Application Use Cases and Collaborative Features

The application allows users to form teams and work on large research projects before drawing conclusions about important phenomena or events. This application supports various fields, with the following case examples:

Marketing: Segmenting customers based on age, income, and spending patterns, allowing for more targeted marketing strategies.

Medical and Health: Grouping patients based on symptoms or medical examination results, enabling medical personnel to more quickly recognize disease patterns and determine appropriate treatment.

Industry: Monitoring machine sensors to identify machines operating normally, experiencing wear and tear, or those with potential for failure, allowing for proactive maintenance measures.

Education: Grouping students based on test scores or academic performance, for instance, into fast learners, average, or those requiring special attention, to design suitable learning methods.

FORTE-ION Application Flow

Upload Dataset: The dataset upload process is centrally stored in the database.

Live Data Editing: Users can edit the data directly, with changes saved automatically.

Project Initialization: Starting a project by selecting a dataset from the available list.

Unsupervised Learning: If the dataset lacks clear labels or parameters, the data can be classified using the Unsupervised Learning method.

Supervised Learning: If the dataset has clear labels and structure, analysis can be performed directly using the Supervised Learning method.

Forte-ion by Barisan