tomrockdsouza

/*
 * Email: [email protected] 
 * @author Tomrock D'souza, St. Francis Institute Of Technology, University of Mumbai, 2017
 * @copyright GNU General Public License v3.0
 * No reproduction in whole or part without maintaining this copyright notice
 * Example: https://s29.postimg.org/wm3rbxhaf/Bully_Algorithm.png
 */
#include < stdio.h >
#include < conio.h >
#include < stdlib.h >

tomrockdsouza

import java.io.*;
import java.util.*;

/** The class encapsulates an implementation of the Apriori algorithm
 * to compute frequent itemsets.
 *
 * Added Association Rules By Tomrock D'souza : https://gist.github.com/ENGINEER-RC/34bdc63161befad19ce33564a473fc58
 *
 * Datasets contains integers (>=0) separated by spaces, one transaction by line, e.g.
 * 1 2 5 

tomrockdsouza

/** 
 * The class encapsulates an implementation of the Asynchornous Mulithreaded Odd-EvenTransposition
 * @contributor Tomrock D'souza, St. Francis Institute Of Technology, University of Mumbai, 2017
 * Part of This code is Taken from :  www.roseindia.net/java/beginners/arrayexamples/OddEvenTranspositionSort.shtml
 * No reproduction in whole or part without maintaining this notice
 * and imposing this condition on any subsequent users.
 */
class EvenOddTrans extends Thread {
	private int j;
	public static final int array[] = {12,9,4,99,120,1,3,10,13};

tomrockdsouza

/** The class encapsulates an implementation of the Naive-Bayes algorithm
 *
 * First argument is for Outlook
 * Sunny=2 Overcast=1 Rain=0
 *
 * Second argument is for Temperature
 * Hot=2 Mild=1 Cool=0
 *
 * Third argument is for Humidity
 * High=1 Normal=0

tomrockdsouza

/** The class encapsulates an implementation of the Kmeans algorithm for 2D Dataset
 *
 * First	argument is for Number of Elements
 * Second	argument is for Start of Randomizer
 * Third	argument is for End of Randomizer
 * Fourth	argument is for Number of Clusters
 *
 * Usage with the command line :
 * >java Kmean2D 7 10 20 3
 * This Means 7 tupples of data will be created

tomrockdsouza

/** The class encapsulates an implementation of the Kmeans algorithm for Linear Dataset
 *
 * First	argument is for Number of Elements
 * Second	argument is for Start of Randomizer
 * Third	argument is for End of Randomizer
 * Fourth	argument is for Number of Clusters
 *
 * Usage with the command line :
 * >java Kmeans 7 10 20 3
 * This Means 7 tupples of data will be created

tomrockdsouza

/**
 * This Program Only Works in DOS-BOX on Turbo C++ Compiler
 * To Get DOS-BOX emulator with Turbo C : https://www.google.com/search?q=turbo+C
 *
 * @author Tomrock D'souza, St. Francis Institute Of Technology, University of Mumbai, 2017
 * Email: [email protected]
 * No reproduction in whole or part without maintaining this notice
 */
#include<stdio.h>
#include<conio.h>

tomrockdsouza

/**
 * @main-author Tomrock D'souza, St. Francis Institute Of Technology, University of Mumbai, 2017
 * Email: [email protected] 
 * No reproduction in whole or part without maintaining this notice
 * and imposing this condition on any subsequent users.
 * Example: https://postimg.org/image/y55004t9z/
 */
#include<stdio.h>
#include<conio.h>

tomrockdsouza

/**
 * Implementation of 8puzzle problem using Heuristic Function
 * Needed matrix can be changed by altering variable array[9]
 * 1 2 3
 * 8 0 4
 * 7 6 5
 *
 * Input at the start Example
 * Enter values:2 8 3 1 6 4 7 0 5
 *

tomrockdsouza

/**
 * Implementation of adversarial search
 * Example To Use Program :https://s15.postimg.org/yyh4lhdsr/Adversial.png
 *
 * Email: [email protected] 
 * @author Tomrock D'souza, St. Francis Institute Of Technology, University of Mumbai, 2017
 * @copyright GNU General Public License v3.0
 * No reproduction in whole or part without maintaining this copyright notice
 * and imposing this condition on any subsequent users.
 */