Paul Suganthan G. C.

According to our database, Paul Suganthan G. C. authored at least 18 papers between 2013 and 2022.

Collaborative distances:

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

2022

AutoSlicer: Scalable Automated Data Slicing for ML Model Analysis.

Zifan Liu, Evan Rosen, Paul Suganthan G. C.

CoRR, 2022

2021

Validating Data and Models in Continuous ML Pipelines.

Mike Dreves, Gene Huang, Zhuo Peng, Neoklis Polyzotis, Evan Rosen, Paul Suganthan G. C.

IEEE Data Eng. Bull., 2021

2020

Magellan: toward building ecosystems of entity matching solutions.

AnHai Doan, Pradap Konda, Paul Suganthan G. C., Yash Govind, Derek Paulsen, Kaushik Chandrasekhar, Philip Martinkus, Matthew Christie

Commun. ACM, 2020

From Data to Models and Back.

Mike Dreves, Gene Huang, Zhuo Peng, Neoklis Polyzotis, Evan Rosen, Paul Suganthan G. C.

Proceedings of the Fourth Workshop on Data Management for End-To-End Machine Learning, 2020

TensorFlow Data Validation: Data Analysis and Validation in Continuous ML Pipelines.

Emily Caveness, Paul Suganthan G. C., Zhuo Peng, Neoklis Polyzotis, Sudip Roy, Martin Zinkevich

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

Entity Matching Meets Data Science: A Progress Report from the Magellan Project.

Yash Govind, Pradap Konda, Paul Suganthan G. C., Philip Martinkus, Palaniappan Nagarajan, Han Li, Aravind Soundararajan, Sidharth Mudgal, Jeffrey R. Ballard, Haojun Zhang, Adel Ardalan, Sanjib Das, Derek Paulsen, Amanpreet Singh Saini, Erik Paulson, Youngchoon Park, Marshall Carter, Mingju Sun, Glenn Moo Fung, AnHai Doan

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

2018

Technical Perspective: : Toward Building Entity Matching Management Systems.

Pradap Konda, Sanjib Das, Paul Suganthan G. C., Philip Martinkus, Adel Ardalan, Jeffrey R. Ballard, Yash Govind, Han Li, Fatemah Panahi, Haojun Zhang, Jeffrey F. Naughton, Shishir Prasad, Ganesh Krishnan, Rohit Deep, Vijay Raghavendra

SIGMOD Rec., 2018

CloudMatcher: A Hands-Off Cloud/Crowd Service for Entity Matching.

Yash Govind, Erik Paulson, Palaniappan Nagarajan, Paul Suganthan G. C., AnHai Doan, Youngchoon Park, Glenn Fung, Devin Conathan, Marshall Carter, Mingju Sun

Proc. VLDB Endow., 2018

Smurf: Self-Service String Matching Using Random Forests.

Paul Suganthan G. C., Adel Ardalan, AnHai Doan, Aditya Akella

Proc. VLDB Endow., 2018

Toward a System Building Agenda for Data Integration (and Data Science).

AnHai Doan, Pradap Konda, Paul Suganthan G. C., Adel Ardalan, Jeffrey R. Ballard, Sanjib Das, Yash Govind, Han Li, Philip Martinkus, Sidharth Mudgal, Erik Paulson, Haojun Zhang

IEEE Data Eng. Bull., 2018

MatchCatcher: A Debugger for Blocking in Entity Matching.

Han Li, Pradap Konda, Paul Suganthan G. C., AnHai Doan, Benjamin Snyder, Youngchoon Park, Ganesh Krishnan, Rohit Deep, Vijay Raghavendra

Proceedings of the 21st International Conference on Extending Database Technology, 2018

2017

Toward a System Building Agenda for Data Integration.

AnHai Doan, Adel Ardalan, Jeffrey R. Ballard, Sanjib Das, Yash Govind, Pradap Konda, Han Li, Erik Paulson, Paul Suganthan G. C., Haojun Zhang

CoRR, 2017

Human-in-the-Loop Challenges for Entity Matching: A Midterm Report.

AnHai Doan, Adel Ardalan, Jeffrey R. Ballard, Sanjib Das, Yash Govind, Pradap Konda, Han Li, Sidharth Mudgal, Erik Paulson, Paul Suganthan G. C., Haojun Zhang

Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, 2017

Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services.

Sanjib Das, Paul Suganthan G. C., AnHai Doan, Jeffrey F. Naughton, Ganesh Krishnan, Rohit Deep, Esteban Arcaute, Vijay Raghavendra, Youngchoon Park

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

2016

Magellan: Toward Building Entity Matching Management Systems over Data Science Stacks.

Pradap Konda, Sanjib Das, Paul Suganthan G. C., AnHai Doan, Adel Ardalan, Jeffrey R. Ballard, Han Li, Fatemah Panahi, Haojun Zhang, Jeffrey F. Naughton, Shishir Prasad, Ganesh Krishnan, Rohit Deep, Vijay Raghavendra

Proc. VLDB Endow., 2016

Magellan: Toward Building Entity Matching Management Systems.

Pradap Konda, Sanjib Das, Paul Suganthan G. C., AnHai Doan, Adel Ardalan, Jeffrey R. Ballard, Han Li, Fatemah Panahi, Haojun Zhang, Jeffrey F. Naughton, Shishir Prasad, Ganesh Krishnan, Rohit Deep, Vijay Raghavendra

Proc. VLDB Endow., 2016

2015

Why Big Data Industrial Systems Need Rules and What We Can Do About It.

Paul Suganthan G. C., Chong Sun, Krishna Gayatri K., Haojun Zhang, Frank Yang, Narasimhan Rampalli, Shishir Prasad, Esteban Arcaute, Ganesh Krishnan, Rohit Deep, Vijay Raghavendra, AnHai Doan

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

2013

Social Media Analytics: The Kosmix Story.

Xiaoyong Chai, Omkar Deshpande, Nikesh Garera, Rohit Kumar, Wang Lam, Digvijay S. Lamba, Lu Liu, Mitul Tiwari, Michel Tourn, Zoheb Vacheri, STS Prasad, Sri Subramaniam, Venky Harinarayan, Anand Rajaraman, Adel Ardalan, Sanjib Das, Paul Suganthan G. C., AnHai Doan

IEEE Data Eng. Bull., 2013