In this article, we recall two established approaches to qualitative data mining. Subsequently, we introduce a novel distance measure as well as, built thereupon, a preference relation yielding a context-aware ranking of approaches to data mining. This measure is then used to evaluate and compare...
The first approach, itemset mining, has recently been applied to this problem. The other approach, sequential-pattern mining, has not been previously applied to this problem. Here, a call-usage pattern is a composition of function calls that occur in a function definition. Both approaches look...
It can be said that data mining provides a deeper look in the data. This paper provides a comparison and case-study of benefits obtained by applying OLAP or data mining techniques and the effect of integrating the both approaches in ERP 展开 ...
It can be said that data mining provides a deeper look in the data. This paper provides a comparison and case-study of benefits obtained by applying OLAP or data mining techniques and the effect of integrating the both approaches in ERP...
By minimising the imbalance of known and observed confounders between the treatment groups, PS methods reduce the bias in the estimation of the causal treatment effect due to the observed confounders. There are numerous approaches to using the PS to draw causal inference. Each approach has its ...
Methods: Using data mining, we compared and contrasted fundamental features of consensus-based criteria versus empirical latent factors. In general, these approaches found the domain of fatigue/post-exertional malaise as best differentiating patients from controls. Results: Findings indicated that the ...
Both classical statistical methods and promising but less known data-mining-based approaches are discussed. The aim of the paper is to put these approaches into perspective by focusing on their specificity and the complementary views they bring on life courses. Three illustrations using data from ...
in a graph that contains relevant biomedical knowledge. Such a knowledge graph can be extracted from biomedical literature, using text mining tools. In this work, we compare state-of-the-art graph embedding approaches and contextual path analysis on the interaction prediction task. The comparison re...
Two approaches for clustering algorithms with relational-based data In presenting these two approaches, we aim to tackle relational-based dataset in a simple and efficient way, improving the efficiency of corporations that ... JC Xavier-Junior,AMP Canuto,LMG Gonalves - 《Knowledge & Information Sy...
The methods described in the literature for predicting stress in daily-life activities can be categorized into two main approaches [3, 4]: i) continuous measurement techniques, which include facial stress recognition, behavioural analyses (such as body gestures and stress speech analysis), vital sign...