The phylogenomic classification of protein sequences attempts to categorize a given protein within the evolutionary context of the entire family. It involves mainly four steps: selection of homologous sequences, multiple sequence alignment, phylogenetic tree construction and tree-based classification. This supposes that the tree used as a basis of protein classification is correct. Sequence ali...

this paper presents a data envelopment analysis (dea) model combined with bootstrapping to assess performance of one of the data mining algorithms. we applied a two-step process for performance productivity analysis of insurance branches within a case study. first, using a dea model, the study analyzes the productivity of eighteen decision-making units (dmus). using a malmquist index, dea deter...

A full automated classification of tree species was tested on single tree level. This approach intends to classify without any parameter input or predefined knowledge. In the forerun it was therefore necessary to build algorithms which combine the LiDAR data based 2D single tree delineation with the spectral information from colour infrared (CIR) images. During the tree species classification t...

Due to the rise of technology, the possibility of fraud in different areas such as banking has been increased. Credit card fraud is a crucial problem in banking and its danger is over increasing. This paper proposes an advanced data mining method, considering both feature selection and decision cost for accuracy enhancement of credit card fraud detection. After selecting the best and most effec...