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» Approximate data mining in very large relational data
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SIGMOD
2000
ACM
173views Database» more  SIGMOD 2000»
13 years 11 months ago
Efficient Algorithms for Mining Outliers from Large Data Sets
In this paper, we propose a novel formulation for distance-based outliers that is based on the distance of a point from its kth nearest neighbor. We rank each point on the basis o...
Sridhar Ramaswamy, Rajeev Rastogi, Kyuseok Shim
SC
2005
ACM
14 years 29 days ago
PerfExplorer: A Performance Data Mining Framework For Large-Scale Parallel Computing
Parallel applications running on high-end computer systems manifest a complexity of performance phenomena. Tools to observe parallel performance attempt to capture these phenomena...
Kevin A. Huck, Allen D. Malony
ICDM
2008
IEEE
172views Data Mining» more  ICDM 2008»
14 years 1 months ago
Active Learning of Equivalence Relations by Minimizing the Expected Loss Using Constraint Inference
Selecting promising queries is the key to effective active learning. In this paper, we investigate selection techniques for the task of learning an equivalence relation where the ...
Steffen Rendle, Lars Schmidt-Thieme
KDD
2008
ACM
150views Data Mining» more  KDD 2008»
14 years 7 months ago
Hypergraph spectral learning for multi-label classification
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
Liang Sun, Shuiwang Ji, Jieping Ye
ICDE
1999
IEEE
148views Database» more  ICDE 1999»
14 years 8 months ago
Efficient Mining of Partial Periodic Patterns in Time Series Database
Partial periodicity search, i.e., search for partial periodic patterns in time-series databases, is an interesting data mining problem. Previous studies on periodicity search main...
Jiawei Han, Guozhu Dong, Yiwen Yin