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» Evaluation of Sampling for Data Mining of Association Rules
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ACIIDS
2009
IEEE
162views Database» more  ACIIDS 2009»
15 years 5 months ago
Deriving Conceptual Schema from XML Databases
In this paper, two concepts from different research areas are addressed together, namely functional dependency (FD) and multidimensional association rule (MAR). FD is a class of i...
Oviliani Yenty Yuliana, Suphamit Chittayasothorn
DMIN
2006
144views Data Mining» more  DMIN 2006»
15 years 2 months ago
Discovering Assignment Rules in Workforce Schedules Using Data Mining
Discovering hidden patterns in large sets of workforce schedules to gain insight into the potential knowledge in workforce schedules are crucial to better understanding the workfor...
Jihong Yan
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
15 years 5 months ago
Improving data mining utility with projective sampling
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
Mark Last
KBS
2006
79views more  KBS 2006»
15 years 16 days ago
Using multiple and negative target rules to make classifiers more understandable
One major goal for data mining is to understand data. Rule based methods are better than other methods in making mining results comprehensible. However, the current rule based cla...
Jiuyong Li, Jason Jones
DAGSTUHL
2003
15 years 2 months ago
Logical Languages for Data Mining
Data mining focuses on the development of methods and algorithms for such tasks as classification, clustering, rule induction, and discovery of associations. In the database fiel...
Fosca Giannotti, Giuseppe Manco, Jef Wijsen