https://github.com/dentrax/data-mining-algorithms
Data Mining Algorithms with C# using LINQ
https://github.com/dentrax/data-mining-algorithms
algorithm apriori apriori-algorithm c45 clustering-algorithm data-mining data-mining-algorithms data-science desiciontree id3 id3-algorithm k-means k-nearest-neighbor linq nearest-neighbors
Last synced: 18 days ago
JSON representation
Data Mining Algorithms with C# using LINQ
- Host: GitHub
- URL: https://github.com/dentrax/data-mining-algorithms
- Owner: Dentrax
- License: mit
- Created: 2018-02-11T17:51:46.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-02-11T17:58:12.000Z (over 7 years ago)
- Last Synced: 2025-04-30T16:19:47.573Z (18 days ago)
- Topics: algorithm, apriori, apriori-algorithm, c45, clustering-algorithm, data-mining, data-mining-algorithms, data-science, desiciontree, id3, id3-algorithm, k-means, k-nearest-neighbor, linq, nearest-neighbors
- Language: C#
- Size: 91.8 KB
- Stars: 42
- Watchers: 1
- Forks: 20
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
Data Mining Algorithms with C# Public Source Repository
**`WARNING`: It was created for testing and training purposes only**
[What It Is](#what-it-is)
[How To Use](#how-to-use)
[Requirements](#requirements)
[Curriculum](#curriculum)
[About](#about)
[Collaborators](#collaborators)
[Branches](#branches)
[Copyright & Licensing](#copyright--licensing)
[Contributing](#contributing)
[Contact](#contact)
## What It Is
**Data Mining Algorithms with C#**
Data Mining Algorithms guide for C# language is an easy and advanced way to learn how algorithms works in theory.
**Uses : `C# Language`** -> **[Official Visual Studio](https://www.visualstudio.com/downloads/)**
**Who is the target audience?**
This course is meant for anyone who wants to learn some Data Mining Algorithms in C#. The examples are made with C# using LINQ.
* Warning : This course assumes you have some C# knowledge, and `does not teach C# itself.`
* Warning : These example tutorials are not a "How to Data Mine" or "How Data-Mining works" and will not teach "Data-Mining techniques"
## How To Use
Just research the **[main solution](https://github.com/Dentrax/Data-Mining-Algorithms)**.
## Requirements
* You should be familiar with .NET family
* You will need a text editor (like VSCode) or IDE (Visual Stuido)
* You will need a computer on which you have the rights to install .NET Framework
## Curriculum
Algorithms List
--------------------------
| Algoritm | Function | Type |
| ------------------------- |:-----------------------------:|:-------------:|
| `ID3` | Decision Tree | Supervised |
| `C4.5` | Decision Tree | Supervised |
| `K-Nearest Neighborhood` | Classification & Regression | Supervised |
| `Nearest Neighbor` | Classification & Regression | Supervised |
| `Farthest Neighbor` | Classification & Regression | Supervised |
| `Apriori` | Association | UnSupervised |
| `K-Means` | Clustering | UnSupervised |
Useful Wikipedia Links
--------------------------
**Algorithms**
`ID3` -> **[Click here](https://en.wikipedia.org/wiki/ID3_algorithm)**
`C4.5` -> **[Click here](https://en.wikipedia.org/wiki/C4.5_algorithm)**
`K-Nearest Neighborhood` -> **[Click here](https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm)**
`Nearest Neighbor` -> **[Click here](https://en.wikipedia.org/wiki/Nearest_neighbor_search)**
`Farthest Neighbor` -> **[Click here](https://en.wikipedia.org/wiki/Farthest_neighbor)**
`Apriori` -> **[Click here](https://en.wikipedia.org/wiki/Apriori_algorithm)**
`K-Means` -> **[Click here](https://en.wikipedia.org/wiki/K-means_clustering)**
**Functions**
`Supervised` -> **[Click here](https://en.wikipedia.org/wiki/Supervised_learning)**
`UnSupervised` -> **[Click here](https://en.wikipedia.org/wiki/Unsupervised_learning)**
## About
Data-Mining-Algorithms was created to serve three purposes:
**Data-Mining-Algorithms is a basically Data-Mining learning repository which all mining-algorithms coded in C# language**
1. To act as a guide to learn Data Mining Algorithms with enhanced and rich content using `LINQ`.
2. To act as a guide to exemplary and educational purpose.
3. There is no any Data Structures guide coded in Go language on the internet.
## Collaborators
**Project Manager** - Furkan Türkal (GitHub: **[dentrax](https://github.com/dentrax)**)
## Branches
We publish source for the **[Data-Mining-Algorithms]** in single rolling branch:
The **[master branch](https://github.com/dentrax/Data-Mining-Algorithms/tree/master)** is extensively tested by our QA team and makes a great starting point for learning the algorithms. Also tracks [live changes](https://github.com/dentrax/Data-Mining-Algorithms/commits/master) by our team.
## Copyright & Licensing
The base project code is copyrighted by Furkan 'Dentrax' Türkal and is covered by single licence.
All program code (i.e. Go) is licensed under MIT License unless otherwise specified. Please see the **[LICENSE.md](https://github.com/Dentrax/Data-Mining-Algorithms/blob/master/LICENSE)** file for more information.
**References**
While this repository is being prepared, it may have been quoted from some sources.
If there is an unspecified source, please contact me.
## Contributing
Please check the [CONTRIBUTING.md](CONTRIBUTING.md) file for contribution instructions and naming guidelines.
## Contact
Data-Mining-Algorithms was created by Furkan 'Dentrax' Türkal
*
You can contact by URL:
**[CONTACT](https://github.com/dentrax)**
Best Regards