Data mining applications in public organizations

The purpose of the paper is to present a survey on data mining applications in public organizations. Search of the scientific data bases and Internet has revealed that most of the applications are described in the current year at the business web sites. Finance and economics, healthcare, criminal justice and defense are the most popular application areas. Classification and prediction, concept/class description and evolution analysis are the most often used methods.

[1]  R. Sund.  Utilization of Administrative Registers using Statistical Knowledge Discovery , 2002 .

[2]  Jana Zvárová,et al.  Information society in Czech healthcare 'starting point' to prognosis for the year 2013 , 2002, Int. J. Medical Informatics.

[3]  Michael S. Waterman,et al.  Introduction to Computational Biology: Maps, Sequences and Genomes , 1998 .

[4]  Jing Luan.  Data Mining as Driven by Knowledge Management in Higher Education-Persistence Clustering And Prediction , 2002 .

[5]  James V. Hansen,et al.  Neural networks and traditional time series methods: a synergistic combination in state economic forecasts , 1997, IEEE Trans. Neural Networks.

[6]  Willi Klösgen,et al.  Census Data Mining – An Application , 2002 .

[7]  Eric R. Ziegel,et al.  Mastering Data Mining , 2001, Technometrics.

[8]  Petra Perner,et al.  Data Mining - Concepts and Techniques , 2002, Künstliche Intell..

[9]  Elske Ammenwerth,et al.  Health care in the information society. A prognosis for the year 2013 , 2002, Int. J. Medical Informatics.

[10]  R. Higgins.  Analysis for Financial Management , 2004 .

[11]  Lisa Talbot,et al.  Data Mining for Improving Intrusion Detection , 2000 .

[12]  Hsinchun Chen,et al.  Using Coplink to Analyze Criminal-Justice Data , 2002, Computer.

[13]  K. R. Pemble,et al.  The National Emergency Medical Extranet project. , 2003, The Journal of emergency medicine.

[14]  Raúl E. Valdés-Pérez,et al.  Principles of Human Computer Collaboration for Knowledge Discovery in Science , 1999, Artif. Intell..

[15]  Dan Gusfield.  Algorithms on Strings, Trees, and Sequences - Computer Science and Computational Biology , 1997 .

[16]  Rob Mattison,et al.  Data Warehousing and Data Mining for Telecommunications , 1997 .

[17]  Hsinchun Chen,et al.  Digital Government: technologies and practices , 2003, Decis. Support Syst..