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» Classifier Selection Based on Data Complexity Measures
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IPMI
2009
Springer
16 years 2 months ago
A Unified Framework for MR Based Disease Classification
In this paper, we employ an anatomical parameterization of spatial warps to reveal structural differences between medical images of healthy control subjects and disease patients. T...
Kilian M. Pohl, Mert R. Sabuncu
ESWS
2008
Springer
15 years 3 months ago
Adding Data Mining Support to SPARQL Via Statistical Relational Learning Methods
Exploiting the complex structure of relational data enables to build better models by taking into account the additional information provided by the links between objects. We exten...
Christoph Kiefer, Abraham Bernstein, André ...
MCS
2007
Springer
15 years 8 months ago
Selecting Diversifying Heuristics for Cluster Ensembles
Abstract. Cluster ensembles are deemed to be better than single clustering algorithms for discovering complex or noisy structures in data. Various heuristics for constructing such ...
Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
16 years 2 months ago
Time series shapelets: a new primitive for data mining
Classification of time series has been attracting great interest over the past decade. Recent empirical evidence has strongly suggested that the simple nearest neighbor algorithm ...
Lexiang Ye, Eamonn J. Keogh
109
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KRMED
2008
15 years 3 months ago
Exploiting Fast Classification of SNOMED CT for Query and Integration of Health Data
By constructing local extensions to SNOMED we aim to enrich existing medical and related data stores, simplify the expression of complex queries, and establish a foundation for se...
Michael Lawley