DMKernel - Kernel for Data Mining and AI, using DM Programming Language

A specialized kernel for data mining and AI applications, using DM Programming Language

Overview

DMKernel is a runtime environment that provides:

A command-line interface for interacting with data mining algorithms
A custom domain-specific language for expressing data mining operations
Optimized primitives for numerical and statistical computations
Special functions for Data Mining and AI applications
Using DM Programming Language - a programming language designed special for DMKernel

Architecture

The system is organized into several components:

Core: Memory management, context handling, and value system
Shell: Command-line interface and interactive environment
Language: Parser and interpreter for the custom language
Primitives: Data mining and AI algorithms

Building from Source

Prerequisites:

GCC or compatible C compiler
Make

Build steps:

cd dmkernel
make

Usage

Run the interactive shell:

./bin/dmkernel

Execute a script file:

./bin/dmkernel my_script.dm

Command Reference

help - Display available commands
exit - Exit the shell
version - Display kernel version information
run <filename> - Execute a script file
exec <code> - Execute a code snippet

Language Reference

The DMKernel language is designed specifically for data mining tasks and AI applications. It has features for:

Matrix and vector operations
Statistical functions and distributions
Pattern recognition algorithms
Signal processing
Geospatial data handling

Example syntax:

# Load earthquake data
data = load_usgs("earthquake_catalog.csv")

# Extract features
features = extract_features(data)

# Train a model
model = decision_tree(features, target: "aftershock")

# Predict aftershocks
predictions = model.predict(new_data)

License

This project is open source and available under the MIT License.

Duy-Thanh/DMKernel