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20112026
most citedYou can't always sketch what you want: Understanding Sensemaking in Visual Query Systems

43 citations · 288 across the 47 of their papers we have counts for

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Showing 2017Show all

6 papers · 1 filter

cs.DB2017★ 43 cited

You can't always sketch what you want: Understanding Sensemaking in Visual Query Systems

Doris Jung-Lin Lee, John Lee, Tarique Siddiqui +3

Visual query systems (VQSs) empower users to interactively search for line charts with desired visual patterns, typically specified using intuitive sketch-based interfaces. Despite…

cs.DB2017★ 3 cited

Navigating the Data Lake with Datamaran: Automatically Extracting Structure from Log Datasets

Yihan Gao, Silu Huang, Aditya Parameswaran

Organizations routinely accumulate semi-structured log datasets generated as the output of code; these datasets remain unused and uninterpreted, and occupy wasted space - this phen…

cs.DB2017

Towards a Holistic Integration of Spreadsheets with Databases: A Scalable Storage Engine for Presentational Data Management

Mangesh Bendre, Vipul Venkataraman, Xinyan Zhou +2

Spreadsheet software is the tool of choice for interactive ad-hoc data management, with adoption by billions of users. However, spreadsheets are not scalable, unlike database syste…

cs.DB2017

Adaptive Sampling for Rapidly Matching Histograms

Stephen Macke, Yiming Zhang, Silu Huang +1

In exploratory data analysis, analysts often have a need to identify histograms that possess a specific distribution, among a large class of candidate histograms, e.g., find countr…

cs.DB2017★ 1 cited

OrpheusDB: Bolt-on Versioning for Relational Databases

Silu Huang, Liqi Xu, Jialin Liu +2

Data science teams often collaboratively analyze datasets, generating dataset versions at each stage of iterative exploration and analysis. There is a pressing need for a system th…

cs.HC2017★ 6 cited

Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace

Ayush Jain, Akash Das Sarma, Aditya Parameswaran +1

We conduct an experimental analysis of a dataset comprising over 27 million microtasks performed by over 70,000 workers issued to a large crowdsourcing marketplace between 2012-201…