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» Introduction to Data Mining and Knowledge Discovery
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MCS
2002
Springer
13 years 7 months ago
Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach
The increasing amount and complexity of data in toxicity prediction calls for new approaches based on hybrid intelligent methods for mining the data. This focus is required even mo...
Emilio Benfenati, Paolo Mazzatorta, Daniel Neagu, ...
VLDB
1998
ACM
192views Database» more  VLDB 1998»
13 years 11 months ago
Algorithms for Mining Distance-Based Outliers in Large Datasets
This paper deals with finding outliers (exceptions) in large, multidimensional datasets. The identification of outliers can lead to the discovery of truly unexpected knowledge in ...
Edwin M. Knorr, Raymond T. Ng
PAKDD
2000
ACM
128views Data Mining» more  PAKDD 2000»
13 years 11 months ago
Efficient Detection of Local Interactions in the Cascade Model
Detection of interactions among data items constitutes an essential part of knowledge discovery. The cascade model is a rule induction methodology using levelwise expansion of a la...
Takashi Okada
ICDM
2009
IEEE
161views Data Mining» more  ICDM 2009»
13 years 5 months ago
Understanding Climate Change Patterns with Multivariate Geovisualization
Climate change has been a challenging and urgent research problem for many related research fields. Climate change trends and patterns are complex, which may involve many factors a...
Hai Jin, Diansheng Guo
BMCBI
2010
153views more  BMCBI 2010»
13 years 7 months ago
Automatic symptom name normalization in clinical records of traditional Chinese medicine
Background: In recent years, Data Mining technology has been applied more than ever before in the field of traditional Chinese medicine (TCM) to discover regularities from the exp...
Yaqiang Wang, Zhonghua Yu, Yongguang Jiang, Kaikuo...