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ORCIDAditya G. Parameswaran
Person information
- affiliation: University of California, Berkeley, USA
- affiliation (former): University of Illinois, USA
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2020 – today
- 2022
[j55]Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya G. Parameswaran
:
Expressive querying for accelerating visual analytics. Commun. ACM 65(7): 85-94 (2022)- [j54]Will Epperson, Doris Jung Lin Lee, Leijie Wang, Kunal Agarwal, Aditya G. Parameswaran, Dominik Moritz, Adam Perer:
Leveraging Analysis History for Improved In Situ Visualization Recommendation. Comput. Graph. Forum 41(3): 145-155 (2022) - [j53]Shreya Shankar, Aditya G. Parameswaran:
Towards Observability for Production Machine Learning Pipelines [Vision]. Proc. VLDB Endow. 15(13): 4015-4022 (2022) - [j52]Shreya Shankar, Stephen Macke, Sarah E. Chasins, Andrew Head, Aditya G. Parameswaran:
Bolt-on, Compact, and Rapid Program Slicing for Notebooks [Scalable Data Science]. Proc. VLDB Endow. 15(13): 4038-4047 (2022) - [j51]Doris Jung Lin Lee, Vidya Setlur, Melanie Tory, Karrie Karahalios, Aditya G. Parameswaran:
Deconstructing Categorization in Visualization Recommendation: A Taxonomy and Comparative Study. IEEE Trans. Vis. Comput. Graph. 28(12): 4225-4239 (2022) - [c54]Shreya Shankar, Aditya G. Parameswaran:
Towards Observability for Machine Learning Pipelines. CIDR 2022 - [c53]Joseph M. Hellerstein, Aditya G. Parameswaran:
Piloting Data Engineering at Berkeley. DataEd@SIGMOD 2022: 38-43 - [i49]Sarah E. Chasins, Alvin Cheung, Natacha Crooks, Ali Ghodsi, Ken Goldberg, Joseph E. Gonzalez, Joseph M. Hellerstein, Michael I. Jordan, Anthony D. Joseph, Michael W. Mahoney, Aditya G. Parameswaran, David A. Patterson, Raluca Ada Popa, Koushik Sen, Scott Shenker, Dawn Song, Ion Stoica:
The Sky Above The Clouds. CoRR abs/2205.07147 (2022) - [i48]Shreya Shankar, Bernease Herman, Aditya G. Parameswaran:
Rethinking Streaming Machine Learning Evaluation. CoRR abs/2205.11473 (2022) - [i47]Shreya Shankar, Rolando Garcia, Joseph M. Hellerstein, Aditya G. Parameswaran:
Operationalizing Machine Learning: An Interview Study. CoRR abs/2209.09125 (2022) - 2021
- [j50]Doris Xin, Devin Petersohn, Dixin Tang, Yifan Wu, Joseph E. Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran:
Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time. IEEE Data Eng. Bull. 44(1): 66-78 (2021) - [j49]Sajjadur Rahman, Mangesh Bendre, Yuyang Liu, Shichu Zhu, Zhaoyuan Su, Karrie Karahalios, Aditya G. Parameswaran:
NOAH: Interactive Spreadsheet Exploration with Dynamic Hierarchical Overviews. Proc. VLDB Endow. 14(6): 970-983 (2021) - [j48]Stephen Macke, Aditya G. Parameswaran, Hongpu Gong, Doris Jung Lin Lee, Doris Xin, Andrew Head:
Fine-Grained Lineage for Safer Notebook Interactions. Proc. VLDB Endow. 14(6): 1093-1101 (2021) - [j47]Doris Jung Lin Lee, Dixin Tang, Kunal Agarwal, Thyne Boonmark, Caitlyn Chen, Jake Kang, Ujjaini Mukhopadhyay, Jerry Song, Micah Yong, Marti A. Hearst, Aditya G. Parameswaran:
Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows. Proc. VLDB Endow. 15(3): 727-738 (2021) - [j46]Devin Petersohn, Dixin Tang, Rehan Sohail Durrani, Areg Melik-Adamyan, Joseph Gonzalez, Anthony D. Joseph, Aditya G. Parameswaran:
Flexible Rule-Based Decomposition and Metadata Independence in Modin: A Parallel Dataframe System. Proc. VLDB Endow. 15(3): 739-751 (2021) - [j45]Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya G. Parameswaran:
From Sketching to Natural Language: Expressive Visual Querying for Accelerating Insight. SIGMOD Rec. 50(1): 51-58 (2021) - [c52]Doris Xin, Eva Yiwei Wu, Doris Jung Lin Lee, Niloufar Salehi, Aditya G. Parameswaran:
Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows. CHI 2021: 83:1-83:16 - [c51]Stephen Macke, Maryam Aliakbarpour, Ilias Diakonikolas, Aditya G. Parameswaran, Ronitt Rubinfeld:
Rapid Approximate Aggregation with Distribution-Sensitive Interval Guarantees. ICDE 2021: 1703-1714 - [c50]Doris Xin, Hui Miao, Aditya G. Parameswaran, Neoklis Polyzotis:
Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities. SIGMOD Conference 2021: 2639-2652 - [i46]Doris Xin, Eva Yiwei Wu, Doris Jung Lin Lee, Niloufar Salehi, Aditya G. Parameswaran:
Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows. CoRR abs/2101.04834 (2021) - [i45]Doris Jung Lin Lee, Vidya Setlur, Melanie Tory, Karrie Karahalios, Aditya G. Parameswaran:
Deconstructing Categorization in Visualization Recommendation: A Taxonomy and Comparative Study. CoRR abs/2102.07070 (2021) - [i44]Doris Xin, Devin Petersohn, Dixin Tang, Yifan Wu, Joseph E. Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran:
Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time. CoRR abs/2103.02145 (2021) - [i43]Doris Xin, Hui Miao, Aditya G. Parameswaran, Neoklis Polyzotis:
Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities. CoRR abs/2103.16007 (2021) - [i42]Doris Jung Lin Lee, Dixin Tang, Kunal Agarwal, Thyne Boonmark, Caitlyn Chen, Jake Kang, Ujjaini Mukhopadhyay, Jerry Song, Micah Yong, Marti A. Hearst, Aditya G. Parameswaran:
Lux: Always-on Visualization Recommendations for Exploratory Data Science. CoRR abs/2105.00121 (2021) - [i41]Shreya Shankar, Aditya G. Parameswaran:
Towards Observability for Machine Learning Pipelines. CoRR abs/2108.13557 (2021) - 2020
- [j44]Silu Huang, Charles Blatti, Saurabh Sinha, Aditya G. Parameswaran:
Uncovering Effective Explanations for Interactive Genomic Data Analysis. Patterns 1(6): 100093 (2020) - [j43]Doris Jung Lin Lee, Tarique Siddiqui, Karrie Karahalios, Aditya G. Parameswaran:
Three Lessons from Accelerating Scientific Insight Discovery via Visual Querying. Patterns 1(7): 100126 (2020) - [j42]Devin Petersohn, William W. Ma, Doris Jung Lin Lee, Stephen Macke, Doris Xin, Xiangxi Mo, Joseph Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran:
Towards Scalable Dataframe Systems. Proc. VLDB Endow. 13(11): 2033-2046 (2020) - [j41]Doris Jung Lin Lee, John Lee, Tarique Siddiqui, Jaewoo Kim, Karrie Karahalios, Aditya G. Parameswaran:
You can't always sketch what you want: Understanding Sensemaking in Visual Query Systems. IEEE Trans. Vis. Comput. Graph. 26(1): 1267-1277 (2020) - [j40]Silu Huang, Liqi Xu, Jialin Liu, Aaron J. Elmore, Aditya G. Parameswaran:
$\varvec{\textsc {Orpheus}}$DB: bolt-on versioning for relational databases (extended version). VLDB J. 29(1): 509-538 (2020) - [c49]Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya G. Parameswaran:
ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines. SIGMOD Conference 2020: 51-65 - [c48]Sajjadur Rahman, Kelly Mack, Mangesh Bendre, Ruilin Zhang, Karrie Karahalios, Aditya G. Parameswaran:
Benchmarking Spreadsheet Systems. SIGMOD Conference 2020: 1589-1599 - [c47]Aditya G. Parameswaran:
Democratizing Data Science and Lessons Learned Along the Way. PhD@VLDB 2020 - [i40]Devin Petersohn, William W. Ma, Doris Jung Lin Lee, Stephen Macke, Doris Xin, Xiangxi Mo, Joseph E. Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran:
Towards Scalable Dataframe Systems. CoRR abs/2001.00888 (2020) - [i39]Angela Lee, Doris Xin, Doris Lee, Aditya G. Parameswaran:
Demystifying a Dark Art: Understanding Real-World Machine Learning Model Development. CoRR abs/2005.01520 (2020) - [i38]Stephen Macke, Maryam Aliakbarpour, Ilias Diakonikolas, Aditya G. Parameswaran, Ronitt Rubinfeld:
Rapid Approximate Aggregation with Distribution-Sensitive Interval Guarantees. CoRR abs/2008.03891 (2020) - [i37]Stephen Macke, Hongpu Gong, Doris Jung Lin Lee, Andrew Head, Doris Xin, Aditya G. Parameswaran:
Fine-Grained Lineage for Safer Notebook Interactions. CoRR abs/2012.06981 (2020)
2010 – 2019
- 2019
- [j39]Chi-Hsien (Eric) Yen, Aditya G. Parameswaran, Wai-Tat Fu:
An Exploratory User Study of Visual Causality Analysis. Comput. Graph. Forum 38(3): 173-184 (2019) - [j38]Doris Jung Lin Lee, Stephen Macke, Doris Xin, Angela Lee, Silu Huang, Aditya G. Parameswaran:
A Human-in-the-loop Perspective on AutoML: Milestones and the Road Ahead. IEEE Data Eng. Bull. 42(2): 59-70 (2019) - [j37]Aditya G. Parameswaran:
Enabling Data Science for the Majority. Proc. VLDB Endow. 12(12): 2309-2322 (2019) - [j36]Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran:
Interactive Data Exploration with Smart Drill-Down. IEEE Trans. Knowl. Data Eng. 31(1): 46-60 (2019) - [c46]Theodoros Rekatsinas, Amol Deshpande, Aditya G. Parameswaran:
CRUX: Adaptive Querying for Efficient Crowdsourced Data Extraction. CIKM 2019: 841-850 - [c45]Mangesh Bendre, Tana Wattanawaroon, Sajjadur Rahman, Kelly Mack, Yuyang Liu, Shichu Zhu, Yu Lu, Ping-Jing Yang, Xinyan Zhou, Kevin Chen-Chuan Chang, Karrie Karahalios, Aditya G. Parameswaran:
Faster, Higher, Stronger: Redesigning Spreadsheets for Scale. ICDE 2019: 1972-1975 - [c44]Doris Jung Lin Lee, Himel Dev, Huizi Hu, Hazem Elmeleegy, Aditya G. Parameswaran:
Avoiding drill-down fallacies with VisPilot: assisted exploration of data subsets. IUI 2019: 186-196 - [c43]Mangesh Bendre, Tana Wattanawaroon, Kelly Mack, Kevin Chang, Aditya G. Parameswaran:
Anti-Freeze for Large and Complex Spreadsheets: Asynchronous Formula Computation. SIGMOD Conference 2019: 1277-1294 - [i36]Doris Jung Lin Lee, Jaewoo Kim, Renxuan Wang, Aditya G. Parameswaran:
SCATTERSEARCH: Visual Querying of Scatterplot Visualizations. CoRR abs/1907.11743 (2019) - 2018
- [j35]Doris Jung Lin Lee, Aditya G. Parameswaran:
The Case for a Visual Discovery Assistant: A Holistic Solution for Accelerating Visual Data Exploration. IEEE Data Eng. Bull. 41(3): 3-14 (2018) - [j34]Stephen Macke, Yiming Zhang, Silu Huang, Aditya G. Parameswaran:
Adaptive Sampling for Rapidly Matching Histograms. Proc. VLDB Endow. 11(10): 1262-1275 (2018) - [j33]Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran:
Helix: Accelerating Human-in-the-loop Machine Learning. Proc. VLDB Endow. 11(12): 1958-1961 (2018) - [j32]Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya G. Parameswaran:
ShapeSearch: Flexible Pattern-based Querying of Trend Line Visualizations. Proc. VLDB Endow. 11(12): 1962-1965 (2018) - [j31]Doris Xin, Stephen Macke, Litian Ma, Jialin Liu, Shuchen Song, Aditya G. Parameswaran:
Helix: Holistic Optimization for Accelerating Iterative Machine Learning. Proc. VLDB Endow. 12(4): 446-460 (2018) - [c42]Kelly Mack, John Lee, Kevin Chen-Chuan Chang, Karrie Karahalios, Aditya G. Parameswaran:
Characterizing Scalability Issues in Spreadsheet Software using Online Forums. CHI Extended Abstracts 2018 - [c41]Shreya Rajpal, Aditya G. Parameswaran:
Holistic Crowd-Powered Sorting via AID: Optimizing for Accuracies, Inconsistencies, and Difficulties. CIKM 2018: 1607-1610 - [c40]Doris Jung Lin Lee, Akash Das Sarma, Aditya G. Parameswaran:
Aggregating Crowdsourced Image Segmentations. HCOMP (WIP&Demo) 2018 - [c39]Mangesh Bendre, Vipul Venkataraman, Xinyan Zhou, Kevin Chen-Chuan Chang, Aditya G. Parameswaran:
Towards a Holistic Integration of Spreadsheets with Databases: A Scalable Storage Engine for Presentational Data Management. ICDE 2018: 113-124 - [c38]Albert Kim, Liqi Xu, Tarique Siddiqui, Silu Huang, Samuel Madden, Aditya G. Parameswaran:
Optimally Leveraging Density and Locality for Exploratory Browsing and Sampling. HILDA@SIGMOD 2018: 7:1-7:7 - [c37]Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran:
Accelerating Human-in-the-loop Machine Learning: Challenges and Opportunities. DEEM@SIGMOD 2018: 9:1-9:4 - [c36]Yihan Gao, Silu Huang, Aditya G. Parameswaran:
Navigating the Data Lake with DATAMARAN: Automatically Extracting Structure from Log Datasets. SIGMOD Conference 2018: 943-958 - [c35]Günce Su Yilmaz, Tana Wattanawaroon, Liqi Xu, Abhishek Nigam, Aaron J. Elmore, Aditya G. Parameswaran:
DataDiff: User-Interpretable Data Transformation Summaries for Collaborative Data Analysis. SIGMOD Conference 2018: 1769-1772 - [i35]Kelly Mack, John Lee, Kevin Chen-Chuan Chang, Karrie Karahalios, Aditya G. Parameswaran:
Characterizing Scalability Issues in Spreadsheet Software using Online Forums. CoRR abs/1801.03829 (2018) - [i34]Tana Wattanawaroon, Stephen Macke, Aditya G. Parameswaran:
Towards a Theory of Data-Diff: Optimal Synthesis of Succinct Data Modification Scripts. CoRR abs/1801.06258 (2018) - [i33]Yihan Gao, Chao Zhang, Jian Peng, Aditya G. Parameswaran:
Low-Norm Graph Embedding. CoRR abs/1802.03560 (2018) - [i32]Doris Xin, Litian Ma, Shuchen Song, Aditya G. Parameswaran:
How Developers Iterate on Machine Learning Workflows - A Survey of the Applied Machine Learning Literature. CoRR abs/1803.10311 (2018) - [i31]Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran:
Accelerating Human-in-the-loop Machine Learning: Challenges and Opportunities. CoRR abs/1804.05892 (2018) - [i30]Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran:
Helix: Accelerating Human-in-the-loop Machine Learning. CoRR abs/1808.01095 (2018) - [i29]Tarique Siddiqui, Zesheng Wang, Paul Luh, Karrie Karahalios, Aditya G. Parameswaran:
ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines. CoRR abs/1811.07977 (2018) - [i28]Doris Xin, Stephen Macke, Litian Ma, Jialin Liu, Shuchen Song, Aditya G. Parameswaran:
Helix: Holistic Optimization for Accelerating Iterative Machine Learning. CoRR abs/1812.05762 (2018) - [i27]Aditya G. Parameswaran, Dibyendu Mishra, Sanchit Bansal, Vinayak Agarwal, Anjali Goyal, Ashish Sureka:
Automatic email response suggestion for support departments within a university. PeerJ Prepr. 6: e26531 (2018) - 2017
- [j30]Aditya G. Parameswaran:
Letter from the 2017 IEEE TCDE Early Career Award Winner. IEEE Data Eng. Bull. 40(3): 4 (2017) - [j29]Ayush Jain, Akash Das Sarma, Aditya G. Parameswaran, Jennifer Widom:
Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace. Proc. VLDB Endow. 10(7): 829-840 (2017) - [j28]Silu Huang, Liqi Xu, Jialin Liu, Aaron J. Elmore, Aditya G. Parameswaran:
OrpheusDB: Bolt-on Versioning for Relational Databases. Proc. VLDB Endow. 10(10): 1130-1141 (2017) - [j27]Sajjadur Rahman, Maryam Aliakbarpour, Hidy Kong, Eric Blais, Karrie Karahalios, Aditya G. Parameswaran, Ronitt Rubinfeld:
I've Seen "Enough": Incrementally Improving Visualizations to Support Rapid Decision Making. Proc. VLDB Endow. 10(11): 1262-1273 (2017) - [c34]Yihan Gao, Aditya G. Parameswaran, Jian Peng:
On the Interpretability of Conditional Probability Estimates in the Agnostic Setting. AISTATS 2017: 1367-1374 - [c33]Tarique Siddiqui, John Lee, Albert Kim, Edward Xue, Xiaofo Yu, Sean Zou, Lijin Guo, Changfeng Liu, Chaoran Wang, Karrie Karahalios, Aditya G. Parameswaran:
Fast-Forwarding to Desired Visualizations with Zenvisage. CIDR 2017 - [c32]Theodoros Rekatsinas, Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran, Christopher Ré:
SLiMFast: Guaranteed Results for Data Fusion and Source Reliability. SIGMOD Conference 2017: 1399-1414 - [c31]Liqi Xu, Silu Huang, SiLi Hui, Aaron J. Elmore, Aditya G. Parameswaran:
OrpheusDB: A Lightweight Approach to Relational Dataset Versioning. SIGMOD Conference 2017: 1655-1658 - [e1]Carsten Binnig, Joseph M. Hellerstein, Aditya G. Parameswaran:
Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, HILDA@SIGMOD 2017, Chicago, IL, USA, May 14, 2017. ACM 2017, ISBN 978-1-4503-5029-7 [contents] - [i26]Ayush Jain, Akash Das Sarma, Aditya G. Parameswaran, Jennifer Widom:
Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace. CoRR abs/1701.06207 (2017) - [i25]Silu Huang, Liqi Xu, Jialin Liu, Aaron J. Elmore, Aditya G. Parameswaran:
OrpheusDB: Bolt-on Versioning for Relational Databases. CoRR abs/1703.02475 (2017) - [i24]Stephen Macke, Yiming Zhang, Silu Huang, Aditya G. Parameswaran:
Adaptive Sampling for Rapidly Matching Histograms. CoRR abs/1708.05918 (2017) - [i23]Mangesh Bendre, Vipul Venkataraman, Xinyan Zhou, Kevin Chen-Chuan Chang, Aditya G. Parameswaran:
Towards a Holistic Integration of Spreadsheets with Databases: A Scalable Storage Engine for Presentational Data Management. CoRR abs/1708.06712 (2017) - [i22]Yihan Gao, Silu Huang, Aditya G. Parameswaran:
Navigating the Data Lake with Datamaran: Automatically Extracting Structure from Log Datasets. CoRR abs/1708.08905 (2017) - [i21]Doris Jung Lin Lee, John Lee, Tarique Siddiqui, Jaewoo Kim, Karrie Karahalios, Aditya G. Parameswaran:
Accelerating Scientific Data Exploration via Visual Query Systems. CoRR abs/1710.00763 (2017) - 2016
- [j26]Aditya G. Parameswaran, Akash Das Sarma, Vipul Venkataraman:
Optimizing Open-Ended Crowdsourcing: The Next Frontier in Crowdsourced Data Management. IEEE Data Eng. Bull. 39(4): 26-37 (2016) - [j25]Michael Maddox, David Goehring, Aaron J. Elmore, Samuel Madden, Aditya G. Parameswaran, Amol Deshpande:
Decibel: The Relational Dataset Branching System. Proc. VLDB Endow. 9(9): 624-635 (2016) - [j24]Tarique Siddiqui, Albert Kim, John Lee, Karrie Karahalios, Aditya G. Parameswaran:
Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System. Proc. VLDB Endow. 10(4): 457-468 (2016) - [j23]Manasi Vartak, Silu Huang, Tarique Siddiqui, Samuel Madden, Aditya G. Parameswaran:
Towards Visualization Recommendation Systems. SIGMOD Rec. 45(4): 34-39 (2016) - [j22]Hector Garcia-Molina, Manas Joglekar, Adam Marcus, Aditya G. Parameswaran, Vasilis Verroios:
Challenges in Data Crowdsourcing. IEEE Trans. Knowl. Data Eng. 28(4): 901-911 (2016) - [c30]Tarique Siddiqui, Xiang Ren, Aditya G. Parameswaran, Jiawei Han:
FacetGist: Collective Extraction of Document Facets in Large Technical Corpora. CIKM 2016: 871-880 - [c29]Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran:
Interactive data exploration with smart drill-down. ICDE 2016: 906-917 - [c28]Yihan Gao, Aditya G. Parameswaran:
Squish: Near-Optimal Compression for Archival of Relational Datasets. KDD 2016: 1575-1584 - [c27]Akash Das Sarma, Aditya G. Parameswaran, Jennifer Widom:
Towards Globally Optimal Crowdsourcing Quality Management: The Uniform Worker Setting. SIGMOD Conference 2016: 47-62 - [i20]Ayush Jain, Joon Young Seo, Karan Goel, Andrew Kuznetsov, Aditya G. Parameswaran, Hari Sundaram:
It's just a matter of perspective(s): Crowd-Powered Consensus Organization of Corpora. CoRR abs/1601.02034 (2016) - [i19]Yihan Gao, Aditya G. Parameswaran:
Squish: Near-Optimal Compression for Archival of Relational Datasets. CoRR abs/1602.04256 (2016) - [i18]Tarique Siddiqui, Albert Kim, John Lee, Karrie Karahalios, Aditya G. Parameswaran:
zenvisage: Effortless Visual Data Exploration. CoRR abs/1604.03583 (2016) - [i17]Aditya G. Parameswaran, Akash Das Sarma, Vipul Venkataraman:
Optimizing Open-Ended Crowdsourcing: The Next Frontier in Crowdsourced Data Management. CoRR abs/1610.05377 (2016) - [i16]Albert Kim, Liqi Xu, Tarique Siddiqui, Silu Huang, Samuel Madden, Aditya G. Parameswaran:
Speedy Browsing and Sampling with NeedleTail. CoRR abs/1611.04705 (2016) - 2015
- [j21]Adam Marcus, Aditya G. Parameswaran:
Crowdsourced Data Management: Industry and Academic Perspectives. Found. Trends Databases 6(1-2): 1-161 (2015) - [j20]Albert Kim, Eric Blais, Aditya G. Parameswaran, Piotr Indyk, Samuel Madden, Ronitt Rubinfeld:
Rapid Sampling for Visualizations with Ordering Guarantees. Proc. VLDB Endow. 8(5): 521-532 (2015) - [j19]Souvik Bhattacherjee, Amit Chavan, Silu Huang, Amol Deshpande, Aditya G. Parameswaran:
Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff. Proc. VLDB Endow. 8(12): 1346-1357 (2015) - [j18]Anant P. Bhardwaj, Amol Deshpande, Aaron J. Elmore, David R. Karger, Sam Madden, Aditya G. Parameswaran, Harihar Subramanyam, Eugene Wu, Rebecca Zhang:
Collaborative Data Analytics with DataHub. Proc. VLDB Endow. 8(12): 1916-1919 (2015) - [j17]Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran:
Smart Drill-Down: A New Data Exploration Operator. Proc. VLDB Endow. 8(12): 1928-1931 (2015) - [j16]Mangesh Bendre, Bofan Sun, Ding Zhang, Xinyan Zhou, Kevin Chen-Chuan Chang, Aditya G. Parameswaran:
DATASPREAD: Unifying Databases and Spreadsheets. Proc. VLDB Endow. 8(12): 2000-2003 (2015) - [j15]Manasi Vartak, Sajjadur Rahman, Samuel Madden, Aditya G. Parameswaran, Neoklis Polyzotis:
SEEDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics. Proc. VLDB Endow. 8(13): 2182-2193 (2015) - [c26]Anant P. Bhardwaj, Souvik Bhattacherjee, Amit Chavan, Amol Deshpande, Aaron J. Elmore, Samuel Madden, Aditya G. Parameswaran:
DataHub: Collaborative Data Science & Dataset Version Management at Scale. CIDR 2015 - [c25]Akash Das Sarma, Ayush Jain, Arnab Nandi, Aditya G. Parameswaran, Jennifer Widom:
Surpassing Humans and Computers with JELLYBEAN: Crowd-Vision-Hybrid Counting Algorithms. HCOMP 2015: 178-187 - [c24]Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran:
Comprehensive and reliable crowd assessment algorithms. ICDE 2015: 195-206 - [c23]Honglei Zhuang, Aditya G. Parameswaran, Dan Roth, Jiawei Han:
Debiasing Crowdsourced Batches. KDD 2015: 1593-1602 - [c22]Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran, Christopher Ré:
Exploiting Correlations for Expensive Predicate Evaluation. SIGMOD Conference 2015: 1183-1198 - [c21]Amit Chavan, Silu Huang, Amol Deshpande, Aaron J. Elmore, Samuel Madden, Aditya G. Parameswaran:
Towards a Unified Query Language for Provenance and Versioning. TaPP 2015 - [c20]Kiumars Soltani, Aditya G. Parameswaran, Shaowen Wang:
GeoHashViz: interactive analytics for mapping spatiotemporal diffusion of Twitter hashtags. XSEDE 2015: 37:1-37:2 - [i15]Theodoros Rekatsinas, Amol Deshpande, Aditya G. Parameswaran:
CrowdGather: Entity Extraction over Structured Domains. CoRR abs/1502.06823 (2015) - [i14]Akash Das Sarma, Aditya G. Parameswaran, Jennifer Widom:
Globally Optimal Crowdsourcing Quality Management: Full technical report. CoRR abs/1502.07710 (2015) - [i13]Souvik Bhattacherjee, Amit Chavan, Silu Huang, Amol Deshpande, Aditya G. Parameswaran:
Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff. CoRR abs/1505.05211 (2015) - [i12]Yihan Gao, Aditya G. Parameswaran:
On the Uniform Convergence of Consistent Confidence Measures. CoRR abs/1506.03018 (2015) - [i11]Amit Chavan, Silu Huang, Amol Deshpande, Aaron J. Elmore, Samuel Madden, Aditya G. Parameswaran:
Towards a unified query language for provenance and versioning. CoRR abs/1506.04815 (2015) - [i10]Manas Joglekar, Theodoros Rekatsinas, Hector Garcia-Molina, Aditya G. Parameswaran, Christopher Ré:
Exploiting Features for Data Source Quality Estimation. CoRR abs/1512.06474 (2015) - 2014
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