Application of Data Mining Techniques to a Selected Business Organisation with Special Reference to Buying Behaviour

by   Tejaswini Hilage, et al.

Data mining is a new concept & an exploration and analysis of large data sets, in order to discover meaningful patterns and rules. Many organizations are now using the data mining techniques to find out meaningful patterns from the database. The present paper studies how data mining techniques can be apply to the large database. These data mining techniques give certain behavioral pattern from the database. The results which come after analysis of the database are useful for organization. This paper examines the result after applying association rule mining technique, rule induction technique and Apriori algorithm. These techniques are applied to the database of shopping mall. Market basket analysis is performing by the above mentioned techniques and some important results are found such as buying behavior.


Building a Classification Model for Enrollment In Higher Educational Courses using Data Mining Techniques

Data Mining is the process of extracting useful patterns from the huge a...

Towards the Patterns of Hard CSPs with Association Rule Mining

The hardness of finite domain Constraint Satisfaction Problems (CSPs) is...

Detecting Informal Organization Through Data Mining Techniques

One of the main topics in human resources management is the subject of i...

Contributions to Biclustering of Microarray Data Using Formal Concept Analysis

Biclustering is an unsupervised data mining technique that aims to unvei...

An Integrated Classification Model for Financial Data Mining

Nowadays, financial data analysis is becoming increasingly important in ...

SimCleaner – Sistema de Padronização de Bases de Dados utilizando Funções de Similaridade

The Knowledge Discovery in Database (KDD) process permits the detection ...

Mining Knowledge in Astrophysical Massive Data Sets

Modern scientific data mainly consist of huge datasets gathered by a ver...