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EDM
2009
116views Data Mining» more  EDM 2009»
14 years 9 months ago
Determining the Significance of Item Order In Randomized Problem Sets
Researchers who make tutoring systems would like to know which sequences of educational content lead to the most effective learning by their students. The majority of data collecte...
Zachary A. Pardos, Neil T. Heffernan
JIIS
2006
124views more  JIIS 2006»
14 years 11 months ago
An efficient approach to mining indirect associations
Discovering association rules is one of the important tasks in data mining. While most of the existing algorithms are developed for efficient mining of frequent patterns, it has be...
Qian Wan, Aijun An
AAAI
1996
15 years 1 months ago
Discovering Robust Knowledge from Dynamic Closed World Data
Many applications of knowledge discovery require the knowledge to be consistent with data. Examples include discovering rules for query optimization, database integration, decisio...
Chun-Nan Hsu, Craig A. Knoblock
DATAMINE
1998
106views more  DATAMINE 1998»
14 years 11 months ago
Discovering Robust Knowledge from Databases that Change
Many applications of knowledge discovery and data mining such as rule discovery for semantic query optimization, database integration and decision support, require the knowledge t...
Chun-Nan Hsu, Craig A. Knoblock
KDD
1995
ACM
104views Data Mining» more  KDD 1995»
15 years 3 months ago
Using Rough Sets as Tools for Knowledge Discovery
An attribute-oriented rough set method for knowledgediscovery in databases is described. Themethodis based on information generalization, whichexaminesthe data at various levels o...
Ning Shan, Wojciech Ziarko, Howard J. Hamilton, Ni...