@inproceedings{431fa02f476d47d8bd9e369a85a09bef,
title = "Lytic: Synthesizing high-dimensional algorithmic analysis with domain-agnostic, faceted visual analytics",
abstract = "We present Lytic, a domain-independent, faceted visual analytic (VA) system for interactive exploration of large datasets. It combines a flexible UI that adapts to arbitrary character-separated value (CSV) datasets with algorithmic preprocessing to compute unsupervised dimension reduction and cluster data from high-dimensional fields. It provides a variety of visualization options that require minimal user effort to configure and a consistent user experience between visualization types and underlying datasets. Filtering, comparison and visualization operations work in concert, allowing users to hop seamlessly between actions and pursue answers to expected and unexpected data hypotheses.",
keywords = "Infovis, Scientific intelligence, Visual analytics",
author = "Edward Clarkson and Jaegul Choo and John Turgeson and Ray Decuir and Haesun Park",
year = "2013",
doi = "10.1145/2501511.2501518",
language = "English",
isbn = "9781450323291",
series = "Proceedings of the ACM SIGKDD 2013 Workshop on Interactive Data Exploration and Analytics, IDEA 2013",
publisher = "Association for Computing Machinery",
pages = "36--44",
booktitle = "Proceedings of the ACM SIGKDD 2013 Workshop on Interactive Data Exploration and Analytics, IDEA 2013",
note = "ACM SIGKDD 2013 Workshop on Interactive Data Exploration and Analytics, IDEA 2013 ; Conference date: 11-08-2013 Through 11-08-2013",
}