The developments in the automotive industry are mainly motivated by the demand for more resource efficient vehicles. Besides this, there are high strength requirements for the used construction materials in order to implement efficient engines. As a consequence of the described requirements in the automotive field there exists a continuous trend towards the development of more resistant steels ...

classifying customers using data mining algorithms, enables banks to keep old customers loyality while attracting new ones. using decision tree as a data mining technique, we can optimize customer classification provided that the appropriate decision tree is selected. in this article we have presented an appropriate model to classify customers who use internet banking service. the model is deve...

background: length of stay is one of the most important indicators in assessing hospital performance. a shorter stay can reduce the costs per discharge and shift care from inpatient to less expensive post-acute settings. it can lead to a greater readmission rate, better resource management, and more efficient services. objective: this study aimed to identify the factors influencing length of ho...

background : the data related to patients often have very useful information that can help us to resolve a lot of problems and difficulties in different areas. this study was performed to present a model-based data mining to predict lung cancer in 2014. methods : in this exploratory and modeling study, information was collected by two methods: library and field methods. all gathered variables w...

Exploring the vast number of possible feature interactions in domains such as gene expression microarray data is an onerous task. We describe Backward-Chaining Rule Induction (BCRI) as a semi-supervised mechanism for biasing the search for IF-THEN rules that express plausible feature interactions. BCRI adds to a relatively limited tool-chest of hypothesis generation software and is an alternati...