cs-arm-apriori 1.0.1

Apriori Association Rule Mining

Install-Package cs-arm-apriori -Version 1.0.1
dotnet add package cs-arm-apriori --version 1.0.1
<PackageReference Include="cs-arm-apriori" Version="1.0.1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add cs-arm-apriori --version 1.0.1
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

cs-arm

Associative Rule Mining in C#

The current project implements the Apriori algorithm for associative rule mining

Apriori algorithm is a frequent pattern mining algorithm that finds frequent patterns with support threshold defined by user.

Install

Run the following nuget command:

Install-Package cs-arm-apriori

Usage

The sample code below shows how to use Apriori to find the frequent item sets:

using System;
using System.Collections.Generic;
using ARM;

namespace project_demo
{
    class Program
    {
        static void Main(string[] args)
        {
            List<HashSet<char>> database = new List<HashSet<char>>();
            database.Add(new HashSet<char>(new char[] { 'a', 'c', 'd', 'e' }));
            database.Add(new HashSet<char>(new char[] { 'a', 'b', 'e' }));
            database.Add(new HashSet<char>(new char[] { 'b', 'c', 'e' }));
            database.Add(new HashSet<char>(new char[] { 'b', 'c', 'e' }));

            Apriori<char> method = new Apriori<char>();
            Dictionary<int, List<ItemSet<char>>> itemsets = method.BuildFreqItemSet(database, new List<char>() { 'a', 'b', 'c', 'd', 'e' }, 2);
            foreach (int supportLevel in itemsets.Keys)
            {
                List<ItemSet<char>> itemsetList = itemsets[supportLevel];
                foreach (ItemSet<char> itemset in itemsetList)
                {
                    Console.WriteLine("{0} (support: {1})", itemset, itemset.SupportLevel);
                }

            }
        }
    }
}

cs-arm

Associative Rule Mining in C#

The current project implements the Apriori algorithm for associative rule mining

Apriori algorithm is a frequent pattern mining algorithm that finds frequent patterns with support threshold defined by user.

Install

Run the following nuget command:

Install-Package cs-arm-apriori

Usage

The sample code below shows how to use Apriori to find the frequent item sets:

using System;
using System.Collections.Generic;
using ARM;

namespace project_demo
{
    class Program
    {
        static void Main(string[] args)
        {
            List<HashSet<char>> database = new List<HashSet<char>>();
            database.Add(new HashSet<char>(new char[] { 'a', 'c', 'd', 'e' }));
            database.Add(new HashSet<char>(new char[] { 'a', 'b', 'e' }));
            database.Add(new HashSet<char>(new char[] { 'b', 'c', 'e' }));
            database.Add(new HashSet<char>(new char[] { 'b', 'c', 'e' }));

            Apriori<char> method = new Apriori<char>();
            Dictionary<int, List<ItemSet<char>>> itemsets = method.BuildFreqItemSet(database, new List<char>() { 'a', 'b', 'c', 'd', 'e' }, 2);
            foreach (int supportLevel in itemsets.Keys)
            {
                List<ItemSet<char>> itemsetList = itemsets[supportLevel];
                foreach (ItemSet<char> itemset in itemsetList)
                {
                    Console.WriteLine("{0} (support: {1})", itemset, itemset.SupportLevel);
                }

            }
        }
    }
}

Release Notes

Apriori Association Rule Mining in .NET 4.6.1

Dependencies

This package has no dependencies.

This package is not used by any popular GitHub repositories.

Version History

Version Downloads Last updated
1.0.1 361 4/29/2018