R. Preetha
Noorul Islam University
Statistical classificationMachine learningSupport vector machineMulticlass classificationFeature selectionArtificial intelligencePattern recognitionClustering high-dimensional dataStandardizationRange (mathematics)BiopsyFine-needle aspirationFuzzy ruleMammographyNeuro-fuzzyComputer scienceDigital imageEnsemble learningFeature extractionBreast cancerPerceptronCluster analysisDifferential evolutionMargin (machine learning)Identification (information)Selection (genetic algorithm)Feature vectorDecision tree
3Publications
1H-index
3Citations
Publications 3
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#1R. PreethaH-Index: 1
#2S. Vinila Jinny (Noorul Islam University)H-Index: 2
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In recent years, breast cancer is recognized as critical disease that needs to be detected at early stage. Breast cancer can be detected either by mammography or biopsy technique. Biopsy is cost effective procedure for breast cancer detection. Fine needle aspiration (FNA) digital image is pre-processed and extracted features from it used for classification. Based on the parameters of feature attributes, they are classified into two classes: malignant (cancerous) and benign (not cancerous) tumor ...
3 CitationsSource
#1R. Preetha (Noorul Islam University)H-Index: 1
#2S. Vinila Jinny (Noorul Islam University)H-Index: 2
view all 2 authors...
Abstract null null Breast-cancer, which seems to be the main disease causing dramatic affection for women in particular, is an important global concern nowadays for women. Breast-cancer diagnosis in earlier stages must save somebody's career as well as the considerable range of conditions of Breast-cancer is improved day by day by inappropriate diet, contamination and improper style of life, and other genetic disorders. The primary source of infection is the breast severity in the breast region,...
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#1R. PreethaH-Index: 1
#2S. Vinila Jinny (Noorul Islam University)H-Index: 2
In information processing industry, mining techniques plays a major role to analyze the huge dataset. Information/Data-Mining is a extraction-progression meaningful information from the dataset. The major steps in data mining are pre-processing, mining and result validation. Classification is one of an important methodology to detect disease for the humans. There are lots of algorithms for classification. Feature selection is a useful method for classification and clustering. This work aims to c...
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