Android Application for finding Tutors using Data Mining techniques [ READ ]
Dolly Panchal, Mili Sanghavi, ShikhaDevi Pandey, Elizabeth George
This paper explains about our application i.e., Android application for finding tutors using a data mining technique. The increasing trend of private or group tuitions has made it more difficult for a parent to find a perfect tutor for his/her child. The process of finding a tutor is time consuming. The rise in educational standards has led to the need for additional coaching along with basic schooling. An Android application for finding tutors can help a parent find tutors without consulting any third party. The application encourages parents to find tutors and tutors to find prospective students in their nearby vicinities. The tutor application also considers the fact that students need personal attention and guidance in studies. Naïve Bayes algorithm is implemented in order to compare tutor profiles. Along with the Android platform used for Graphical User Interface (GUI), SQLite is used to store tutor data. Naive Bayes algorithm classifies the tutor records and thus helps in achieving maximum accuracy. WEKA is the platform used for implementing data mining techniques. The overall aim of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. When tutor registers or signs up his/her data is stored in SQLite. Parent can find tutors based on three parameters, namely area, board and preference. Based on stipulated requirements, search results are retrieved from SQLite and shall be displayed to the user.
Dolly Panchal, Mili Sanghavi, ShikhaDevi Pandey, Elizabeth George
This paper explains about our application i.e., Android application for finding tutors using a data mining technique. The increasing trend of private or group tuitions has made it more difficult for a parent to find a perfect tutor for his/her child. The process of finding a tutor is time consuming. The rise in educational standards has led to the need for additional coaching along with basic schooling. An Android application for finding tutors can help a parent find tutors without consulting any third party. The application encourages parents to find tutors and tutors to find prospective students in their nearby vicinities. The tutor application also considers the fact that students need personal attention and guidance in studies. Naïve Bayes algorithm is implemented in order to compare tutor profiles. Along with the Android platform used for Graphical User Interface (GUI), SQLite is used to store tutor data. Naive Bayes algorithm classifies the tutor records and thus helps in achieving maximum accuracy. WEKA is the platform used for implementing data mining techniques. The overall aim of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. When tutor registers or signs up his/her data is stored in SQLite. Parent can find tutors based on three parameters, namely area, board and preference. Based on stipulated requirements, search results are retrieved from SQLite and shall be displayed to the user.
