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Full-Text Articles in Computer Sciences
Graph Mining And Module Detection In Protein-Protein Interaction Networks, Ru Shen
Graph Mining And Module Detection In Protein-Protein Interaction Networks, Ru Shen
Legacy Theses & Dissertations (2009 - 2024)
Graphs are intuitive representations of relational data. Graphs have been widely used to represent biological molecular networks that operate in the living systems. In the study of systems biology, using graph mining techniques and graph-theory-based algorithms to
Roughened Random Forests For Binary Classification, Kuangnan Xiong
Roughened Random Forests For Binary Classification, Kuangnan Xiong
Legacy Theses & Dissertations (2009 - 2024)
Binary classification plays an important role in many decision-making processes. Random forests can build a strong ensemble classifier by combining weaker classification trees that are de-correlated. The strength and correlation among individual classification trees are the key factors that contribute to the ensemble performance of random forests. We propose roughened random forests, a new set of tools which show further improvement over random forests in binary classification. Roughened random forests modify the original dataset for each classification tree and further reduce the correlation among individual classification trees. This data modification process is composed of artificially imposing missing data that are …