Advertisement
Published in:
2010 | OriginalPaper | Chapter
The Reliability Issue in Data Mining: The Case of Computer-Aided Breast Cancer Diagnosis
Author : Evangelos Triantaphyllou
Published in: Data Mining and Knowledge Discovery via Logic-Based Methods
Publisher: Springer US
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Almost any use of a data mining and
sub data mining
sub knowledge discovery, see
data mining
knowledge discovery method on a data set requires some discussion on the accuracy of the extracted model on some test data. This accuracy can be a general description of how well the extracted model classifies test data. Some studies split this
sub accuracy rate
accuracy rate into two rates: the
sub false-positive
false-positive and
sub false-negative
false-negative rates. This distinction might be more appropriate for most real-life applications. For instance, it is one thing to wrongly diagnose a benign tumor as malignant than the other way around. Related are some of the discussions in Sections 1.3.4, 4.5, and 11.6.