A data mining tool for learning from manufacturing systems

This paper describes a software tool, DBMine, developed to assist industrial engineers in data mining. This tool implements three common data mining methodologies: Baconʹs algorithm, Decision Trees and DB-Learn. Implemented in Microsoft Visual Basic 3.0©, DBMine, can utilize data in Microsoft Access 2.0© and in Watcom SQL© databases. This paper will also present an example session in which job shop sequences produced by a Genetic Algorithm are explored for regularity.