Automating the design of graphical presentations of relational information
ACM Transactions on Graphics (TOG)
Task-analytic approach to the automated design of graphic presentations
ACM Transactions on Graphics (TOG)
Interactive graphic design using automatic presentation knowledge
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Polaris: A System for Query, Analysis, and Visualization of Multidimensional Relational Databases
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Knowledge and Data Engineering
Introduction to Information Retrieval
Introduction to Information Retrieval
Optimizing data analysis with a semi-structured time series database
SLAML'10 Proceedings of the 2010 workshop on Managing systems via log analysis and machine learning techniques
Recommender Systems: An Introduction
Recommender Systems: An Introduction
Wrangler: interactive visual specification of data transformation scripts
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
VizDeck: self-organizing dashboards for visual analytics
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
Profiler: integrated statistical analysis and visualization for data quality assessment
Proceedings of the International Working Conference on Advanced Visual Interfaces
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Data exploration is largely manual and labor intensive. Although there are various tools and statistical techniques that can be applied to data sets, there is little help to identify what questions to ask of a data set, let alone what domain knowledge is useful in answering the questions. In this paper, we study user queries against production data sets in Splunk. Specifically, we characterize the interplay between data sets and the operations used to analyze them using latent semantic analysis, and discuss how this characterization serves as a building block for a data analysis recommendation system. This is a work-in-progress paper.