Statistics and data mining: intersecting disciplines

Statistics and data mining have much in common, but they also have differences. The nature of the two disciplines is examined, with emphasis on their similarities and differences.

[1]  Stephen Senn,et al.  Mathematics Governess or Handmaiden , 1998 .

[2]  Greenwood,et al.  Statistics and Mathematics , 1946 .

[3]  Heikki Mannila,et al.  Proceedings of the Third International Conference on Knowledge Discovery and Data Mining , 1997 .

[4]  J. A. Nelder,et al.  Discussion on the papers on 'Statistics and mathematics' , 1998 .

[5]  Heikki Mannila,et al.  Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining , 1997 .

[6]  I. Jolliffe,et al.  Nonlinear Multivariate Analysis , 1992 .

[7]  Niall M. Adams,et al.  The impact of changing populations on classifier performance , 1999, KDD '99.

[8]  Jstor.  Journal of the Royal Statistical Society. Series D, (The statistician) , 1993 .

[9]  R. A. Bailey.  Statistics and Mathematics: The Appropriate Use of Mathematics within Statistics , 1998 .

[10]  Rakesh Agrawal,et al.  Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining , 1998, KDD 1998.

[11]  D. Hand.  Breaking Misconceptions—statistics and its Relationship to Mathematics , 1998 .

[12]  M. Hill,et al.  NONLINEAR MULTIVARIATE ANALYSIS , 1990 .

[13]  Daryl Pregibon,et al.  A Statistical Perspective on Knowledge Discovery in Databases , 1996, Advances in Knowledge Discovery and Data Mining.

[14]  David J. Hand,et al.  Data Mining: Statistics and More? , 1998 .

[15]  Padhraic Smyth,et al.  Statistical inference and data mining , 1996, CACM.

[16]  P. Sprent.  Statistics and Mathematics—trouble at the Interface? , 1998 .

[17]  D. Goodin.  The cambridge dictionary of statistics , 1999 .