Inductive data mining: Automatic generation of decision trees from data for QSAR modelling and process historical data analysis

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@InCollection{Ma2008581,

• author = "Chao Y Ma and Frances V Buontempo and Xue Z Wang",
• title = "Inductive data mining: Automatic generation of decision trees from data for QSAR modelling and process historical data analysis",
• editor = "Bertrand Braunschweig and Xavier Joulia",
• booktitle = "18th European Symposium on Computer Aided Process Engineering",
• publisher = "Elsevier",
• year = "2008",
• volume = "25",
• pages = "581--586",
• series = "Computer Aided Chemical Engineering",
• ISSN = "1570-7946",
• DOI = "doi:10.1016/S1570-7946(08)80102-2",
• URL = "http://www.sciencedirect.com/science/article/B8G5G-4TK2DGX-3M/2/2d0cbf83807000db928a8f08986360cf",
• keywords = "genetic algorithms, genetic programming, inductive data mining, decision trees, QSAR, process historical data analysis",
• abstract = "A new inductive data mining method for automatic generation of decision trees from data (GPTree) is presented. Compared with other decision tree induction techniques that are based upon recursive partitioning employing greedy searches to choose the best splitting attribute and value at each node therefore will necessarily miss regions of the search space, GPTree can overcome the problem. In addition, the approach is extended to a new method (YAdapt) that models the original continuous endpoint by adaptively finding suitable ranges to describe the endpoints during the tree induction process, removing the need for discretization prior to tree induction and allowing the ordinal nature of the endpoint to be taken into account in the models built. A strategy for further improving the predictive performance for previously unseen data is investigated that uses multiple decisions trees, i.e., a decision forest, and a majority voting strategy to give a prediction (GPForest). The methods were applied to QSAR (quantitative structure--activity relationships) modeling for eco-toxicity prediction of chemicals and to the analysis of a historical database for a wastewater treatment plant.",
• notes = "See \cite{Ma20091602}",

}

Genetic Programming entries for Cai-Yun Ma Frances V Buontempo Xue Zhong Wang

Citations