Sciweavers

2919 search results - page 459 / 584
» Data Modeling Is Important for SOA
Sort
View
ICDM
2008
IEEE
107views Data Mining» more  ICDM 2008»
16 years 2 days ago
Graph-Based Iterative Hybrid Feature Selection
When the number of labeled examples is limited, traditional supervised feature selection techniques often fail due to sample selection bias or unrepresentative sample problem. To ...
ErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, J...
SAC
2006
ACM
15 years 11 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
175
Voted
CINQ
2004
Springer
189views Database» more  CINQ 2004»
15 years 11 months ago
Employing Inductive Databases in Concrete Applications
In this paper we present the application of the inductive database approach to two practical analytical case studies: Web usage mining in Web logs and financial data. As far as co...
Rosa Meo, Pier Luca Lanzi, Maristella Matera, Dani...
169
Voted
SIGMOD
1999
ACM
122views Database» more  SIGMOD 1999»
15 years 10 months ago
BOAT-Optimistic Decision Tree Construction
Classification is an important data mining problem. Given a training database of records, each tagged with a class label, the goal of classification is to build a concise model ...
Johannes Gehrke, Venkatesh Ganti, Raghu Ramakrishn...
AAAI
2007
15 years 8 months ago
Predictive Exploration for Autonomous Science
Often remote investigations use autonomous agents to observe an environment on behalf of absent scientists. Predictive exploration improves these systems’ efficiency with onboa...
David R. Thompson