Search results for "Decision tree learning"

showing 3 items of 13 documents

QSAR models for tyrosinase inhibitory activity description applying modern statistical classification techniques: A comparative study

2010

Abstract Cluster analysis (CA), Linear and Quadratic Discriminant Analysis (L(Q)DA), Binary Logistic Regression (BLR) and Classification Tree (CT) are applied on two datasets for description of tyrosinase inhibitory activity from molecular structures. The first set included 701 tyrosinase inhibitors (TI) that are used for performance of inhibitory and non-inhibitory activity and the second one is for potency estimation of active compounds. 2D TOMOCOMD-CARDD atom-based quadratic indices are computed as molecular descriptors. CA is used to “rational” design of training (TS) and prediction set (PS) but it shows of not being adequate as classification technique. On the first data, the overall a…

Quantitative structure–activity relationshipReceiver operating characteristicProcess Chemistry and TechnologyDecision tree learningPosterior probabilityQuadratic classifierComputer Science ApplicationsAnalytical ChemistrySet (abstract data type)Statistical classificationMolecular descriptorStatisticsSpectroscopySoftwareMathematicsChemometrics and Intelligent Laboratory Systems
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A methodology for fire data analysis based on pattern recognition towards the disaster management

2015

The aim of this paper is to investigate a proposed strategy for fire disaster analysis that is implemented based on pattern recognition technique in order to achieve a methodology for disaster management. Since the fire hazard has severe effects onto human and properties, it is essential to predict and possibly prevent it. Almost every fire produces some issues, such as heat, smoke, gas, and flame, which are sensible and measurable via devices or detection systems. The fire behavior is relevant to these issues. In this research, temperature, heat radiation, and visibility (smoke) data of fire that have been obtained from Fire Dynamics Simulator (FDS) are used for analysis. The location of t…

SmokeEmergency managementbusiness.industryComputer scienceDecision tree learningDecision treePattern recognitionFire Dynamics SimulatorPattern recognition (psychology)Artificial intelligenceVisibilityMATLABbusinesscomputercomputer.programming_language2015 2nd International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)
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Site quality evaluation by classification tree: an application to cork quality in Sardinia

2005

Cork harvesting and stopper production represent a major forest industry in Sardinia (Italy). The target of the present investigation was to evaluate the ‘‘classification tree’’ as a tool to discover possible relationships between microsite characteristics and cork quality. Seven main cork oak (Quercus suber) producing areas have been identified in Sardinia, for a total of more than 122,000 ha. Sixty-three sample trees, distributed among different geographical locations and microsite conditions, were selected. A soil profile near each sample tree was described, soil samples were collected and analysed. After debarking, cork quality of each sample tree was graded by an independent panel of e…

biologySoil testEcologyDecision tree learningSite classification and evaluationLogistic regressionForestryClassification Tree MethodForestryClassification treePlant ScienceQuercus suberMicrositeCorkengineering.materialbiology.organism_classificationTree (data structure)Quercus suberCork qualityengineeringSoil horizonMathematics
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