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Web Mining: Usage, Content, and Structure Analysis

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Web Usage Mining

Web Usage Mining refers to the process of extracting useful insights and patterns from user activity on the web. It involves analyzing web log data (such as user clicks, page visits, and interactions) to understand user behavior, improve website performance, and enhance user experience. Web usage mining typically includes three key steps:

  • Data Collection: Gathering data from web logs, cookies, browser history, and other online interactions.
  • Preprocessing: Cleaning and structuring the data to eliminate irrelevant information and make it suitable for analysis.
  • Pattern Discovery and Analysis: Applying data mining techniques (e.g., clustering, association rule mining, and classification) to discover trends, user navigation paths, and
... Continue reading "Web Mining: Usage, Content, and Structure Analysis" »

Operating System Concepts: Loaders, Memory, Processes, Synchronization

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Compile and Go Loaders

In this type of loader, the linker and loader instructions are read line by line, their machine code is obtained, and it is directly placed in the main memory at some known address. This means the assembler runs in one part of memory, and the assembled machine instructions and data are directly put into their assigned memory locations. After completion of the assembly process, the loader contains the instruction using which the location counter is set to the start of the newly assembled program. A typical example is WATFOR-77, a FORTRAN compiler which uses such a "load-and-go" scheme. This loading scheme is also called "assemble-and-go".

Advantages

  • Simplicity
  • Quick Testing
  • No Separate Linking
  • Immediate Feedback
  • Low Resource
... Continue reading "Operating System Concepts: Loaders, Memory, Processes, Synchronization" »

Python Exception Handling and File Modes Explained

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What is an Exception?

Answer: An exception in Python is an error that occurs during program execution, disrupting the normal flow of instructions. Instead of crashing, the program can "catch" the exception and handle it gracefully using try and except blocks. Common exceptions include ZeroDivisionError, IndexError, and FileNotFoundError. You can also define custom exceptions. The finally block can be used for cleanup actions, ensuring certain code runs regardless of whether an exception was raised.

Different Modes of Opening a File

Answer: Different Modes of Opening a File

1. Read Mode ('r')

  • Purpose: Opens a file for reading.
  • Behavior:
    • The file pointer is placed at the beginning of the file.
    • If the file does not exist, a FileNotFoundError is raised.
... Continue reading "Python Exception Handling and File Modes Explained" »

Discrete Mathematics Foundations: Sets, Logic, Graphs, and Proofs

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Speaking Mathematically: Core Concepts

The Language of Sets

  • ∀ - Universal quantifier (true for all values of a variable in a set)
  • ∃ - Existential quantifier (true for at least one value of a variable in a set)

Common Set Notations:

  • R - Set of all real numbers
  • Z - Set of all integers
  • Q - Set of all rational numbers
  • N - Set of all positive integers
  • (X)+- - Positive/negative elements for a specific set X

xS means that x is an element of the set S.

  • Example: x=5, S={1, 2, 3, 4, 5}

AB means that A is a subset of the set B.

  • Example: A={a,b}, B={a,b,c}
  • Example: {2} ∈ {1, 2, 3} is false; {2} ∈ {{1}, {2}} is true; 2 ⊆ {1, 2, 3} is false; {2} ⊆ {1, 2, 3} is true
  • Note: {9, 9, 1, 1, 7, 7} has only 3 distinct elements ({1, 7, 9}); {1, {2}} has 2 elements;
... Continue reading "Discrete Mathematics Foundations: Sets, Logic, Graphs, and Proofs" »

C Programming Examples: Code Snippets and Explanations

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C Programming Examples

Here are several C programming examples:

Vector Operations

#include <stdio.h>

void leVetor (int v [] , int tam );
int prodEscalar (int v1 [] , int v2 [] , int tam );

int main (void) {
    int v1 [ DIM ], int v2 [ DIM ];
    int i;
    int prod ;

    leVetor (v1 , DIM );
    leVetor (v2 , DIM );
    prod = prodEscalar (v1 , v2 , DIM );
    printf ("%d\n", prod );
    return 0;
}

void leVetor (int v [] , int tam ) {
    /* Completar */
}

int prodEscalar (int v1 [] , int v2 [] , int tam ) {
    /* Completar */
}

Random Number Generation

#include <stdio.h>
#include <time.h>
#include <stdlib.h>

#define VEZES 10

int main (void) {
    int i , j , k;
    double r;

    srand ( time ( NULL )); /* inicializa
... Continue reading "C Programming Examples: Code Snippets and Explanations" »

Java AWT: Button Events and Arrow Key Shape Movement

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Button Click Action Events

import java.awt.*;

import java.awt.event.*;

public class ButtonClickActionEvents

{

public static void main(String args[])

{

Frame f=new Frame("Button Event");

Label l=new Label("DETAILS OF PARENTS");

l.setFont(new Font("Calibri",Font.BOLD, 16));

Label nl=new Label();

Label dl=new Label();

Label al=new Label();

l.setBounds(20,20,500,50);

nl.setBounds(20,110,500,30);

dl.setBounds(20,150,500,30);

al.setBounds(20,190,500,30);

Button mb=new Button("Mother");

mb.setBounds(20,70,50,30);

mb.addActionListener(new ActionListener()

{

public void actionPerformed(ActionEvent e)

{

nl.setText("NAME: " + "Aishwarya");

dl.setText("DESIGNATION: " + "Professor");

al.setText("AGE: " + "42");

}

});

Button fb=new Button("Father");

fb.setBounds(80,70,50,30);

fb.addActionListener(

... Continue reading "Java AWT: Button Events and Arrow Key Shape Movement" »

Mastering Relational Algebra for Database Queries

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Relational Algebra Fundamentals

  • Relational Algebra is a mathematical query language used in databases.
  • The result of any operation is always another relation (table).

Relational Algebra Operations Explained

Unary Relational Operations

SELECT (σ) – Filters Rows

  • Retrieves specific rows from a table based on a condition.
  • Syntax: σ (condition) (Relation)
  • Example: σ (Dept_ID = 4) (EMPLOYEE)

PROJECT (π) – Filters Columns

  • Retrieves specific columns from a table.
  • Syntax: π (column1, column2) (Relation)
  • Example: π (Name, Salary) (EMPLOYEE)

RENAME (ρ) – Changes Table or Column Name

  • Syntax: ρ (NewTable (NewColumn1, NewColumn2), OldTable)
  • Example: ρ (Staff (Emp_ID, FullName), EMPLOYEE)

Set Theory Operations

UNION (∪) – Combines Two Tables

  • Combines tuples
... Continue reading "Mastering Relational Algebra for Database Queries" »

C Programming: Tokens, Operators, and Logic

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Tokens

In programming, a token is the smallest meaningful element in code. They are the building blocks of a language's syntax. Common token types include:

  • Keywords: Reserved words like if, else, while, and int (for declaring integers).
  • Identifiers: Names given to elements like variables (e.g., sum), functions, and arrays.
  • Constants: Unchanging values during program execution (e.g., 3.14 for pi).
  • Operators: Symbols for mathematical or logical operations (e.g., + for addition).
  • Separators: Punctuation like commas (,), semicolons (;), and braces ({}).

Example: int sum = 10 + 5;

In this line, int is a keyword, sum is an identifier, = is an operator, 10 and 5 are constants, and ; is a separator.

Arithmetic Operators

C has nine arithmetic operators for basic... Continue reading "C Programming: Tokens, Operators, and Logic" »

Dijkstra's Algorithm in C: Code & Explanation

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Dijkstra's Algorithm in C

This code implements Dijkstra's algorithm to find the shortest path from a source vertex to all other vertices in a graph represented as an adjacency matrix. The program reads graph data from an input.txt file and writes the results to an output.txt file.

Code Implementation


#include <stdio.h>
#include <limits.h>
#include <stdbool.h>

#define MAX_VERTICES 100

// Function to find the vertex with minimum distance
int minDistance(int dist[], bool visited[], int vertices) {
    int min = INT_MAX, min_index;

    for (int v = 0; v < vertices; v++)
        if (!visited[v] && dist[v] <= min) {
            min = dist[v];
            min_index = v;
        }

    return min_index;
}

// Dijkstra'
... Continue reading "Dijkstra's Algorithm in C: Code & Explanation" »

Data Structures: Queues, Trees, Graphs, and Searching Algorithms

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Understanding Data Structures and Algorithms

8. Queues: FIFO Operations

A queue is a linear data structure that follows the First-In, First-Out (FIFO) principle. The element inserted first will be removed first, similar to people waiting in a line. It has two primary operations:

  • enqueue(): Adds an element to the rear of the queue.
  • dequeue(): Removes an element from the front of the queue.

Enqueue Operation Algorithm (Array-based):

  1. Check if the queue is full (rear == size - 1).
  2. If not full, increment rear.
  3. Insert the new element at queue[rear].

Example:

if (rear == size - 1)
    printf("Queue Overflow");
else {
    rear++;
    queue[rear] = value;
}

Dequeue Operation Algorithm:

  1. Check if the queue is empty (front > rear).
  2. If not empty, retrieve the element
... Continue reading "Data Structures: Queues, Trees, Graphs, and Searching Algorithms" »