DEVELOPMENT OF CLASSIFICATION FEATURE AS AN EXTENSION TO POSTGRESQL DATABASE MANAGEMENT SYSTEM
Machine learning is not usually performed within the database, but using an external program. However, the data used is usually extracted from the database. The data can be processed directly from within the database using database extension. Database extension is a set of functions added to a da...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/51241 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Machine learning is not usually performed within the database, but using an external
program. However, the data used is usually extracted from the database. The data can be processed directly
from within the database using database extension. Database extension is a set of functions added to a
database management system that can be called with a query. PostgreSQL Database Management System
supports this extension feature. This paper will discuss the addition of machine learning functions to
PostgreSQL Database Management System. The scope of this paper covers the requirements of a machine
learning extension to PostgreSQL database management system, the design of the database used, as well as
the steps necessary to developing a machine learning function using one of machine learning methods,
namely Naive Bayes. The case study is to develop a job recommendation system based on the characteristics
of a user. The results collected will be analysed to be used as a reference in developing machine learning
functions using other methods. Based on the experiments, database extension can be used to support
machine learning process, therefore allowing the process of re-training and building model to be performed
automatically from within the database |
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