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» Data Mining: Machine Learning, Statistics, and Databases
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GECCO
2004
Springer
127views Optimization» more  GECCO 2004»
15 years 6 months ago
Improved Niching and Encoding Strategies for Clustering Noisy Data Sets
Clustering is crucial to many applications in pattern recognition, data mining, and machine learning. Evolutionary techniques have been used with success in clustering, but most su...
Olfa Nasraoui, Elizabeth Leon
AUSDM
2007
Springer
140views Data Mining» more  AUSDM 2007»
15 years 7 months ago
The application of data mining techniques to characterize agricultural soil profiles
The advances in computing and information storage have provided vast amounts of data. The challenge has been to extract knowledge from this raw data; this has lead to new methods ...
Leisa Armstrong, Dean Diepeveen, Rowan Maddern
SSD
2007
Springer
131views Database» more  SSD 2007»
15 years 7 months ago
Efficiently Mining Regional Outliers in Spatial Data
With the increasing availability of spatial data in many applications, spatial clustering and outlier detection has received a lot of attention in the database and data mining comm...
Richard Frank, Wen Jin, Martin Ester
ICDE
2009
IEEE
132views Database» more  ICDE 2009»
16 years 3 months ago
Using Anonymized Data for Classification
In recent years, anonymization methods have emerged as an important tool to preserve individual privacy when releasing privacy sensitive data sets. This interest in anonymization t...
Ali Inan, Murat Kantarcioglu, Elisa Bertino
KES
2008
Springer
15 years 1 months ago
Classification and Retrieval through Semantic Kernels
Abstract. This work proposes a family of language-independent semantic kernel functions defined for individuals in an ontology. This allows exploiting wellfounded kernel methods fo...
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito