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MNP: A Class of NP Optimization Problems

Cheng Qi; Zhu Hong;   

  1. Department of Computer Science; Fudan University; Shanghai 200433;
  • Online:1997-07-10 Published:1997-07-10

A large class of NP optimization problems called MNP are studied. It is shown that Rmax(2) is in this class and some problems which are not likely in Rmax(2) are in this class. A new kind of reductions, SL-reductions, is defined to preserve approximability and nonapprokimability, so it is a more general version of L-reductions and A-reductions. Then some complete problems of this class under SL-reductions are shown and it is proved that the max-clique problem is one of them. So all complete problems in this class are as difficult to approximate as the max-clique problem.

Key words: data mining; association rule mining; frequent pattern mining; incremental mining;



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