ALIS: Algorithmic Library for Scalability

ALIS: Algorithmic Library for Scalability is a Python package and a good accompanying reference for Leskovec, Rajaraman, and Ullman’s Mining of Massive Datasets. This book currently covers topics from Chapters 3 through 5, and Chapter 10 of the reference.

This book provides:

1. Additional mathematical and code examples

2. Additional exercises both theoretical and practical

3. Re-useable API for scalable data mining

ALIS is inspired by the Dive into Deep Learning interactive book with code, math, and discussion.

Authors

ALIS is proudly made by the Asian Institute of Management’s PhDinDS batch 2024

• Leodegario Lorenzo II

• Michael Dorosan

• Joseph Christian Noel

• Antonio Briza

• Ranzivelle Marianne Roxas-Villanueva

with supervision of our Professor Christian Alis, PhD.

• Introduction
• Installation

Contents

• Finding Similar Items
• Stream Mining
• Link Analysis
• Social Network Graphs
• Bibliography

API Reference

• Feature Extraction
• Similarity
• Stream Mining
• Link Analysis
• Network Tools

Indices and tables

• Index

• Module Index

• Search Page