Xinyi Zheng, Douglas Burdick, Lucian Popa, Nancy Xin Ru Wang

CoRR, 2020

2019

Expressive power of entity-linking frameworks.

Douglas Burdick, Ronald Fagin, Phokion G. Kolaitis, Lucian Popa, Wang-Chiew Tan

J. Comput. Syst. Sci., 2019

Financial Entity Identification and Information Integration (FEIII) 2019 Challenge: The Report of the Organizing Committee.

Louiqa Raschid, Douglas Burdick, Cesar de Pablo, Mark D. Flood, John Grant, Joe Langsam, Jay Pujara, Elena Tomas, Ian Soboroff

Proceedings of the 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets, 2019

DSMM'19: The 5^th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets.

Douglas Burdick, Rajasekar Krishnamurthy, Louiqa Raschid

Proceedings of the 2019 International Conference on Management of Data, 2019

Learning Explainable Entity Resolution Algorithms for Small Business Data using SystemER.

Kun Qian, Douglas Burdick, Sairam Gurajada, Lucian Popa

Proceedings of the 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets, 2019

Simultaneous Optimisation of Image Quality Improvement and Text Content Extraction from Scanned Documents.

Shashank Mujumdar, Nitin Gupta, Abhinav Jain, Douglas Burdick

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

2018

Financial Entity Identification and Information Integration (FEIII) 2018 Challenge: The Report of the Organizing Committee.

Louiqa Raschid, Douglas Burdick, John Grant, Joe Langsam, Jay Pujara, Elizabeth Roman, Ian Soboroff, Mohammed J. Zaki, Elena Zotkina

Proceedings of the Fourth International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, 2018

Defining and Capturing the Competitor Relationship across Financial Datasets.

Min Li, Douglas Burdick, Rajasekar Krishnamurthy, Lucian Popa

Proceedings of the Fourth International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, 2018

2017

Towards Re-defining Relation Understanding in Financial Domain.

Chenguang Wang, Douglas Burdick, Laura Chiticariu, Rajasekar Krishnamurthy, Yunyao Li, Huaiyu Zhu

Proceedings of the 3rd International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, 2017

Financial Entity Identification and Information Integration (FEIII) 2017 Challenge: The Report of the Organizing Committee.

Louiqa Raschid, Douglas Burdick, Mark D. Flood, John Grant, Joe Langsam, Ian Soboroff

Proceedings of the 3rd International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, 2017

2016

A Declarative Framework for Linking Entities.

Douglas Burdick, Ronald Fagin, Phokion G. Kolaitis, Lucian Popa, Wang-Chiew Tan

ACM Trans. Database Syst., 2016

Exploiting Lists of Names for Named Entity Identification of Financial Institutions from Unstructured Documents.

Zheng Xu, Douglas Burdick, Louiqa Raschid

CoRR, 2016

Towards High-Precision and Reusable Entity Resolution Algorithms over Sparse Financial Datasets.

Douglas Burdick, Lucian Popa, Rajasekar Krishnamurthy

Proceedings of the Second International Workshop on Data Science for Macro-Modeling, 2016

resMBS: Constructing a Financial Supply Chain from Prospectus.

Douglas Burdick, Soham De, Louiqa Raschid, Mingchao Shao, Zheng Xu, Elena Zotkina

Proceedings of the Second International Workshop on Data Science for Macro-Modeling, 2016

2015

Efficient sample generation for scalable meta learning.

Sebastian Schelter, Juan Soto, Volker Markl, Douglas Burdick, Berthold Reinwald, Alexandre V. Evfimievski

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014

Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML.

Matthias Boehm, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen, Yuanyuan Tian, Douglas Burdick, Shivakumar Vaithyanathan

Proc. VLDB Endow., 2014

SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs.

Matthias Böhm, Douglas R. Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Frederick R. Reiss, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian

IEEE Data Eng. Bull., 2014

Data Science Challenges in Real Estate Asset and Capital Markets.

Douglas Burdick, Michael J. Franklin, Paulo Issler, Rajasekar Krishnamurthy, Lucian Popa, Louiqa Raschid, Richard Stanton, Nancy Wallace

Proceedings of the International Workshop on Data Science for Macro-Modeling, 2014

Financial Analytics from Public Data.

Douglas Burdick, Alexandre V. Evfimievski, Rajasekar Krishnamurthy, Neal Lewis, Lucian Popa, Scott Rickards, Peter R. Williams

Proceedings of the International Workshop on Data Science for Macro-Modeling, 2014

2013

Compiling machine learning algorithms with SystemML.

Matthias Boehm, Douglas Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian

Proceedings of the ACM Symposium on Cloud Computing, SOCC '13, 2013

High-Level Rules for Integration and Analysis of Data: New Challenges.

Bogdan Alexe, Douglas Burdick, Mauricio A. Hernández, Georgia Koutrika, Rajasekar Krishnamurthy, Lucian Popa, Ioana Stanoi, Ryan Wisnesky

Proceedings of the In Search of Elegance in the Theory and Practice of Computation, 2013

2011

Extracting, Linking and Integrating Data from Public Sources: A Financial Case Study.

Douglas Burdick, Mauricio A. Hernández, Howard Ho, Georgia Koutrika, Rajasekar Krishnamurthy, Lucian Popa, Ioana Stanoi, Shivakumar Vaithyanathan, Sanjiv R. Das

IEEE Data Eng. Bull., 2011

2010

Exploring schema similarity at multiple resolutions.

Kenneth P. Smith, Craig Bonaceto, Chris Wolf, Beth Yost, Michael Morse, Peter Mork, Doug Burdick

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

OpenII: an open source information integration toolkit.

Len Seligman, Peter Mork, Alon Y. Halevy, Kenneth P. Smith, Michael J. Carey, Kuang Chen, Chris Wolf, Jayant Madhavan, Akshay Kannan, Doug Burdick

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

2007

OLAP over uncertain and imprecise data.

Douglas Burdick, Prasad M. Deshpande, T. S. Jayram, Raghu Ramakrishnan, Shivakumar Vaithyanathan

VLDB J., 2007

OLAP over Imprecise Data with Domain Constraints.

Douglas Burdick, AnHai Doan, Raghu Ramakrishnan, Shivakumar Vaithyanathan

Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

DBLife: A Community Information Management Platform for the Database Research Community (Demo).

Pedro DeRose, Warren Shen, Fei Chen, Yoonkyong Lee, Douglas Burdick, AnHai Doan, Raghu Ramakrishnan

Proceedings of the Third Biennial Conference on Innovative Data Systems Research, 2007

2006

Efficient Allocation Algorithms for OLAP Over Imprecise Data.

Douglas Burdick, Prasad M. Deshpande, T. S. Jayram, Raghu Ramakrishnan, Shivakumar Vaithyanathan

Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

2005

MAFIA: A Maximal Frequent Itemset Algorithm.

Douglas Burdick, Manuel Calimlim, Jason Flannick, Johannes Gehrke, Tomi Yiu

IEEE Trans. Knowl. Data Eng., 2005

2003

MAFIA: A Performance Study of Mining Maximal Frequent Itemsets.

Douglas Burdick, Manuel Calimlim, Jason Flannick, Johannes Gehrke, Tomi Yiu

Proceedings of the FIMI '03, 2003

2001

MAFIA: A Maximal Frequent Itemset Algorithm for Transactional Databases.

Douglas Burdick, Manuel Calimlim, Johannes Gehrke

Proceedings of the 17th International Conference on Data Engineering, 2001