Discretization is an essential preprocessing technique used in many knowledge discovery
and data mining tasks. Its main goal is to transform a set of continuous attributes into discrete …

In this paper, a Pareto-based multi-objective differential evolution (DE) algorithm is
proposed as a search strategy for mining accurate and comprehensible numeric association …

Blasting operation is considered as one of the cheapest methods to break the rock into small
pieces in surface and underground mines. Ground vibration is a side effect of blasting and …

Association rules are one of the most used tools to discover relationships among attributes
in a database. Nowadays, there are many efficient techniques to obtain these rules …

Background The increasing availability of clinical data from electronic medical records
(EMRs) has created opportunities for secondary uses of health information. When used in …

This paper proposes a novel particle swarm optimization algorithm, rough particle swarm
optimization algorithm (RPSOA), based on the notion of rough patterns that use rough …

This research presents the mining of quantitative association rules based on evolutionary
computation techniques. First, a real-coded genetic algorithm that extends the well-known …

An evolutionary approach for finding existing relationships among several variables of a
multidimensional time series is presented in this work. The proposed model to discover …

Big data has become one of the key sources for valuable information and as information
becomes larger it poses some computational challenge in finding a best possible solution …

Data are naturally collected in their raw state and must undergo a series of preprocessing
steps to obtain data in their input state for Artificial Intelligence (AI) and other applications …