eXplainable Mapping Analytics Platform (XMAP) is a people-centric analytics solution aiming at providing an effortless and systematic methodology to handle complex data analytics tasks. By taking advantages of advanced artificial intelligence (AI) algorithms, XMAP can cope with big and high-dimensional data without compromising the interpretability of the obtained models. XMAP steps include:

• Data Cleaning
• Data Mapping
• Topology Learning
• Context Learning

XMAP is an ongoing project and purely developed using Python.

Preview

Select Datasets

Descriptive Analytics

Data Mapping

Topology Learning

Context Extraction

Explainable Prediction

Requirements

• dash, dash_core_components, dash_table, dash_html_components
• sklearn
• umap

XMAP has been tested on window 10 and ubuntu, with anaconda python 3.6

Quick start

run /datamap/dash-xmap/app.py

Publication

Nguyen, S., Tran, B. XMAP: eXplainable mapping analytical process. Complex Intell. Syst. (2021). https://doi.org/10.1007/s40747-021-00583-8