Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDAditya G. Parameswaran
Person information
- affiliation: University of California, Berkeley, USA
- affiliation (former): University of Illinois
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2021
[j47]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)- [j46]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) - [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 - [i45]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) - [i44]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) - [i43]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) - [i42]Doris Xin, Hui Miao, Aditya G. Parameswaran, Neoklis Polyzotis:
Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities. CoRR abs/2103.16007 (2021) - [i41]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) - 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 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
- [j14]Aditya G. Parameswaran, Stephen P. Boyd, Hector Garcia-Molina, Ashish Gupta, Neoklis Polyzotis, Jennifer Widom:
Optimal Crowd-Powered Rating and Filtering Algorithms. Proc. VLDB Endow. 7(9): 685-696 (2014) - [j13]Manasi Vartak, Samuel Madden, Aditya G. Parameswaran, Neoklis Polyzotis:
SEEDB: Automatically Generating Query Visualizations. Proc. VLDB Endow. 7(13): 1581-1584 (2014) - [j12]Yihan Gao, Aditya G. Parameswaran:
Finish Them!: Pricing Algorithms for Human Computation. Proc. VLDB Endow. 7(14): 1965-1976 (2014) - [c19]Akash Das Sarma, Aditya G. Parameswaran, Jennifer Widom:
Optimal Worker Quality and Answer Estimates in Crowd-Powered Filtering and Rating. HCOMP 2014 - [c18]Anish Das Sarma, Aditya G. Parameswaran, Hector Garcia-Molina, Alon Y. Halevy:
Crowd-powered find algorithms. ICDE 2014: 964-975 - [c17]Aditya G. Parameswaran, Ming Han Teh, Hector Garcia-Molina, Jennifer Widom:
DataSift: a crowd-powered search toolkit. SIGMOD Conference 2014: 885-888 - [i9]Leilani Battle, Edward Benson, Aditya G. Parameswaran, Eugene Wu:
Indexing Cost Sensitive Prediction. CoRR abs/1408.4072 (2014) - [i8]Yihan Gao, Aditya G. Parameswaran:
Finish Them!: Pricing Algorithms for Human Computation. CoRR abs/1408.6292 (2014) - [i7]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. CoRR abs/1409.0798 (2014) - [i6]Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran, Christopher Ré:
Exploiting Correlations for Expensive Predicate Evaluation. CoRR abs/1411.3374 (2014) - [i5]Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran:
Comprehensive and Reliable Crowd Assessment Algorithms. CoRR abs/1411.3377 (2014) - [i4]Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran:
Evaluating the Crowd with Confidence. CoRR abs/1411.6562 (2014) - [i3]Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran:
Smart Drill Down. CoRR abs/1412.0364 (2014) - [i2]Albert Kim, Eric Blais, Aditya G. Parameswaran, Piotr Indyk, Sam Madden, Ronitt Rubinfeld:
Rapid Sampling for Visualizations with Ordering Guarantees. CoRR abs/1412.3040 (2014) - 2013
- [j11]Kedar Bellare, Suresh Iyengar, Aditya G. Parameswaran, Vibhor Rastogi:
Active Sampling for Entity Matching with Guarantees. ACM Trans. Knowl. Discov. Data 7(3): 12:1-12:24 (2013) - [c16]Aditya G. Parameswaran, Raghav Kaushik, Arvind Arasu:
Efficient parsing-based search over structured data. CIKM 2013: 49-58 - [c15]Aditya G. Parameswaran, Ming Han Teh, Hector Garcia-Molina, Jennifer Widom:
DataSift: An Expressive and Accurate Crowd-Powered Search Toolkit. HCOMP 2013 - [c14]Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran:
Evaluating the crowd with confidence. KDD 2013: 686-694 - 2012
- [j10]Andrew Cron, Huy L. Nguyen, Aditya G. Parameswaran:
Big data. XRDS 19(1): 7-8 (2012) - [j9]Aditya G. Parameswaran:
An interview with Surajit Chaudhuri. XRDS 19(1): 38-39 (2012) - [j8]Hyunjung Park, Richard Pang, Aditya G. Parameswaran, Hector Garcia-Molina, Neoklis Polyzotis, Jennifer Widom:
Deco: A System for Declarative Crowdsourcing. Proc. VLDB Endow. 5(12): 1990-1993 (2012) - [j7]Hyunjung Park, Richard Pang, Aditya G. Parameswaran, Hector Garcia-Molina, Neoklis Polyzotis, Jennifer Widom:
An overview of the deco system: data model and query language; query processing and optimization. SIGMOD Rec. 41(4): 22-27 (2012) - [c13]Aditya G. Parameswaran, Hyunjung Park, Hector Garcia-Molina, Neoklis Polyzotis, Jennifer Widom:
Deco: declarative crowdsourcing. CIKM 2012: 1203-1212 - [c12]Foto N. Afrati, Anish Das Sarma, David Menestrina, Aditya G. Parameswaran, Jeffrey D. Ullman:
Fuzzy Joins Using MapReduce. ICDE 2012: 498-509 - [c11]Kedar Bellare, Suresh Iyengar, Aditya G. Parameswaran, Vibhor Rastogi:
Active sampling for entity matching. KDD 2012: 1131-1139 - [c10]Nilesh N. Dalvi, Aditya G. Parameswaran, Vibhor Rastogi:
Minimizing Uncertainty in Pipelines. NIPS 2012: 2951-2959 - [c9]Aditya G. Parameswaran, Hector Garcia-Molina, Hyunjung Park, Neoklis Polyzotis, Aditya Ramesh, Jennifer Widom:
CrowdScreen: algorithms for filtering data with humans. SIGMOD Conference 2012: 361-372 - [c8]