Supervised classification and mathematical optimization
E Carrizosa, DR Morales - Computers & Operations Research, 2013 - Elsevier
Data mining techniques often ask for the resolution of optimization problems. Supervised
classification, and, in particular, support vector machines, can be seen as a paradigmatic …
classification, and, in particular, support vector machines, can be seen as a paradigmatic …
Operations research and data mining
S Olafsson, X Li, S Wu - European journal of operational research, 2008 - Elsevier
With the rapid growth of databases in many modern enterprises data mining has become an
increasingly important approach for data analysis. The operations research community has …
increasingly important approach for data analysis. The operations research community has …
DNA barcoding of recently diverged species: relative performance of matching methods
Recently diverged species are challenging for identification, yet they are frequently of
special interest scientifically as well as from a regulatory perspective. DNA barcoding has …
special interest scientifically as well as from a regulatory perspective. DNA barcoding has …
DNA barcoding in plants: evolution and applications of in silico approaches and resources
M Bhargava, A Sharma - Molecular phylogenetics and evolution, 2013 - Elsevier
Bioinformatics has played an important role in the analysis of DNA barcoding data. The
process of DNA barcoding initially involves the available data collection from the existing …
process of DNA barcoding initially involves the available data collection from the existing …
Gene expression biomarkers in the brain of a mouse model for Alzheimer's disease: mining of microarray data by logic classification and feature selection
The identification of early and stage-specific biomarkers for Alzheimer's disease (AD) is
critical, as the development of disease-modification therapies may depend on the discovery …
critical, as the development of disease-modification therapies may depend on the discovery …
A new text categorization technique using distributional clustering and learning logic
H Al-Mubaid, SA Umair - IEEE Transactions on Knowledge and …, 2006 - ieeexplore.ieee.org
Text categorization is continuing to be one of the most researched NLP problems due to the
ever-increasing amounts of electronic documents and digital libraries. In this paper, we …
ever-increasing amounts of electronic documents and digital libraries. In this paper, we …
Supervised DNA Barcodes species classification: analysis, comparisons and results
Background Specific fragments, coming from short portions of DNA (eg, mitochondrial,
nuclear, and plastid sequences), have been defined as DNA Barcode and can be used as …
nuclear, and plastid sequences), have been defined as DNA Barcode and can be used as …
Learning to classify species with barcodes
Background According to many field experts, specimens classification based on
morphological keys needs to be supported with automated techniques based on the …
morphological keys needs to be supported with automated techniques based on the …
BLOG 2.0: a software system for character‐based species classification with DNA Barcode sequences. What it does, how to use it
BLOG (Barcoding with LOG ic) is a diagnostic and character‐based DNA Barcode analysis
method. Its aim is to classify specimens to species based on DNA Barcode sequences and …
method. Its aim is to classify specimens to species based on DNA Barcode sequences and …
Alzheimer's disease patients classification through EEG signals processing
Alzheimer's Disease (AD) and its preliminary stage-Mild Cognitive Impairment (MCI)-are the
most widespread neurodegenerative disorders, and their investigation remains an open …
most widespread neurodegenerative disorders, and their investigation remains an open …