TABLE OF CONTENTS Yoav Benjamini
Department of Statistics, School of Mathematical Sciences, Sackler Faculty for Exact Sciences
Tel Aviv University
ybenja@post.tau.ac.il
Moshe Leshno
Faculty of Management and Sackler Faculty of Medicine
Tel Aviv University
leshnom@post.tau.ac.il
| Abstract | The aim of this chapter is to present the main statistical issues in Data Mining (DM) and Knowledge Data Discovery (KDD) and to examine whether traditional statistics approach and methods substantially differ from the new trend of KDD and DM. We address and emphasize some central issues of statistics which are highly relevant to DM and have much to offer to DM. |
| Keywords: | Statistics, Regression Models, False Discovery Rate (FDR), Model selection and False Discovery Rate (FDR) |
In the words of anonymous saying there are two problems in modern science: too many people using different terminology to solve the same problems and even more people using the same terminology to address completely different issues. This is particularly relevant to the relationship between traditional statistics and the new emerging field of knowledge data discovery (KDD) and Data Mining (DM). The explosive growth of interest and research in the domain of KDD and DM of...
