Title

A Web-based User Interface for Machine Learning Analysis

Document Type

Conference Proceeding

Publication Date

1-1-2017

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Publisher

Springer Verlag

Volume

10274 LNCS

First page number:

444

Last page number:

453

Abstract

The purpose of this study is to develop a user-friendly web application that follows human computer interaction design guidelines and principles and is used to recognize patterns in datasets and to predict outputs of instances that it hasn’t previously encountered. The application design follows human computer interaction design guidelines and principles and it employs supervised machine learning algorithms linear regression, logistic regression, and backpropagation for prediction. Java is used in the backend to create a model that maps the input and output data based on any of the machine learning algorithms while Play Framework and Bootstrap are used to display content in frontend. The application allows users to upload datasets that will be used to train and test the system. Each column of an uploaded dataset represents an attribute and each row represents an instance. The system is also developer friendly and allows changes be made to the source code for a more customized interaction. © Springer International Publishing AG 2017.

Keywords

Machine learning; Classification; Regression; Web-based graphical user interface

Language

english

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