Business Intelligence and Data Mining

The Role Genetic algorithm And Fuzzy Logic

The idea of genetic algorithm is derived from natural evolution. In genetic algorithm, first of all, the initial population is created. This initial population consists of randomly generated rules....

Rough Set Approach

We can use the rough set approach to discover structural relationship within imprecise and noisy data. Note − This approach can only be applied on discrete-valued attributes. Therefore, continuous-valued attributes...

CART

Decision Trees are commonly used in data mining with the objective of creating a model that predicts the value of a target (or dependent variable) based on the values...

Various Classifiers And Classification Methods

Decision Tree: A decision tree is a structure that includes a root node, branches, and leaf nodes. Each internal node denotes a test on an attribute, each branch denotes...

Classification And Prediction

There are two forms of data analysis that can be used for extracting models describing important classes or to predict future data trends. These two forms are as follows...

KDD Process

The term Knowledge Discovery in Databases, or KDD for short, refers to the broad process of finding knowledge in data, and emphasizes the “high-level” application of particular data mining methods. The unifying goal of the...

Issues in DM

Data mining is not an easy task, as the algorithms used can get very complex and data is not always available at one place. It needs to be integrated...

Integration Data Mining System With a Database Or Data Ware House

 The Data Mining Query Language (DMQL) was proposed by Han, Fu, Wang, et al. for the DBMiner data mining system. The Data Mining Query Language is actually based on...

DM Task Primitives

Data mining deals with the kind of patterns that can be mined. On the basis of the kind of data to be mined, there are two categories of functions...

Data Mining Systems Classification

There is a large variety of data mining systems available. Data mining systems may integrate techniques from the following − Spatial Data Analysis Information Retrieval Pattern Recognition Image Analysis...