testfpgrowth.cpp

来自「基于模式增长的关联规则数据挖掘算法」· C++ 代码 · 共 47 行

CPP
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/*----------------------------------------------------------------------  File     : testfpgrowth.cpp  Contents : FP-growth algorithm for finding frequent sets  Author   : Bart Goethals  Update   : 04/04/2003----------------------------------------------------------------------*/#include <iostream>using namespace std;#include <stdlib.h>#include <time.h>#include "data.h"#include "item.h"#include "fptree.h"#include "fpgrowth.h"int main(int argc, char *argv[]){  cout << "FP-growth frequent itemset mining implementation" << endl;  cout << "by Bart Goethals, 2000-2003" << endl;  cout << "http://www.cs.helsinki.fi/u/goethals/" << endl << endl;    if(argc < 4){    cerr << "usage: " << argv[0] << " datafile datatype minsup [output]" << endl;    cerr << "datatype = 1 for Quest datagenerator binary" << endl;    cerr << "datatype = 2 for Quest datagenerator ascii" << endl;    cerr << "datatype = 3 for flat, i.e. all items per transaction on a single line" << endl;    cerr << "datatype = 4 for ascii version of Quest datagenerator binary" << endl;  }  else{    FPgrowth *fpgrowth = new FPgrowth();        fpgrowth->setData(argv[1],atoi(argv[2]));    fpgrowth->setMinsup(atoi(argv[3]));    if(argc==5) fpgrowth->setOutput(argv[4]);        clock_t start = clock();    int added = fpgrowth->mine();    cout << added << "\t[" << (clock()-start)/double(CLOCKS_PER_SEC) << "s]" << endl;    if(argc==5) cout << "Frequent sets written to " << argv[4] << endl;        delete fpgrowth;  }    return 0;}

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