RMI Client server implementation

RMIServer.java import java.rmi.Naming; public class RMIServer{ public static void main(String args[]) throws Exception{ MyRemoteInterfaceImpl obj = new MyRemoteInterfaceImpl(); Naming.rebind("RMIServer",obj); System.out.println("Object Registered"); } } RMIClient.java import java.rmi.Naming; import java.util.Scanner; public class RMIClient{ public static void main(String arg[]) throws Exception{ MyRemoteInterface obj = (MyRemoteInterface)Naming.lookup("RMIServer"); System.out.println("1.Farenheit to Celcius\n2.Celcius to Farenheit"); Scanner sc = new Scanner(System.in); int op =…

TCP/IP socket Programing (reverse string)

Create Client and server client sends a string and server sends a reverse string. Add following lines to Client.java import java.net.*; import java.io.*; import java.util.Scanner; public class Client{ public static void main(String arg[]) throws Exception{ InetAddress ia = InetAddress.getLocalHost(); Socket cSock = new Socket(ia,1234); DataInputStream in = new DataInputStream(cSock.getInputStream()); DataOutputStream out = new DataOutputStream(cSock.getOutputStream()); System.out.println("Please…

Ring Algorithm in java

import java.util.Scanner; class Process{ public int id; public boolean active; public Process(int id){ this.id=id; active=true; } } public class Ring{ int noOfProcesses; Process[] processes; Scanner sc; public Ring(){ sc=new Scanner(System.in); } public void initialiseRing(){ System.out.println("Enter no of processes"); noOfProcesses=sc.nextInt(); processes = new Process[noOfProcesses]; for(int i=0;i<processes.length;i++){ processes[i]= new Process(i); } } public int getMax(){ int maxId=-99;…

Bully Algorithm Java Implementation

import java.util.Scanner; class Process{ public int id; public boolean active; public Process(int id){ this.id=id; this.active=true; } } public class Bully { Scanner sc; Process[] processes; int noOfProcess; public Bully(){ sc= new Scanner(System.in); } public void initialiseRing(){ System.out.println("Enter No of Processes"); noOfProcess = sc.nextInt(); processes = new Process[noOfProcess]; for(int i=0;i<noOfProcess;i++){ processes[i]= new Process(i); } } public…

Sha1 in java

import java.security.*; import java.util.Scanner; public class Sha1 { public static void main(String args[]) throws NoSuchAlgorithmException { MessageDigest md=MessageDigest.getInstance("sha1"); System.out.println("Algorithm:="+md.getAlgorithm()); System.out.println("service provider:"+md.getProvider()); System.out.println("enter message"); String M; Scanner sc=new Scanner(System.in); M=sc.next(); byte in[]=M.getBytes(); md.update(in); byte out[]=md.digest(); System.out.println("digest in bytes="+out); System.out.println("digest in string form="+new String(out)); String digest; digest=byteToHex(out); System.out.println("digest in hex string:"+digest); } public static String byteToHex(byte[]b) {…

Chinese remainder theorem in java

import java.util.*; public class ChineseRemainder { int a[],m[],z[],y[],x; void read(int n) { Scanner sc=new Scanner(System.in); a=new int[n]; m=new int[n]; System.out.println("enter the values of a"); for(int i=0;i<n;i++) { a[i]=sc.nextInt(); } System.out.println("enter the values of m"); for(int i=0;i<n;i++) { m[i]=sc.nextInt(); } } void print(int n) { for(int i=0;i<n;i++) { System.out.println("x ="+a[i] + "mod" + m[i]); } }…

SVM CLASSIFICATION (USING WEKA API IN JAVA)

SVM CLASSIFICATION (USING WEKA API IN JAVA)  Perform classification on ‘iris.arff’ using SVM algorithm in Java with the help of Weka API  Perform 10-Fold Cross validation of the data.  Find Accuracy, Error rate, precision, Recall, TPR,FPR,TNR,FPR package ml.classification.weka; import java.io.BufferedReader; import java.io.FileReader; import java.util.Random; import weka.classifiers.Evaluation; import weka.classifiers.functions.SMO; import weka.core.Instances; public class…

SIMPLE NAÏVE BAYES CLASSIFICATION (USING WEKA API IN JAVA)

SIMPLE NAÏVE BAYES CLASSIFICATION (USING WEKA API IN JAVA)  Perform classification on ‘iris.arff’ using Simple Naïve Bayes algorithm in Java with the help of Weka API  Perform 10-Fold Cross validation of the data.  Find Accuracy, Error rate, precision, Recall, TPR,FPR,TNR,FPR   /* --------------------------------------------------------------------------------*/ /* Classification of iris data using Naive Bayes Classifier…

CLASSIFICATION using J48 Algorithm (USING WEKA API IN JAVA)

CLASSIFICATION using J48 Algorithm (USING WEKA API IN JAVA)  Perform classification on ‘iris.arff’ using J48 Decision Tree algorithm in Java with the help of Weka API  Perform 10-Fold Cross validation of the data.  Provide –C = 0.25 and –M= 20  Find Accuracy, Error rate, precision, Recall, TPR,FPR,TNR,FPR  Print the decision…

Association Rule mining example with R

Association Rule mining example with R What we are doing? For ‘Groceries’ dataset, find out the frequent item sets. Sort these frequent items and list out the top 6 items Find association rule out of the dataset where, minimum support is 0.01 and confidence is 0.2. Remove all the redundant rules and sort them on…