Improve Location Based Services Using Data Mining Techniques

Abstract

In the recent years, with the rise of mobile technology new service, Location Based Service, has
developed. Reliable LBS applications or services mostly depend on the accuracy as well as integrity of location data
.The most important thing is timely updated attributes. Identifying and organizing the location information is a very
time consuming .Also human error is another fact that is unable to avoid. How to improve the accuracy and quality
of location data through the data de-duplication process using web mining techniques till up to now, not many
previous studies have been done. Our proposed system is an efficient and cost-effective way to integrate the location
information .Which is collected from multiple data sources. The main advantage is that in our proposed system by
using various data mining techniques de-duplication process is that automatically performed. Different algorithms
have been used for effective and efficient handling the location data integration task. In this experiment data mining
tool is used that is WEKA tool, it consists of in build algorithms