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ORCIDLeilani Battle
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- affiliation: University of Washington, WA, USA
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2020 – today
- 2024
[j25]Zehua Zeng
, Leilani Battle:
A Systematic Review of Visualization Recommendation Systems: Goals, Strategies, Interfaces, and Evaluations. Found. Trends Databases 14(1): 1-71 (2024)- [j24]Deepthi Raghunandan, Zhe Cui, Kartik Krishnan, Segen Tirfe, Shenzhi Shi, Tejaswi Darshan Shrestha, Leilani Battle, Niklas Elmqvist:
Lodestar: Supporting rapid prototyping of data science workflows through data-driven analysis recommendations. Inf. Vis. 23(1): 21-39 (2024) - [j23]Junran Yang, Hyekang Kevin Joo, Sai S. Yerramreddy, Dominik Moritz, Leilani Battle:
Optimizing Dataflow Systems for Scalable Interactive Visualization. Proc. ACM Manag. Data 2(1): 21:1-21:25 (2024) - [j22]Zehua Zeng, Junran Yang, Dominik Moritz, Jeffrey Heer, Leilani Battle:
Too Many Cooks: Exploring How Graphical Perception Studies Influence Visualization Recommendations in Draco. IEEE Trans. Vis. Comput. Graph. 30(1): 1063-1073 (2024) - [j21]Leilani Battle, Alvitta Ottley:
What Do We Mean When We Say "Insight"? A Formal Synthesis of Existing Theory. IEEE Trans. Vis. Comput. Graph. 30(9): 6075-6088 (2024) - [c29]Sanad Saha, Nischal Aryal, Leilani Battle, Arash Termehchy:
User Learning In Interactive Data Exploration. ICDE 2024: 5660-5661 - [c28]Sanad Saha, Nischal Aryal, Leilani Battle, Arash Termehchy:
ShiftScope: Adapting Visualization Recommendations to Users' Dynamic Data Focus. SIGMOD Conference Companion 2024: 536-539 - [c27]Junran Yang, Andrew M. McNutt, Leilani Battle:
Considering Visualization Example Galleries. VL/HCC 2024: 329-343 - [i27]Junran Yang, Hyekang Kevin Joo, Sai S. Yerramreddy, Dominik Moritz, Leilani Battle:
Optimizing Dataflow Systems for Scalable Interactive Visualization. CoRR abs/2401.02952 (2024) - [i26]Melissa Lin, Heer Patel, Medina Lamkin, Tukey Tu, Hannah K. Bako, Soham Raut, Leilani Battle:
How do Observable Users Decompose D3 Code? An Exploratory Study. CoRR abs/2405.14341 (2024) - [i25]Junran Yang, Andrew M. McNutt, Leilani Battle:
Considering Visualization Example Galleries. CoRR abs/2407.20571 (2024) - [i24]Huichen Will Wang, Mitchell Gordon, Leilani Battle, Jeffrey Heer:
DracoGPT: Extracting Visualization Design Preferences from Large Language Models. CoRR abs/2408.06845 (2024) - 2023
- [j20]Deepthi Raghunandan, Niklas Elmqvist, Leilani Battle:
Measuring How Data Science Notebooks Evolve Over Time. Interactions 30(1): 17-18 (2023) - [j19]Zehua Zeng, Leilani Battle:
Using Graphical Perception in Visualization Recommendation. Interactions 30(3): 23-25 (2023) - [j18]Leilani Battle, Ameya Patil, Trevor A. Branch, Zoe Rand:
Visualizing Historical Whaling Voyages over Time. Interactions 30(5): 22-23 (2023) - [j17]Hannah K. Bako, Xinyi Liu, Leilani Battle, Zhicheng Liu:
Understanding how Designers Find and Use Data Visualization Examples. IEEE Trans. Vis. Comput. Graph. 29(1): 1048-1058 (2023) - [c26]Zehua Zeng, Leilani Battle:
A Review and Collation of Graphical Perception Knowledge for Visualization Recommendation. CHI 2023: 820:1-820:16 - [c25]Deepthi Raghunandan, Aayushi Roy, Shenzhi Shi, Niklas Elmqvist, Leilani Battle:
Code Code Evolution: Understanding How People Change Data Science Notebooks Over Time. CHI 2023: 863:1-863:12 - [c24]Hannah K. Bako, Alisha Varma, Anuoluwapo Faboro, Mahreen Haider, Favour Nerrise, Bissaka Kenah, John P. Dickerson, Leilani Battle:
User-Driven Support for Visualization Prototyping in D3. IUI 2023: 958-972 - [c23]Leilani Battle, Alvitta Ottley:
What Exactly is an Insight? A Literature Review. IEEE VIS (Short Papers) 2023: 91-95 - [c22]Ameya Patil, Zoe Rand, Trevor Branch, Leilani Battle:
WhaleVis: Visualizing the History of Commercial Whaling. IEEE VIS (Short Papers) 2023: 96-100 - [c21]Aayushi Roy, Deepthi Raghunandan, Niklas Elmqvist, Leilani Battle:
How I Met Your Data Science Team: A Tale of Effective Communication. VL/HCC 2023: 199-208 - [i23]Joanna Purich, Arjun Srinivasan, Michael Correll, Leilani Battle, Vidya Setlur, Anamaria Crisan:
Toward a Scalable Census of Dashboard Designs in the Wild: A Case Study with Tableau Public. CoRR abs/2306.16513 (2023) - [i22]Leilani Battle, Alvitta Ottley:
What Exactly is an Insight? A Literature Review. CoRR abs/2307.06551 (2023) - [i21]Ameya Patil, Zoe Rand, Trevor Branch, Leilani Battle:
WhaleVis: Visualizing the History of Commercial Whaling. CoRR abs/2308.04552 (2023) - [i20]Zehua Zeng, Junran Yang, Dominik Moritz, Jeffrey Heer, Leilani Battle:
Too Many Cooks: Exploring How Graphical Perception Studies Influence Visualization Recommendations in Draco. CoRR abs/2308.14241 (2023) - [i19]Sanad Saha, Nischal Aryal, Leilani Battle, Arash Termehchy:
How Does User Behavior Evolve During Exploratory Visual Analysis? CoRR abs/2312.09407 (2023) - 2022
- [j16]Sneha Gathani, Shayan Monadjemi, Alvitta Ottley, Leilani Battle:
A Grammar-Based Approach for Applying Visualization Taxonomies to Interaction Logs. Comput. Graph. Forum 41(3): 489-500 (2022) - [j15]Leilani Battle:
Letter from the Rising Star Award Winner. IEEE Data Eng. Bull. 45(3): 147-148 (2022) - [j14]Leilani Battle:
Analyzing online programming communities to enhance visualization languages. Interactions 29(1): 27-29 (2022) - [j13]Leilani Battle, Alvitta Ottley:
Testing theories of task in visual analytics. Interactions 29(3): 22-23 (2022) - [j12]Leilani Battle:
Behavior-driven testing of big data exploration tools. Interactions 29(5): 9-10 (2022) - [j11]Zehua Zeng, Phoebe Moh, Fan Du, Jane Hoffswell, Tak Yeon Lee, Sana Malik, Eunyee Koh, Leilani Battle:
An Evaluation-Focused Framework for Visualization Recommendation Algorithms. IEEE Trans. Vis. Comput. Graph. 28(1): 346-356 (2022) - [c20]Calvin S. Bao, Siyao Li, Sarah G. Flores, Michael Correll, Leilani Battle:
Recommendations for Visualization Recommendations: Exploring Preferences and Priorities in Public Health. CHI 2022: 411:1-411:17 - [c19]Wenbo Tao, Adam Sah, Leilani Battle, Remco Chang, Michael Stonebraker:
Kyrix-J: Visual Discovery of Connected Datasets in a Data Lake. CIDR 2022 - [c18]Junran Yang, Hyekang Kevin Joo, Sai S. Yerramreddy, Siyao Li, Dominik Moritz, Leilani Battle:
Demonstration of VegaPlus: Optimizing Declarative Visualization Languages. SIGMOD Conference 2022: 2425-2428 - [c17]Anastasia Ailamaki, Leilani Battle, Johannes Gehrke, Masaru Kitsuregawa, David Maier, Christopher Ré, Meihui Zhang, Magdalena Balazinska:
The DB Community vis-à-vis Environmental, Health, and Societal Grand Challenges: Innovation Engine, Plumber, or Bystander? SIGMOD Conference 2022: 2498-2500 - [c16]Dario Benvenuti, Giovanni Fiordeponti, Hao Cheng, Tiziana Catarci, Jean-Daniel Fekete, Giuseppe Santucci, Marco Angelini, Leilani Battle:
Toward an Interaction-Driven Framework for Modeling Big Data Visualization Systems. EuroVis (Posters) 2022: 79-81 - [c15]Leilani Battle, Danni Feng, Kelli Webber:
Exploring D3 Implementation Challenges on Stack Overflow. IEEE VIS (Short Papers) 2022: 1-5 - [c14]Hannah K. Bako, Alisha Varma, Anuoluwapo Faboro, Mahreen Haider, Favour Nerrise, Bissaka Kenah, Leilani Battle:
Streamlining Visualization Authoring in D3 Through User-Driven Templates. IEEE VIS (Short Papers) 2022: 16-20 - [i18]Sneha Gathani, Shayan Monadjemi, Alvitta Ottley, Leilani Battle:
A Programmatic Approach to Applying Visualization Taxonomies to Interaction Logs. CoRR abs/2201.03740 (2022) - [i17]Junran Yang, Hyekang Kevin Joo, Sai S. Yerramreddy, Siyao Li, Dominik Moritz, Leilani Battle:
Scalable Vega: Optimizing Declarative Visualization Languages. CoRR abs/2201.06742 (2022) - [i16]Calvin S. Bao, Siyao Li, Sarah G. Flores, Michael Correll, Leilani Battle:
Recommendations for Visualization Recommendations: Exploring Preferences and Priorities in Public Health. CoRR abs/2202.01335 (2022) - [i15]Joanna Purich, Hira Mahmood, Diana Chou, Chidi Udeze, Leilani Battle:
An Adaptive Benchmark for Modeling User Exploration of Large Datasets. CoRR abs/2203.15748 (2022) - [i14]Deepthi Raghunandan, Zhe Cui, Kartik Krishnan, Segen Tirfe, Shenzhi Shi, Tejaswi Darshan Shrestha, Leilani Battle, Niklas Elmqvist:
Lodestar: Supporting Independent Learning and Rapid Experimentation Through Data-Driven Analysis Recommendations. CoRR abs/2204.07876 (2022) - [i13]Leilani Battle, Alvitta Ottley:
A Programmatic Definition of Visualization Tasks, Insights, and Objectives. CoRR abs/2206.04767 (2022) - [i12]Hannah K. Bako, Alisha Varma, Anuoluwapo Faboro, Mahreen Haider, Favour Nerrise, Bissaka Kenah, Leilani Battle:
Streamlining Visualization Authoring in D3 Through User-Driven Templates. CoRR abs/2207.06554 (2022) - [i11]Deepthi Raghunandan, Aayushi Roy, Shenzhi Shi, Niklas Elmqvist, Leilani Battle:
Code Code Evolution: Understanding How People Change Data Science Notebooks Over Time. CoRR abs/2209.02851 (2022) - [i10]Rock Yuren Pang, Ruotong Wang, Joely Nelson, Leilani Battle:
How Do Data Science Workers Communicate Intermediate Results? CoRR abs/2210.03305 (2022) - 2021
- [j10]Wenbo Tao, Xinli Hou, Adam Sah, Leilani Battle, Remco Chang, Michael Stonebraker:
Kyrix-S: Authoring Scalable Scatterplot Visualizations of Big Data. IEEE Trans. Vis. Comput. Graph. 27(2): 401-411 (2021) - [j9]Leilani Battle, Carlos Scheidegger:
A Structured Review of Data Management Technology for Interactive Visualization and Analysis. IEEE Trans. Vis. Comput. Graph. 27(2): 1128-1138 (2021) - [c13]Rachael Zehrung, Astha Singhal, Michael Correll, Leilani Battle:
Vis Ex Machina: An Analysis of Trust in Human versus Algorithmically Generated Visualization Recommendations. CHI 2021: 602:1-602:12 - [i9]Rachael Zehrung, Astha Singhal, Michael Correll, Leilani Battle:
Vis Ex Machina: An Analysis of Trust in Human versus Algorithmically Generated Visualization Recommendations. CoRR abs/2101.04251 (2021) - [i8]Hyekang Joo, Calvin Bao, Ishan Sen, Furong Huang, Leilani Battle:
Guided Hyperparameter Tuning Through Visualization and Inference. CoRR abs/2105.11516 (2021) - [i7]Leilani Battle, Danni Feng, Kelli Webber:
Exploring Visualization Implementation Challenges Faced by D3 Users Online. CoRR abs/2108.02299 (2021) - [i6]Zehua Zeng, Minhui Xie, Matthew Gouzoulis, Leilani Battle:
Are We There Yet? A Review on Existing Perceptual Theory and Experiment Support for Visualization Recommendation Systems. CoRR abs/2109.01271 (2021) - [i5]Zehua Zeng, Phoebe Moh, Fan Du, Jane Hoffswell, Tak Yeon Lee, Sana Malik, Eunyee Koh, Leilani Battle:
An Evaluation-Focused Framework for Visualization Recommendation Algorithms. CoRR abs/2109.02706 (2021) - [i4]Hannah K. Bako, Alisha Varma, Anuoluwapo Faboro, Mahreen Haider, Favour Nerrise, John P. Dickerson, Leilani Battle:
User-Driven Programming Support for Rapid Visualization Authoring in D3. CoRR abs/2112.03179 (2021) - 2020
- [j8]Leilani Battle, R. Jordan Crouser, Audace Nakeshimana, Ananda Montoly, Remco Chang, Michael Stonebraker:
The Role of Latency and Task Complexity in Predicting Visual Search Behavior. IEEE Trans. Vis. Comput. Graph. 26(1): 1246-1255 (2020) - [c12]Sneha Gathani, Peter Lim, Leilani Battle:
Debugging Database Queries: A Survey of Tools, Techniques, and Users. CHI 2020: 1-16 - [c11]Leilani Battle, Philipp Eichmann, Marco Angelini, Tiziana Catarci, Giuseppe Santucci, Yukun Zheng, Carsten Binnig, Jean-Daniel Fekete, Dominik Moritz:
Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data. SIGMOD Conference 2020: 1571-1587 - [i3]Wenbo Tao, Xinli Hou, Adam Sah, Leilani Battle, Remco Chang, Michael Stonebraker:
Kyrix-S: Authoring Scalable Scatterplot Visualizations of Big Data. CoRR abs/2007.15904 (2020)
2010 – 2019
- 2019
- [j7]Christian Bors, John E. Wenskovitch, Michelle Dowling, Simon Attfield, Leilani Battle, Alex Endert, Olga Kulyk, Robert S. Laramee:
A Provenance Task Abstraction Framework. IEEE Computer Graphics and Applications 39(6): 46-60 (2019) - [j6]Leilani Battle, Jeffrey Heer:
Characterizing Exploratory Visual Analysis: A Literature Review and Evaluation of Analytic Provenance in Tableau. Comput. Graph. Forum 38(3): 145-159 (2019) - [j5]Wenbo Tao, Xiaoyu Liu, Yedi Wang, Leilani Battle, Çagatay Demiralp, Remco Chang, Michael Stonebraker:
Kyrix: Interactive Pan/Zoom Visualizations at Scale. Comput. Graph. Forum 38(3): 529-540 (2019) - [j4]Lei Cao, Wenbo Tao, Sungtae An, Jing Jin, Yizhou Yan, Xiaoyu Liu, Wendong Ge, Adam Sah, Leilani Battle, Jimeng Sun, Remco Chang, M. Brandon Westover, Samuel Madden, Michael Stonebraker:
Smile: A System to Support Machine Learning on EEG Data at Scale. Proc. VLDB Endow. 12(12): 2230-2241 (2019) - [c10]Leilani Battle, Surajit Chaudhuri, Arnab Nandi:
International Workshop on Human-In-the-Loop Data Analytics (HILDA). SIGMOD Conference 2019: 2072 - 2018
- [c9]Leilani Battle, Peitong Duan, Zachery Miranda, Dana Mukusheva, Remco Chang, Michael Stonebraker:
Beagle: Automated Extraction and Interpretation of Visualizations from the Web. CHI 2018: 594 - [c8]Leilani Battle, Marco Angelini, Carsten Binnig, Tiziana Catarci, Philipp Eichmann, Jean-Daniel Fekete, Giuseppe Santucci, Michael Sedlmair, Wesley Willett:
Evaluating Visual Data Analysis Systems: A Discussion Report. HILDA@SIGMOD 2018: 4:1-4:6 - 2017
- [b1]Leilani Battle:
Behavior-driven optimization techniques for scalable data exploration. Massachusetts Institute of Technology, Cambridge, USA, 2017 - [c7]Leilani Battle, Remco Chang, Jeffrey Heer, Mike Stonebraker:
Position statement: The case for a visualization performance benchmark. DSIA 2017: 1-5 - [i2]Leilani Battle, Peitong Duan, Zachery Miranda, Dana Mukusheva, Remco Chang, Michael Stonebraker:
Beagle: Automated Extraction and Interpretation of Visualizations from the Web. CoRR abs/1711.05962 (2017) - 2016
- [c6]Leilani Battle, Danyel Fisher, Robert DeLine, Mike Barnett, Badrish Chandramouli, Jonathan Goldstein:
Making Sense of Temporal Queries with Interactive Visualization. CHI 2016: 5433-5443 - [c5]Leilani Battle, Remco Chang, Michael Stonebraker:
Dynamic Prefetching of Data Tiles for Interactive Visualization. SIGMOD Conference 2016: 1363-1375 - 2015
- [c4]Jennie Duggan, Olga Papaemmanouil, Leilani Battle, Michael Stonebraker:
Skew-Aware Join Optimization for Array Databases. SIGMOD Conference 2015: 123-135 - 2014
- [j3]Eugene Wu, Leilani Battle, Samuel Madden:
The Case for Data Visualization Management Systems. Proc. VLDB Endow. 7(10): 903-906 (2014) - [i1]Leilani Battle, Edward Benson, Aditya G. Parameswaran, Eugene Wu:
Indexing Cost Sensitive Prediction. CoRR abs/1408.4072 (2014) - 2013
- [j2]Michael Stonebraker, Jennie Duggan, Leilani Battle, Olga Papaemmanouil:
SciDB DBMS Research at M.I.T. IEEE Data Eng. Bull. 36(4): 21-30 (2013) - [c3]Leilani Battle, Michael Stonebraker, Remco Chang:
Dynamic reduction of query result sets for interactive visualizaton. IEEE BigData 2013: 1-8 - 2011
- [c2]Bill Howe, Garrett Cole, Nodira Khoussainova, Leilani Battle:
Automatic example queries for ad hoc databases. SIGMOD Conference 2011: 1319-1322 - [c1]Bill Howe, Garrett Cole, Emad Soroush, Paraschos Koutris, Alicia Key, Nodira Khoussainova, Leilani Battle:
Database-as-a-Service for Long-Tail Science. SSDBM 2011: 480-489
2000 – 2009
- 2009
- [j1]Evan Welbourne, Leilani Battle, Garrett Cole, Kayla Gould, Kyle Rector, Samuel Raymer, Magdalena Balazinska, Gaetano Borriello:
Building the Internet of Things Using RFID: The RFID Ecosystem Experience. IEEE Internet Comput. 13(3): 48-55 (2009)
Coauthor Index
Michael Stonebraker
aka: Mike Stonebraker
aka: Mike Stonebraker
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last updated on 2024-10-23 21:28 CEST by the dblp team
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