Law Informatics, (A) Law and Legislation Engineering, (B) Law and Legislation Combinatorics

Using Data Mining Algorithms and Combinatorics Theory in Legal Rule Induction

Authors

DOI:

https://doi.org/10.68825/rdrf2x50

Keywords:

Law Informatics, Law, Legislation, Legislation Engineering, Legislation Combinatorics, Mathematics, Computer Science, Data Mining

Abstract

Research Description

A new interesting creative line of research that is mixing Law, Mathematics and Computer Science in a way of producing something so called "Law – Informatics", with the main sub research titles named:
A. Law and Legislation Engineering.
B. Law and Legislation Combinatorics.

(A) Law and Legislation Engineering

Law and Legislation Engineering is about using Advanced Analysis and Data Mining Techniques and Algorithms in developing Laws and Legislation. As a knowledge discovery tools, it will help in extracting the hidden knowledge in big databases in any community, the knowledge that strongly help in developing the most suitable Laws and Legislation in any society.

(B) Law and Legislation Combinatorics

Law and Legislation Combinatorics is about using Combinatorics Theories in Mathematics and Computer Science for solving the problems that rise from the intersections and overlapping of distinct Laws and Legislation in any society, or even in several union states or societies, in a way that produce the most suitable legislation solutions.

Research Problem

The main problem of this research is trying to provide the best Legislation Solutions for the negative phenomena in the society, and to solve the legal problems that rise from facing many complicated, intersected, and overlapped laws in the society.

In general, one can expect the needs of such research to provide legislation solutions in any society, or even in in several states or societies that is made together a union of states, in a way that help to produce the most suitable legislation solutions that meets the union needs from aside and be suitable for all states from the other.

Examples:

1. Developing the International Law
2. Developing the European Union Law
3. Developing Palestinian Law

Author Biography

  • Mustafa Ebaid, Multi Disciplines Research and Studies Center, Gaza, Palestine

    Independent scholar and researcher specializing in law, mathematics, and computer science.

    Founder and Director General of Multi-Disciplinary Research and Studies Center (mdrscenter.com).

    Founder and Director of the Modern Research journal - a peer-reviewed, multidisciplinary academic journal (ISSN: 2520-5250).

References

Mathematics, Combinatorics Theory References

Computer Science, Inormation Technology References

Big Data and Data Science, Data Mining References

Public and Pricate Law Referenes

Downloads

Published

2026-11-05

Issue

Section

Research proposals and ongoing research

How to Cite

Ebaid, M. (2026). Law Informatics, (A) Law and Legislation Engineering, (B) Law and Legislation Combinatorics: Using Data Mining Algorithms and Combinatorics Theory in Legal Rule Induction. Modern Research Journal - Multidisciplinary Peer Reviewed, 1(1). https://doi.org/10.68825/rdrf2x50