Sciweavers

456 search results - page 10 / 92
» Discovering Associations in XML Data
Sort
View
KDD
1998
ACM
145views Data Mining» more  KDD 1998»
14 years 24 days ago
Coincidence Detection: A Fast Method for Discovering Higher-Order Correlations in Multidimensional Data
Wepresent a novel, fast methodfor associationminingill high-dimensionaldatasets. OurCoincidence Detection method, which combines random sampling and Chernoff-Hoeffding bounds with...
Evan W. Steeg, Derek A. Robinson, Ed Willis
DMIN
2006
144views Data Mining» more  DMIN 2006»
13 years 10 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
EDM
2010
145views Data Mining» more  EDM 2010»
13 years 10 months ago
Mining Rare Association Rules from e-Learning Data
Rare association rules are those that only appear infrequently even though they are highly associated with very specific data. In consequence, these rules can be very appropriate f...
Cristóbal Romero, José Raúl R...
KDD
2002
ACM
214views Data Mining» more  KDD 2002»
14 years 9 months ago
Privacy preserving association rule mining in vertically partitioned data
Privacy considerations often constrain data mining projects. This paper addresses the problem of association rule mining where transactions are distributed across sources. Each si...
Jaideep Vaidya, Chris Clifton
PVLDB
2008
157views more  PVLDB 2008»
13 years 7 months ago
SEDA: a system for search, exploration, discovery, and analysis of XML Data
Keyword search in XML repositories is a powerful tool for interactive data exploration. Much work has recently been done on making XML search aware of relationship information emb...
Andrey Balmin, Latha S. Colby, Emiran Curtmola, Qu...