The database of real world contains a huge volume of data and among them there are
hidden piles of interesting relations that are actually very hard to find out. The knowledge …

The databases of real world contains a huge volume of data and among them there are
hidden piles of interesting relations that are actually very hard to find out. The knowledge …

Cluster is a group of objects of similar type and clustering is the process of finding clusters in
dataset. Finding a set of clusters in a dataset is one fold of the data mining and it should be …

Data preprocessing is a step of the Knowledge discovery in databases (KDD) process that
reduces the complexity of the data and offers better conditions to subsequent analysis …

This paper addresses a contrastive study between Neural Networks and Rough Sets on
data classification. The experiments were carried out using the Iris database, of public …

Investments in stock markets has called the attention of new investors by providing larger
financial returns when compared to traditional investments, such as fixed income. However …

This paper presents a rough sets-based method for clustering nominal and numerical data.
This clustering result is independent of a sequence of handling object because this method …

Abstract Knowledge mining according to rough set approach is an effective method for large
datasets containing many different types of data. Rough clustering, as in rough set theory …

Abstract Knowledge Discovery in Databases (KDD) is the nontrivial extraction of implicit,
previously unknown and potentially useful information from data. Data preprocessing is a …

Clustering a set of objects into homogeneous groups is a fundamental operation in data
mining. Recently, many attentions have been put on categorical data clustering, where data …