原题链接:PAT 1158 Telefraud Detection (25分)(电话欺诈检测)
关键词:并查集
参考的浒鱼鱼的博客:19春第三题 PAT甲级 1158 Telefraud Detection (25分) 用这个方法最好
Telefraud(电信诈骗) remains a common and persistent problem in our society. In some cases, unsuspecting victims lose their entire life savings. To stop this crime, you are supposed to write a program to detect those suspects from a huge amount of phone call records.
A person must be detected as a suspect if he/she makes more than K short phone calls to different people everyday, but no more than 20% of these people would call back. And more, if two suspects are calling each other, we say they might belong to the same gang. A makes a short phone call to B means that the total duration of the calls from A to B is no more than 5 minutes.
Input Specification:
Each input file contains one test case. For each case, the first line gives 3 positive integers K (≤500, the threshold(阈值) of the amount of short phone calls), N (≤10^3, the number of different phone numbers), and M (≤10^5, the number of phone call records). Then M lines of one day’s records are given, each in the format:
caller receiver duration
where caller and receiver are numbered from 1 to N, and duration is no more than 1440 minutes in a day.
Output Specification:
Print in each line all the detected suspects in a gang, in ascending order of their numbers. The gangs are printed in ascending order of their first members. The numbers in a line must be separated by exactly 1 space, and there must be no extra space at the beginning or the end of the line.
If no one is detected, output None instead.
Sample Input 1:
5 15 31
1 4 2
1 5 2
1 5 4
1 7 5
1 8 3
1 9 1
1 6 5
1 15 2
1 15 5
3 2 2
3 5 15
3 13 1
3 12 1
3 14 1
3 10 2
3 11 5
5 2 1
5 3 10
5 1 1
5 7 2
5 6 1
5 13 4
5 15 1
11 10 5
12 14 1
6 1 1
6 9 2
6 10 5
6 11 2
6 12 1
6 13 1
Sample Output 1:
3 5
6
Note: In sample 1, although 1 had 9 records, but there were 7 distinct receivers, among which 5 and 15 both had conversations lasted more than 5 minutes in total. Hence 1had made 5 short phone calls and didn’t exceed the threshold 5, and therefore is not a suspect.
Sample Input 2:
5 7 8
1 2 1
1 3 1
1 4 1
1 5 1
1 6 1
1 7 1
2 1 1
3 1 1
Sample Output 2:
None
1034 Head of a Gang (30分):
两种做法:
(1)并查集
(2)DFS
给定以下条件,作为电信诈骗团伙的判断:
根据通话记录,找到团伙的成员,按照从小到大的序号输出成员编号。
1.这道题适合用并查集:A和B关联,B和C关联,则认为A和C关联。
2.并查集在近三年的考题里就出现过这一次,最有效率的方式是能熟练运用两个并查集算法的函数:
int Findfather(int v){//这个递归写法最简单,而且包含路径压缩
return v==father[v] ? v : (father[v] = Findfather(v));
//注意赋值运算符=的优先级没有三元运算符?:高,这里要加括号。
//引用来源:https://zhuanlan.zhihu.com/p/93647900
}
void Union(int a,int b){
int faA = Findfather(a);
int faB = Findfather(b);
if(faA < faB){//这个得按照题目的意思变
father[faA] = faB;
}else if(faA > faB){
father[faB] = faA;
}
}
代码:
#include
using namespace std;
const int maxn = 1000 + 10;
int cnt[maxn][maxn];
vector<int> vs;
int parents[maxn];
int finds(int x){
return x == parents[x] ? x: parents[x] = finds(parents[x]);
}
int main()
{
int k, n, m;
scanf("%d %d %d", &k, &n, &m);
for(int i = 0; i < m; ++i){
int c, r, d;
scanf("%d %d %d", &c, &r,&d);
cnt[c][r] += d;
}
for(int i = 1; i <= n; ++i){
int sum = 0, rsum = 0;
for(int j = 1; j <= n; ++j){
if(cnt[i][j] > 0 && cnt[i][j] <= 5) {
++sum;
if(cnt[j][i] > 0) ++rsum;//统计回电话人数
}
}
if(sum > k ){
vs.push_back(i);
if(sum > 0 && 1.0 * rsum / sum > 0.2) vs.pop_back();//去除回电话数大于20%的嫌疑人
}
}
for(int i = 1; i <= n; ++i){
parents[i] = i;
}
int sz = vs.size();
for(int i = 0; i < sz; ++i){
for(int j = i + 1; j < sz; ++j){
if(cnt[vs[i]][vs[j]] > 0 && cnt[vs[j]][vs[i]] > 0){//嫌疑人之间有相互联系
int L1 = finds(vs[i]), L2 = finds(vs[j]);
if(L1 != L2){
if(L1 < L2) swap(L1, L2);
parents[L1] = L2;//小的编号作为leader
}
}
}
}
map<int, vector<int>> mp;
for(int i = 0; i < sz; ++i){
int L = finds(vs[i]);
mp[L].push_back(vs[i]);
}
if(mp.size() == 0){
printf("None\n");
return 0;
}
for(auto x: mp){
sort(x.second.begin(), x.second.end());//gang内排序
int kk = x.second.size();
for(int i = 0; i < kk; ++i){
printf("%d%c", x.second[i], i == kk - 1? '\n': ' ');
}
}
return 0;
}
//https://blog.csdn.net/gl486546/article/details/88102211?utm_medium=distribute.pc_relevant_t0.none-task-blog-BlogCommendFromMachineLearnPai2-1.nonecase&depth_1-utm_source=distribute.pc_relevant_t0.none-task-blog-BlogCommendFromMachineLearnPai2-1.nonecase