A data mining method and data mining system

Abstract

The invention discloses a data mining method and a data mining system. The method includes the following steps of (A) data separation, (B) data sieving, (C) data iterative processing, (D) data normalization and (E) result judgment. The method and the system can overcome defects in the prior art, and processing speed of data mining with a large data quantity is remarkably increased by optimizing the data processing procedure.

Description

technical field

[0001] The invention belongs to the technical field of data mining, and relates to a data mining method and a data mining system. Background technique

[0002] Data mining (Data Mining, DM) is a hot issue in the field of artificial intelligence and database research. The so-called data mining refers to the non-trivial process of revealing hidden, previously unknown and potentially valuable information from a large amount of data in the database. . Data mining is a decision support process, which is mainly based on artificial intelligence, machine learning, pattern recognition, statistics, database, visualization technology, etc., to analyze enterprise data highly automatically, make inductive reasoning, and dig out potential The model helps decision makers adjust market strategies, reduce risks, and make correct decisions. Existing data mining methods generally have a large amount of calculation, and the problem of slow response often occurs when facing a d...

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