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» Discovering Case Knowledge Using Data Mining
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DEXAW
2005
IEEE
133views Database» more  DEXAW 2005»
13 years 12 months ago
Inductive Databases: Towards a New Generation of Databases for Knowledge Discovery
Data mining applications are typically used in the decision making process. The Knowledge Discovery Process (KDD process for short) is a typical iterative process, in which not on...
Rosa Meo
ICMLC
2010
Springer
13 years 8 months ago
Data mining model in analyzing portuguese studies as the second language acquisition
: Portuguese is specifically a difficult language with luxuriant tenses, and second language acquisition (SLA) is regarded as highly variable. Many (Chinese) students who learn Por...
Sam Chao, Fai Wong, CustoDio Cavaco Martins
BPM
2009
Springer
161views Business» more  BPM 2009»
14 years 4 months ago
Trace Clustering Based on Conserved Patterns: Towards Achieving Better Process Models
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
KDD
2004
ACM
148views Data Mining» more  KDD 2004»
14 years 10 months ago
Interestingness of frequent itemsets using Bayesian networks as background knowledge
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
Szymon Jaroszewicz, Dan A. Simovici
PAKDD
2010
ACM
173views Data Mining» more  PAKDD 2010»
13 years 8 months ago
Distributed Knowledge Discovery with Non Linear Dimensionality Reduction
Data mining tasks results are usually improved by reducing the dimensionality of data. This improvement however is achieved harder in the case that data lay on a non linear manifol...
Panagis Magdalinos, Michalis Vazirgiannis, Dialect...