This paper proposed a feature selection with privacy preservation in centralized network. Data can be preserved for privacy by perturbation technique as alias name. In centralized data evaluation, it makes data classification and feature selection for data mining decision model which make the structural information of model in this paper. The application of gain ratio technique for better perfo...

In current Proof-of-Work (PoW) blockchain systems, miners usually form mining pools to compete with other pools/miners in the competition. Forming can give steady revenues but will introduce two critical issues. One is pool selection, where select join order maximize their revenues. The a Block WithHolding (BWH) attack, inject part of hash/mining power into obtain additional without contributin...

Identification of risk factors in patients with a particular disease can be analyzed in clinical data sets by using feature selection procedures of pattern recognition and data mining methods. The applicability of the relaxed linear separability (RLS) method of feature subset selection was checked for high-dimensional and mixed type (genetic and phenotypic) clinical data of patients with end-st...

Process mining is a research discipline that applies data analysis and computational intelligence techniques to extract knowledge from event logs of information systems. It aims provide new means discover, monitor, improve processes. has gained particular attention over recent years process software tools, both academic commercial, have been developed. This paper provides survey tools. identifi...