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SADM
2008
90views more  SADM 2008»
13 years 8 months ago
ORIGAMI: A Novel and Effective Approach for Mining Representative Orthogonal Graph Patterns
: In this paper, we introduce the concept of -orthogonal patterns to mine a representative set of graph patterns. Intuitively, two graph patterns are -orthogonal if their similarit...
Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, J&e...
AUSDM
2007
Springer
164views Data Mining» more  AUSDM 2007»
14 years 3 months ago
SemGrAM - Integrating Semantic Graphs into Association Rule Mining
To date, most association rule mining algorithms have assumed that the domains of items are either discrete or, in a limited number of cases, hierarchical, categorical or linear. ...
John F. Roddick, Peter Fule
NOMS
2006
IEEE
14 years 2 months ago
Predicting Machine Availabilities in Desktop Pools
—This paper describes a study of predicting machine availabilities and user presence in a pool of desktop computers. The study is based on historical traces collected from 32 mac...
Artur Andrzejak, Patrício Domingues, Lu&iac...
KDD
1998
ACM
99views Data Mining» more  KDD 1998»
14 years 1 months ago
Learning to Predict the Duration of an Automobile Trip
In this paper, weexplore the use of machinelearning and data mining to improvethe prediction of travel times in an automobile. Weconsider two formulations of this problem, one tha...
Simon Handley, Pat Langley, Folke A. Rauscher
KDD
1998
ACM
212views Data Mining» more  KDD 1998»
14 years 1 months ago
Learning to Predict Rare Events in Event Sequences
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
Gary M. Weiss, Haym Hirsh