• Descriptive Mining for the QSAR Problem 

      Dumitriu, Luminiţa; Crăciun, Marian; Segal, Cristina; Georgescu, Lucian ("Dunarea de Jos" University of Galati, 2005)
      There are several approaches in trying to solve the Quantitative Structure-Activity (QSAR) problem. These approaches are based either on statistical methods or on predictive data mining using neural networks. Among the ...
    • Experimental Studies Regarding the Implementation Possibilies of a Quality Control System for Ceramic Products in Continuous Flux Production 

      Potecașu, Tiberiu; Potecașu, octavian; Alexandru, Petrică; Dumitriu, Luminița; Silva, Rui (Universitatea "Dunărea de Jos" din Galați, 2009)
      In the current paper the authors studied the possibilities and limitations of a system intended to evaluate the quality of ceramic products directly on the production line. The system is based on a data mining specific ...
    • Finding Exception for Association Rules Via SQL Queries 

      Dumitru, Luminiţa ("Dunarea de Jos" University Galati, 2000)
      Finding association rules is mainly based on generating larger and larger frequent set candidates, starting from frequent attributes in the database. The frequent sets can be organised as a part of a lattice of concepts ...
    • Integrating Data Mining Into Business Intelligence 

      Enache, Maria Cristina (Universitatea "Dunărea de Jos" din Galaţi, 2006)
      Data Mining is a broad term often used to describe the process of using database technology, modeling techniques, statistical analysis, and machine learning to analyze large amounts of data in an automated fashion to ...