Search results for " trees."

showing 7 items of 207 documents

Community Analysis of Culturable Sapwood Endophytes from Apulian Olive Varieties with Different Susceptibility to Xylella fastidiosa

2021

Endophytes are symptomless fungal and/or bacterial microorganisms found in almost all living plant species. The symbiotic association with their host plants by colonizing the internal tissues has endowed them as a valuable tool to suppress diseases, stimulate growth, and promote stress resistance. In this context, the study of culturable endophytes residing the sapwood of Apulian olives might be a promising control strategy for xylem colonizing pathogens as Xylella fastidiosa. To date, olive sapwood cultivable endophytes are still under exploration; therefore, this work pursues a study of cultivable endophytes occurrence variation in the sapwood of different olive varieties under the effect…

phylogenetic treesPCRSAgriculturefungibacteriasap extractionAgronomy and Crop SciencePhylogenetic treefungi; bacteria; sap extraction; PCR; phylogenetic treesAgronomy; Volume 12; Issue 1; Pages: 9
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Application of selected supervised classification methods to bank marketing campaign

2016

Supervised classification covers a number of data mining methods based on training data. These methods have been successfully applied to solve multi-criteria complex classification problems in many domains, including economical issues. In this paper we discuss features of some supervised classification methods based on decision trees and apply them to the direct marketing campaigns data of a Portuguese banking institution. We discuss and compare the following classification methods: decision trees, bagging, boosting, and random forests. A classification problem in our approach is defined in a scenario where a bank’s clients make decisions about the activation of their deposits. The obtained…

random forestsr projectclassificationdecision treesboostingdata miningbank marketingbaggingsupervised learningInformation Systems in Management = Systemy Informatyczne w Zarządzaniu
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Forest nurseries and the National Recovery and Resilience Plan: the case of Sicily and Apulia (Italy)

2023

In Italy, the National Recovery and Resilience Plan (NRRP) foresees the planting of ca. 6.6 million trees to establish urban and peri-urban forests in 14 metropolitan cities. This ambitious project requires a significant number of native trees and shrubs, currently unavailable in Italian public and private nurseries. This survey analyzes the state of forest nurseries in two administrative regions of southern Italy, i.e. the “Filici” forest nursery (province of Agrigento, Sicily) and the Gargano Mountain Reclamation Consortium (province of Foggia, Apulia), to evaluate the adequacy of Sicilian and Apulian forest nurseries as potential sources of plant material to meet the requirements of the …

shrubssouthern ItalySettore BIO/02 - Botanica Sistematicanative speciesMediterranean area native species shrubs southern Italy treesSettore BIO/03 - Botanica Ambientale E ApplicataPlant SciencetreesMediterranean areaEcology Evolution Behavior and Systematics
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La influencia del estado del partido en la posesión del balón en el fútbol femenino de alto rendimiento

2020

[Abstract] The objective of this study was to examine the effect of the situational match status variable on the ball possession of the teams that participated in the 2015 FIFA Women’s World Cup. The 52 games played during the championship have been collected, and 3,740 ball possessions made by the teams were analyzed. The teams have been divided into successful and unsuccessful. Three types of analysis have been carried out: a univariate analysis for both groups with the categorical and continuous variables selected; a bivariate analysis, using chi-square tests and the exact Fischer test; and finally, a multivariable technique such as the decision trees was incorporated. The available resu…

situational variablesFútbol femeninoDecision treesApplied psychologylcsh:BF1-990Decision treeVictoryBivariate analysisFootballÁrboles de decisión050105 experimental psychologySituational variablesContinuous variable03 medical and health sciences0302 clinical medicineball possessionDones esportistesSoccerPsychologyObservació (Mètode científic)0501 psychology and cognitive sciencesObservation (Scientific method)Championshipperformance analysisTop athletesCategorical variablematch statusGeneral PsychologyOriginal ResearchMatch statuswomen’s footballdecision treesBall possessionWomen athletes05 social sciencesPerformance analysisEsportistes d'elitlcsh:PsychologyFutbolEstado del partidoBall (bearing)Variables situacionalesPsychologyAnálisis de rendimientoPosesión del balónhuman activities030217 neurology & neurosurgeryWomen’s football
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Intelligent solutions for real-life data-driven applications

2017

The subject of this thesis belongs to the topic of machine learning or, specifically, to the development of advanced methods for regression analysis, clustering, and anomaly detection. Industry is constantly seeking improved production practices and minimized production time and costs. In connection to this, several industrial case studies are presented in which mathematical models for predicting paper quality were proposed. The most important variables for the prediction models are selected based on information-theoretic measures and regression trees approach. The rest of the original papers are devoted to unsupervised machine learning. The main focus is developing advanced spectral cluster…

spectral clusteringregression treesanomaly detectionregression analysislaadunvalvontaregressioanalyysikoneoppiminenpaper machinebig datagraph segmentationcommunity detectionnetwork securityklusterianalyysitiedonlouhintatietoturvamutual informationpaperikoneetclusteringvariable selection
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Weighted and unweighted distances based decision tree for ranking data

2018

Preference data represent a particular type of ranking data (widely used in sports, web search, social sciences), where a group of people gives their preferences over a set of alternatives. Within this framework, distance-based decision trees represent a non-parametric tool for identifying the profiles of subjects giving a similar ranking. This paper aims at detecting, in the framework of (complete and incomplete) ranking data, the impact of the differently structured weighted distances for building decision trees. The traditional metrics between rankings don’t take into account the importance of swapping elements similar among them (element weights) or elements belonging to the top (or to …

weighted distances ranking Kemeny consensus treesSettore SECS-S/01 - Statistica
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Quando Gilgameš taglia i “cedri”. Gli alberi nell’immaginario mitologico mesopotamico

2021

In the Sumerian and Akkadian mythological literature, the ruler of the city of Uruk, Gilgameš, uproots and/or cuts down trees on several occasions: the ḫalub-tree (mahaleb cherry) linked to the goddess Inanna and the eren (juniper)/erēnu (cedar) trees of the Forest guarded by Ḫuwawa. These trees should be understood as elements of a wider "wilderness", with which they share a powerful and ambiguous ontological otherness, as opposed to the city and the country of Sumer. In order to become useful, this otherness must be conducted in the city and subject to processes of organization. This article illustrates the symbolic implications of the uprooting, cutting down and subsequent transport of t…

wildernecutting treesSettore M-STO/06 - Storia Delle ReligioniGilgamešSettore M-DEA/01 - Discipline DemoetnoantropologicheMesopotamian mythologySettore L-OR/03 - AssiriologiaSettore L-OR/01 - Storia Del Vicino Oriente Antico
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