Browsing by Subject "Formal concept analysis"
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A novel Conceptual Machine Learning Method using Random Conceptual Decomposition
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Formal Concept Analysis (FCA) is emerging in Data Science because of its generality, simplicity, and powerful mathematical foundation. It enabled a uniform data clustering methods into structured space of formal concepts. ... -
Breast cancer image classification using pattern-based Hyper Conceptual Sampling method
( Elsevier Ltd , 2018 , Article)The increase in biomedical data has given rise to the need for developing data sampling techniques. With the emergence of big data and the rise of popularity of data science, sampling or reduction techniques have been ... -
Conceptual data sampling for breast cancer histology image classification
( Elsevier Ltd , 2017 , Article)Data analytics have become increasingly complicated as the amount of data has increased. One technique that is used to enable data analytics in large datasets is data sampling, in which a portion of the data is selected ... -
Inference engine based on closure and join operators over Truth Table Binary Relations
( Elsevier Inc. , 2014 , Article)Abstract We propose a conceptual reasoning method for an inference engine. Starting from a knowledge base made of decision rules, we first map each rule to its corresponding Truth Table Binary Relation (TTBR), considered ... -
Uncertain training data set conceptual reduction: A machine learning perspective
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Knowledge discovery from data is a challenging problem that has significant importance in many different fields such as biology, economics and social sciences. Real-world data is incomplete and ambiguous; moreover, its ...