Parag Agrawal

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 12

Top Topics

Generating Explanations

Application Domains

Search Behavior

Top Venues

WWW (Companion Volume)

ICDM (Workshops)

Proc. VLDB Endow.

Publications

Sai Charan Emmadi, Parag Agrawal, Satya Samudrala, Vikrant Shimpi, Maitreya Natu
Theory meets practice approach for Event Correlations. BigData (2023)
Ayan Acharya, Siyuan Gao, Borja Ocejo, Kinjal Basu, Ankan Saha, Sathiya Keerthi Selvaraj, Rahul Mazumder, Parag Agrawal, Aman Gupta
Promoting Inactive Members in Edge-Building Marketplace. WWW (Companion Volume) (2023)
Ayan Acharya, Siyuan Gao, Ankan Saha, Borja Ocejo, Kinjal Basu, Sathiya Keerthi Selvaraj, Rahul Mazumder, Aman Gupta, Parag Agrawal
Optimizing for Member Value in an Edge Building Marketplace. CIKM (2023)
Sai Charan Emmadi, Satya Samudrala, Parag Agrawal, Maitreya Natu
Simplifying Process Navigations - Divide and Rule way. ICDM (Workshops) (2022)
Parag Agrawal, Priyadarshi, Vikrant Shimpi, Neha Behl, Deepa Vaidyanathan, Maitreya Natu
Prediction Diagnostics - Addressing data veracity in predicting batch processes. ICDM (Workshops) (2021)
Parag Agrawal, Tulasi Menon, Aya Kamel, Michel Naim, Chaikesh Chouragade, Gurvinder Singh, Rohan Kulkarni, Anshuman Suri, Sahithi Katakam, Vineet Pratik, Prakul Bansal, Simerpreet Kaur, Neha Rajput, Anand Duggal, Achraf Chalabi, Prashant Choudhari, Reddy Satti, Niranjan Nayak
QnAMaker: Data to Bot in 2 Minutes. CoRR (2020)
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
QnAMaker: Data to Bot in 2 Minutes. WWW (Companion Volume) (2020)
Swarup Ranjan Behera, Parag Agrawal, Amit Awekar, Vijaya Saradhi Vedula
Mining Strengths and Weaknesses of Cricket Players Using Short Text Commentary. ICMLA (2019)
Parag Agrawal, Anshuman Suri
NELEC at SemEval-2019 Task 3: Think Twice Before Going Deep. SemEval@NAACL-HLT (2019)
Parag Agrawal, Anshuman Suri
NELEC at SemEval-2019 Task 3: Think Twice Before Going Deep. CoRR (2019)
Parag Agrawal, Anshuman Suri, Tulasi Menon
A Trustworthy, Responsible and Interpretable System to Handle Chit Chat in Conversational Bots. CoRR (2018)
Abhay Prakash, Parag Agrawal, Kedhar Nath Narahari, Puneet Agrawal
Mining Unusual Search Behavior Related to Physical Events. WWW (Companion Volume) (2017)
Kareem El Gebaly, Parag Agrawal, Lukasz Golab, Flip Korn, Divesh Srivastava
Interpretable and Informative Explanations of Outcomes. Proc. VLDB Endow. 8 (1) (2014)
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
The case for RAMCloud. Commun. ACM 54 (7) (2011)
Parag Agrawal, Anish Das Sarma, Jeffrey D. Ullman, Jennifer Widom
Foundations of Uncertain-Data Integration. Proc. VLDB Endow. 3 (1) (2010)
Parag Agrawal, Jennifer Widom
Generalized Uncertain Databases: First Steps. MUD (2010)
Parag Agrawal, Arvind Arasu, Raghav Kaushik
On indexing error-tolerant set containment. SIGMOD Conference (2010)
Parag Agrawal, Adam Silberstein, Brian F. Cooper, Utkarsh Srivastava, Raghu Ramakrishnan
Asynchronous view maintenance for VLSD databases. SIGMOD Conference (2009)
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
The case for RAMClouds: scalable high-performance storage entirely in DRAM. ACM SIGOPS Oper. Syst. Rev. 43 (4) (2009)
Parag Agrawal, Jennifer Widom
Continuous Uncertainty in Trio. MUD (2009)
Parag Agrawal, Jennifer Widom
Confidence-Aware Join Algorithms. ICDE (2009)
Parag Agrawal, Daniel Kifer, Christopher Olston
Scheduling shared scans of large data files. Proc. VLDB Endow. 1 (1) (2008)
Anish Das Sarma, Parag Agrawal, Shubha U. Nabar, Jennifer Widom
Towards Special-Purpose Indexes and Statistics for Uncertain Data. QDB/MUD (2008)
Michi Mutsuzaki, Martin Theobald, Ander de Keijzer, Jennifer Widom, Parag Agrawal, Omar Benjelloun, Anish Das Sarma, Raghotham Murthy, Tomoe Sugihara
Trio-One: Layering Uncertainty and Lineage on a Conventional DBMS (Demo). CIDR (2007)
Parag Agrawal, Omar Benjelloun, Anish Das Sarma, Chris Hayworth, Shubha U. Nabar, Tomoe Sugihara, Jennifer Widom
Trio: A System for Data, Uncertainty, and Lineage. VLDB (2006)