Title
SPHINX: rich insights into evidence-hypotheses relationships via parameter space-based exploration
Abstract
We demonstrate our SPHINX system that not only derives but also visualizes evidence-hypotheses relationships on a parameter space of belief and plausibility. SPHINX facilitates the analyst to interactively explore the contribution of different pieces of evidence towards the hypotheses. The key technical contributions of SPHINX include both computational and visual dimensions. The computational contributions cover (a.) flexible computational model selection; and (b.) real-time incremental strength computations. The visual contributions include (a.) sense-making over parameter space; (b.) filtering and abstraction options; (c.) novel visual displays such as evidence glyph and skyline views. Using two real datasets, we will demonstrate that the SPHINX system provides the analysts with rich insights into evidence-hypothesis relationships facilitating the discovery and decision making process.
Year
DOI
Venue
2013
10.1145/2505515.2508202
CIKM
Keywords
Field
DocType
evidence glyph,novel visual display,parameter space-based exploration,visual dimension,evidence-hypotheses relationship,computational contribution,sphinx system,flexible computational model selection,abstraction option,visual contribution,rich insight,different piece,parameter space,hypothesis testing,visual analytics
Skyline,Glyph,Data mining,Computer science,Visual analytics,Parameter space,Artificial intelligence,Decision-making,Statistical hypothesis testing,Sphinx,Information retrieval,Model selection,Machine learning
Conference
Citations 
PageRank 
References 
0
0.34
6
Authors
5
Name
Order
Citations
PageRank
Abhishek Mukherji1796.27
Jason Whitehouse291.53
Christopher R. Botaish391.53
Elke A. Rundensteiner44076700.65
Matthew O. Ward51757189.48