public function __construct($data)
{
//Transactions Array passed
if (isset($data["transactions"])) {
$transactions = $data["transactions"];
}
//Text file Passed
if (isset($data["file"])) {
self::$stopwords = self::get_stopwords();
$transactions = self::parse_file($data["file"]);
}
//Transactions are Empty
if (empty($transactions)) {
echo "Transactions are Empty, what are you going to do about it?";
exit;
}
//Set Transactions
self::$transactions = $transactions;
//Set Amount of Transactions
self::$total_transactions = count($transactions);
//Remove duplicates from Transactions
self::$transactions = self::remove_duplicates(self::$transactions);
//Find concepts from Transactions
self::$concepts = self::find_concepts(self::$transactions);
//Find combinations from Concepts
self::$combinations = self::find_combinations(self::$concepts);
//Find support for Combinations
self::$combinations = self::find_support(self::$combinations, self::$transactions);
//Find confidence for Concepts
self::$combinations = self::find_confidence(self::$combinations, self::$transactions);
}
public function index()
{
$minSupp = 50;
//minimal support
$minConf = 90;
//minimal confidence
$type = Apriori::SRC_PLAIN;
//data type
$recomFor = 'beer';
//recommendation for
$dataFile = 'data.json.gz';
//file for saving of state
//transactions
$file = fopen(public_path('db/1000.inp.txt'), 'r');
$data = [];
while (!feof($file)) {
$line = fgets($file);
if ($line) {
$db = explode(' ', $line);
if ($db) {
$data[] = implode(',', $db);
}
}
}
// $data = array(
// 'bread, milk',
// 'sugar, milk, beer',
// 'bread',
// 'bread, milk, beer',
// 'sugar, milk, beer'
// ); //id(items)
try {
$start = microtime(true);
$apri = new Apriori($type, $data, $minSupp, $minConf);
$apri->solve()->generateRules()->displayRules();
//save state with rules
$time_elapsed_secs = microtime(true) - $start;
echo 'Time: ' . $time_elapsed_secs;
} catch (Exception $exc) {
echo $exc->getMessage();
}
return View::make('home.index');
}
<!DOCTYPE HTML>
<html>
<head>
<meta http-equiv="content-type" content="text/html; charset=utf-8" />
<title>Apriori Alghoritm</title>
</head>
<body style="font-family: monospace;">
<pre>
<?php
include 'Apriori.php';
$Apriori = new Apriori();
$Apriori->setMaxScan(3);
$Apriori->setMinSup(2);
$Apriori->setMinConf(100);
$Apriori->setDelimiter(',');
$Apriori->process('fichier.txt');
//Frequent Itemsets
echo '<h1>Frequent Itemsets</h1>';
$Apriori->printFreqItemsets();
echo '<h3>Frequent Itemsets Array</h3>';
print_r($Apriori->getFreqItemsets());
//Association Rules
echo '<h1>Association Rules</h1>';
$Apriori->printAssociationRules();
echo '<h3>Association Rules Array</h3>';
print_r($Apriori->getAssociationRules());
//Sauvegarde dans les fichiers
$Apriori->saveFreqItemsets('freqItemsets.txt');
$Apriori->saveAssociationRules('associationRules.txt');
?>
</pre>
}
}
}
function get_salary_range($salary)
{
if ($salary < 30000) {
return 'salary- <30k$ ';
} else {
if ($salary > 30000 and $salary < 60000) {
return 'salary-between 30k$ and 60k$';
} else {
return 'salary-more than 60$k';
}
}
}
$Apriori = new Apriori();
$Apriori->setMaxScan(20);
//Scan 2, 3, ...
$Apriori->setMinSup(2);
//Minimum support 1, 2, 3, ...
$Apriori->setMinConf(30);
//Minimum confidence - Percent 1, 2, ..., 100
$Apriori->setDelimiter(',');
//Delimiter
$dataset = array();
$conn = mysql_connect('localhost', 'root', '');
if ($conn) {
if (mysql_select_db('olx', $conn)) {
$result = mysql_query("SELECT age,gender,salary,pid FROM user,cart,products WHERE pid=id and user_id=uid", $conn);
if (!mysql_num_rows($result)) {
$err = 'No product available';
}
if (count($set) != 0) {
array_push($dataset, $set);
}
}
if (isset($_POST['submitParameters'])) {
$Apriori = new Apriori();
$Apriori->setMaxScan($_POST['maximumScan']);
//Scan 2, 3, ...
$Apriori->setMinSup($_POST['minimumSupport']);
//Minimum support 1, 2, 3, ...
$Apriori->setDelimiter(',');
//Delimiter
$Apriori->process($dataset);
} else {
$Apriori = new Apriori();
//default values
$Apriori->setMaxScan(100);
//Scan 2, 3, ...
$Apriori->setMinSup(3);
//Minimum support 1, 2, 3, ...
$Apriori->setMinConf(75);
//Minimum confidence - Percent 1, 2, ..., 100
$Apriori->setDelimiter(',');
//Delimiter
$Apriori->process($dataset);
}
?>
<pre>
<?php
// print_r($dataset);
