Exploration of User Groups in VEXUS
December 10, 2017 ยท Declared Dead ยท ๐ IEEE International Conference on Data Engineering
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Authors
Sihem Amer-Yahia, Behrooz Omidvar-Tehrani, Joao Comba, Viviane Moreira, Fabian Colque Zegarra
arXiv ID
1712.03529
Category
cs.DB: Databases
Citations
8
Venue
IEEE International Conference on Data Engineering
Last Checked
3 months ago
Abstract
We introduce VEXUS, an interactive visualization framework for exploring user data to fulfill tasks such as finding a set of experts, forming discussion groups and analyzing collective behaviors. User data is characterized by a combination of demographics like age and occupation, and actions such as rating a movie, writing a paper, following a medical treatment or buying groceries. The ubiquity of user data requires tools that help explorers, be they specialists or novice users, acquire new insights. VEXUS lets explorers interact with user data via visual primitives and builds an exploration profile to recommend the next exploration steps. VEXUS combines state-of-the-art visualization techniques with appropriate indexing of user data to provide fast and relevant exploration.
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