Ldv forum band 20 2005 19 hotho nrnberger and paa 11

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: of successful applications. LDV FORUM – Band 20 – 2005 19 Hotho, Nürnberger, and Paaß 1.1 Knowledge Discovery In literature we can find different definitions of the terms knowledge discovery or knowledge discovery in databases (KDD) and data mining. In order to distinguish data mining from KDD we define KDD according to Fayyad as follows (Fayyad et al. 1996): Knowledge Discovery in Databases (KDD) is the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data. The analysis of data in KDD aims at finding hidden patterns and connections in these data. By data we understand a quantity of facts, which can be, for instance, data in a database, but also data in a simple text file. Characteristics that can be used to measure the quality of the patterns found in the data are the comprehensibility for humans, validity in the context of given statistic measures, novelty and usefulness. Furthermore, different methods are able to discover not only new patterns but to produce at the same time generaliz...
View Full Document

This note was uploaded on 06/19/2011 for the course IT 2258 taught by Professor Aymenali during the Summer '11 term at Abu Dhabi University.

Ask a homework question - tutors are online