Paper Title
Data Mining: Trend Of The Development Of Non-Destructive Evaluation Techniques

Abstract
Abstract— Nowadays NDT industry can store vast amounts of data obtained at a relatively low cost, although these data may fail to provide information. NDT Enterprises are adapting new technologies as- Data warehouses, large repositories that integrates data from several sources in an organization for analysis, Online analytical processing (OLAP) systems, which provide fast answers for queries that aggregate large amounts of detail data to find overall trends, Data mining applications, that seek to discover knowledge by searching semi-automatically for previously unknown patterns and relationships in NDT Enterprises. This paper also document about the ways and means of transforming the NDT workplace also into a research entity and focuses the techniques for faster inspections with a higher probability of detection. This means reduced downtime, lower costs and higher confidence for even the most difficult inspection problems.