Handbook of Data Mining and Knowledge Discovery

By C. Mann. 2004

346 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Handbook of Granular Computing (2008, methodology): “According to [35], triplex arithmetic started out as a project initiated in 1966 at the University of Karlsruhe to develop a compiler and demonstrate its usefulness for solution to problems in numerical analysis.”
An overview on subgroup discovery: foundations and applications (2011, background): “Different quality measures have been presented in the specialised bibliography [45,70,74,84], but there is no consensus about which are the most suitable for use in subgroup discovery.”
A survey of Knowledge Discovery and Data Mining process models (2006, background): “An overview of several modern commercial KDDM systems that provide extensive DM support can be found in Klosgen & Zytkow (2002).”
Educational data mining: A survey from 1995 to 2005 (2007, methodology): “Data mining or knowledge discovery in databases (KDD) is the automatic extraction of implicit and interesting patterns from large data collections (Klosgen & Zytkow, 2002).”
Data mining in course management systems: Moodle case study and tutorial (2008, neutral): “Data mining has a number of representation formalisms such as probabilities, rules and trees. and a number of tasks and methods from machine learning, statistics, visualization and artificial intelligence (Klosgen & Zytkow, 2002).”