The aim of this paper is to survey and discuss some key connections between information
and confirmation within a broadly Bayesian framework. We mean to show that treating …

Association rule mining (ARM) aims to find out association rules that satisfy predefined
minimum support and confidence from a given database. However, in many cases ARM …

Human cognition and behavior heavily relies on the notion that evidence (data, premises)
can affect the credibility of hypotheses (theories, conclusions). This general idea seems to …

Searching for information is critical in many situations. In medicine, for instance, careful
choice of a diagnostic test can help narrow down the range of plausible diseases that the …

Imbalanced classification problems are attracting the attention of the research community
because they are prevalent in real-world problems and they impose extra difficulties for …

Software defect prediction technology is used to assist software practitioners in effectively
allocating test resources and identifying hidden defects in a timely manner. However, the …

Confirmation is a useful concept for assessing the impact of the premise on the conclusion of
a rule induced from data. Interpretation of probabilistic relationships between premise and …

The demand for skilled data scientists is rapidly increasing as more organizations recognize
the value of data-driven decision-making. Data science, data management, and data mining …

As there are many various methods for time series prediction developed but none of them
generally outperforms all the others, there always exists a danger of choosing a method that …

We introduce a new measure of bivariate jointness to assess the degree of inclusion
dependency between pairs of explanatory variables in Bayesian Model Averaging analysis …