A method for managing evidential reasoning in a hierarchical hypothesis space
Artificial Intelligence
Emotion Recognition Using a Cauchy Naive Bayes Classifier
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
A taxonomy of glyph placement strategies for multidimensional data visualization
Information Visualization
Data warehousing and analytics infrastructure at facebook
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Towards exploratory hypothesis testing and analysis
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
PARAS: interactive parameter space exploration for association rule mining
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
Hi-index | 0.00 |
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.