A Web-Based User Interface for Machine Learning Analysis
| Autor: | Chandani Shrestha, Fatma Nasoz |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Source code Active learning (machine learning) Computer science business.industry media_common.quotation_subject 02 engineering and technology Graphical user interface testing Machine learning computer.software_genre Column (database) User interface design 03 medical and health sciences Upload 030104 developmental biology 020204 information systems 0202 electrical engineering electronic engineering information engineering Web application Artificial intelligence User interface business computer media_common |
| Zdroj: | Human Interface and the Management of Information: Supporting Learning, Decision-Making and Collaboration ISBN: 9783319585239 HCI (4) |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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