Parag Agrawal

According to our database, Parag Agrawal authored at least 24 papers between 2006 and 2023.

Collaborative distances:

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

2023

Promoting Inactive Members in Edge-Building Marketplace.

Ayan Acharya, Siyuan Gao, Borja Ocejo, Kinjal Basu, Ankan Saha, Sathiya Keerthi Selvaraj, Rahul Mazumder, Parag Agrawal, Aman Gupta

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Optimizing for Member Value in an Edge Building Marketplace.

Ayan Acharya, Siyuan Gao, Ankan Saha, Borja Ocejo, Kinjal Basu, Sathiya Keerthi Selvaraj, Rahul Mazumder, Aman Gupta, Parag Agrawal

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Theory meets practice approach for Event Correlations.

Sai Charan Emmadi, Parag Agrawal, Satya Samudrala, Vikrant Shimpi, Maitreya Natu

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Simplifying Process Navigations - Divide and Rule way.

Sai Charan Emmadi, Satya Samudrala, Parag Agrawal, Maitreya Natu

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

Prediction Diagnostics - Addressing data veracity in predicting batch processes.

Parag Agrawal, Priyadarshi, Vikrant Shimpi, Neha Behl, Deepa Vaidyanathan, Maitreya Natu

Proceedings of the 2021 International Conference on Data Mining, 2021

2020

QnAMaker: Data to Bot in 2 Minutes.

Parag Agrawal, Tulasi Menon, Aya Kamel, Michel Naim, Chaikesh Chouragade, Gurvinder Singh, Rohan Kulkarni, Anshuman Suri, Sahithi Katakam, Vineet Pratik, Prakul Bansal, Simerpreet Kaur, Anand Duggal, Achraf Chalabi, Prashant Choudhari, Somi Reddy Satti, Niranjan Nayak, Neha Rajput

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

2019

NELEC at SemEval-2019 Task 3: Think Twice Before Going Deep.

Parag Agrawal, Anshuman Suri

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Mining Strengths and Weaknesses of Cricket Players Using Short Text Commentary.

Swarup Ranjan Behera, Parag Agrawal, Amit Awekar, Vijaya Saradhi Vedula

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

A Trustworthy, Responsible and Interpretable System to Handle Chit Chat in Conversational Bots.

Parag Agrawal, Anshuman Suri, Tulasi Menon

CoRR, 2018

2017

Mining Unusual Search Behavior Related to Physical Events.

Abhay Prakash, Parag Agrawal, Kedhar Nath Narahari, Puneet Agrawal

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

2014

Interpretable and Informative Explanations of Outcomes.

Kareem El Gebaly, Parag Agrawal, Lukasz Golab, Flip Korn, Divesh Srivastava

Proc. VLDB Endow., 2014

2012

Incorporating uncertainty in data management and integration.

Parag Agrawal

PhD thesis, 2012

2011

The case for RAMCloud.

John K. Ousterhout, Parag Agrawal, David Erickson, Christos Kozyrakis, Jacob Leverich, David Mazières, Subhasish Mitra, Aravind Narayanan, Diego Ongaro, Guru M. Parulkar, Mendel Rosenblum, Stephen M. Rumble, Eric Stratmann, Ryan Stutsman

Commun. ACM, 2011

2010

Foundations of Uncertain-Data Integration.

Parag Agrawal, Anish Das Sarma, Jeffrey D. Ullman, Jennifer Widom

Proc. VLDB Endow., 2010

On indexing error-tolerant set containment.

Parag Agrawal, Arvind Arasu, Raghav Kaushik

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

Generalized Uncertain Databases: First Steps.

Parag Agrawal, Jennifer Widom

Proceedings of the Fourth International VLDB workshop on Management of Uncertain Data (MUD 2010) in conjunction with VLDB 2010, 2010

2009

The case for RAMClouds: scalable high-performance storage entirely in DRAM.

John K. Ousterhout, Parag Agrawal, David Erickson, Christos Kozyrakis, Jacob Leverich, David Mazières, Subhasish Mitra, Aravind Narayanan, Guru M. Parulkar, Mendel Rosenblum, Stephen M. Rumble, Eric Stratmann, Ryan Stutsman

ACM SIGOPS Oper. Syst. Rev., 2009

Asynchronous view maintenance for VLSD databases.

Parag Agrawal, Adam Silberstein, Brian F. Cooper, Utkarsh Srivastava, Raghu Ramakrishnan

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

Continuous Uncertainty in Trio.

Parag Agrawal, Jennifer Widom

Proceedings of the Third VLDB workshop on Management of Uncertain Data (MUD2009) in conjunction with VLDB 2009, 2009

Confidence-Aware Join Algorithms.

Parag Agrawal, Jennifer Widom

Proceedings of the 25th International Conference on Data Engineering, 2009

2008

Scheduling shared scans of large data files.

Parag Agrawal, Daniel Kifer, Christopher Olston

Proc. VLDB Endow., 2008

Towards Special-Purpose Indexes and Statistics for Uncertain Data.

Anish Das Sarma, Parag Agrawal, Shubha U. Nabar, Jennifer Widom

Proceedings of the International Workshop on Quality in Databases and Management of Uncertain Data, 2008

2007

Trio-One: Layering Uncertainty and Lineage on a Conventional DBMS (Demo).

Michi Mutsuzaki, Martin Theobald, Ander de Keijzer, Jennifer Widom, Parag Agrawal, Omar Benjelloun, Anish Das Sarma, Raghotham Murthy, Tomoe Sugihara

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

2006

Trio: A System for Data, Uncertainty, and Lineage.

Parag Agrawal, Omar Benjelloun, Anish Das Sarma, Chris Hayworth, Shubha U. Nabar, Tomoe Sugihara, Jennifer Widom

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