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AUSDM
2006
Springer
145views Data Mining» more  AUSDM 2006»
15 years 1 months ago
Discover Knowledge From Distribution Maps Using Bayesian Networks
This paper applies a Bayesian network to model multi criteria distribution maps and to discover knowledge contained in spatial data. The procedure consists of three steps: pre pro...
Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Les...
CBMS
2006
IEEE
15 years 3 months ago
An Infrastructure of Stream Data Mining, Fusion and Management for Monitored Patients
This paper proposes an infrastructure for data mining, fusion and patient care management using continuous stream data monitored from critically ill patients. Stream data mining, ...
Hyoil Han, Han C. Ryoo, Herbert Patrick
ACSC
2004
IEEE
15 years 1 months ago
Detecting Privacy and Ethical Sensitivity in Data Mining Results
Knowledge discovery allows considerable insight into data. This brings with it the inherent risk that what is inferred may be private or ethically sensitive. The process of genera...
Peter Fule, John F. Roddick
103
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KDD
2007
ACM
182views Data Mining» more  KDD 2007»
15 years 10 months ago
Cleaning disguised missing data: a heuristic approach
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
Ming Hua, Jian Pei
IDA
2008
Springer
14 years 9 months ago
Symbolic methodology for numeric data mining
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
Boris Kovalerchuk, Evgenii Vityaev