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:

1. A command-line interface for interacting with data mining algorithms
2. A custom domain-specific language for expressing data mining operations
3. Optimized primitives for numerical and statistical computations
4. Special functions for Data Mining and AI applications
5. 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.