A Survey of Data Mining Techniques for Smart Museum Applications

This research aims to find out what data mining techniques are effectively implemented in museums and application trends currently being used improve museum performance towards modern based on intelligent system technology. The review was carried a number of articles found journals proceedings the 2004-2020 period. It is that majority virtual guide applications, recommender systems, collection clustering classification system, visitor behaviour prediction application. Data classification, clustering, technique commonly for Collections with historical artistic value contain lot knowledge making an important be included various applications so they can have impact achievement goals not only fields education culture but also economics business.