Improve Location Based Services Using Data Mining Techniques
| Author(s) | : | Miss.Chandni Kumbhar, Miss.Ashwini Waghmode, Miss.Shital Ranmode, Miss Komal Kokane, ProfGavali A. B. |
| Institution | : | Department of Computer Engineering S. B. Patil Collage Of Engineering, Indapur, Dist. - Pune. SavitaribaiPhule Pune University |
| Published In | : | Vol. 3, Issue 13 — January 2016 |
| Page No. | : | - |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
In the recent years, with the rise of mobile technology new service, Location Based Service, hasdeveloped. 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 verytime consuming .Also human error is another fact that is unable to avoid. How to improve the accuracy and qualityof location data through the data de-duplication process using web mining techniques till up to now, not manyprevious studies have been done. Our proposed system is an efficient and cost-effective way to integrate the locationinformation .Which is collected from multiple data sources. The main advantage is that in our proposed system byusing various data mining techniques de-duplication process is that automatically performed. Different algorithmshave been used for effective and efficient handling the location data integration task. In this experiment data miningtool is used that is WEKA tool, it consists of in build algorithms
Miss.Chandni Kumbhar, Miss.Ashwini Waghmode, Miss.Shital Ranmode, Miss Komal Kokane, ProfGavali A. B., “Improve Location Based Services Using Data Mining Techniques”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 13, pp. -, January 2016.
