Data mining

Abstract

Mountainous amounts of data records are now available in science, business, industry and many other areas. Such data can provide a rich resource for knowledge discovery and decision support. Data mining is the process of identifying interesting patterns from large databases. Data mining is the core part of the knowledge discovery in database (KDD) process. The KDD process may consist of the following steps: data selection, data cleaning, data transformation, pattern searching (data mining), finding presentation, finding interpretation and finding evaluation. The paper discusses some tasks, techniques and applications of data mining.