Autor:	Gautam Shroff, Bindu Gupta, Kaushal Paneri, Gunjan Sehgal, Karamjit Singh, Geetika Sharma
Rok vydání:	2017
Předmět:	Environmental sensor Visual analytics Data visualization business.industry Computer science Bayesian network Statistical analysis Statistical model Data mining business computer.software_genre computer Derived Data
Zdroj:	VAST
DOI:	10.1109/vast.2017.8585515
Popis:	We attempted the VAST MC2 challenge following a statistical modelling approach along with interactive visualizations to analyse and extract insights from the data. We use Bayesian networks to model dependencies between given and derived data attributes along with visual analytics techniques to answer the questions posed by the challenge.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2914910dfdbd0f4f7a35b9ad9095462b https://doi.org/10.1109/vast.2017.8585515 Zobrazit plný text záznamu