Objective We present the implementation and application of a case-based reasoning (CBR)
system for breast cancer related diagnoses. By retrieving similar cases in a breast cancer …

In case-based reasoning (CBR) classification systems, the similarity metrics play a key role
and directly affect the system's performance. Based on our previous work on the learning …

With the arrival of big data era, the integration of Case-Based Reasoning (CBR) and
Bayesian Network (BN) has become increasingly a promising technology in implementing …

To develop an advanced CBR system to well adapt to the intelligence implementation of
new engineering process in the big data environment, Bayesian network (BN) model is …

Under big data, the integrated system of case-based reasoning and Bayesian network has
exhibited great advantage in implementing the intelligence of engineering application in …

Case-based reasoning has considerable potential to model decision support systems for
smart agriculture, assisting farmers in managing farming operations. However, with the …

Semantic similarity search is one of the most promising methods for improving the
performance of retrieval systems. This paper presents a new probabilistic method for …

Semantic search has a great potentiality in helping users to make choices, since it appears
to outperform traditional keyword-based approaches. This paper presents an ontology …

As an effective way of data analysis, clustering is widely applied in the IoT based
applications. By studying the related existing proposals of data clustering, a new clustering …