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com, ronaldchapman1@bigpond, and Ron Chapman. "Fighting for the Forests: A History of The Western Australian Forest Protest Movement 1895-2001." Murdoch University, 2008. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20090121.162055.

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As the first comprehensive study of Western Australian forest protest the thesis analyses the protest movement's organisation, campaigns and strategies. Its central argument is that the contemporary Western Australian forest protest movement established a network of urban and south-west activist groups which encouraged broad public support, and that a diversity of protest strategies focused public attention on forest issues and pressured the state government to change its forest policies. The forest protest movement was characterised by its ability to continually adapt its organisation and s
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Mehlhope, Stephanie H. "MODELING BEDROCK MINING HOTSPOTS WITHIN THE OUACHITA NATIONAL FOREST, ARKANSAS." UKnowledge, 2013. http://uknowledge.uky.edu/geography_etds/3.

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This study, concentrating on the Ouachita Mountain Range in western-central Arkansas, extends prior work on treethrows and their influence on soil development in the region by supplying a method of determining hotspots of bedrock mining by treethrow. Binary logistic regression analysis was employed to determine the abiotic and biotic factors that are highly correlated with the rate of bedrock detachment found in uprooted rootwads from three study sites within the Ouachita National Forest. The produced logistic regression models suggest topographic factors, tree specific characteristics, as wel
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Kalamandeen, Michelle. "Forest loss dynamics and impacts from gold mining in Amazonia." Thesis, University of Leeds, 2019. http://etheses.whiterose.ac.uk/22904/.

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Amazonian rainforests are home to Earth's largest reservoir of biodiversity, providing crucial ecosystem services and storing approximately 17% of all global terrestrial carbon. Today, these forests are experiencing rapid, unprecedented changes due to climate impacts and anthropogenic disturbances. In recent decades, the region has experienced marked variability in deforestation, and after a long period of increase, the deforestation rates in countries like Brazil have sharply declined in recent years. However, little is known about the forest trends and the impact of different drivers in othe
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MacKinnon, Richard Kyle. "Seeing the forest for the trees: tree-based uncertain frequent pattern mining." Springer International Publishing, 2014. http://hdl.handle.net/1993/31059.

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Many frequent pattern mining algorithms operate on precise data, where each data point is an exact accounting of a phenomena (e.g., I have exactly two sisters). Alas, reasoning this way is a simplification for many real world observations. Measurements, predictions, environmental factors, human error, &ct. all introduce a degree of uncertainty into the mix. Tree-based frequent pattern mining algorithms such as FP-growth are particularly efficient due to their compact in-memory representations of the input database, but their uncertain extensions can require many more tree nodes. I propose new
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Dement, Wesley T. "AN INVESTIGATION OF TREE GROWTH AND WOODY VEGETATION COLONIZATION ON A 19 YEAR-OLD FORESTRY RECLAMATION SITE." UKnowledge, 2017. https://uknowledge.uky.edu/forestry_etds/37.

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Survival, growth and biomass accumulation of 19 year-old trees planted on an Appalachian surface mine site were evaluated to determine the effect of spoil grading and surface amendment treatments. Three spoil grading treatments (loose-dump, strike-off and graded control) were established to create a range of operationally feasible spoil compaction capable of impacting tree establishment and growth. Likewise, three surface amendment treatments (straw/manure mulch, hardwood bark mulch and control) were applied to determine their effects on tree development. Trees grown under low-compaction gradi
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Luud, Aarne. "Evaluation of moose habitats and forest reclamation in Estonian oil shale mining areas /." Online version, 2006. http://dspace.utlib.ee/dspace/bitstream/10062/684/5/luudaarne.pdf.

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Oliveira, Leandro de. "Soil recuperation in forest settlements in mining areas in the Tremembé municipality - SP." Universidade de Taubaté, 2006. http://www.bdtd.unitau.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=77.

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The recuperation of degraded areas due to mining activity namely sand mining is carried out by the forest recomposition with native species. In the present work the availability of nutrients along with amount of living matter cover accumulated in a native ciliary wood and in five fragments of forest recomposition of areas previously used for sand mining in the municipality of Tremembe SP. Such areas are currently at different phases of vegetative development process, ranging from 1, 5 and 11 years. The content of nutrient, organic matter, soil acidity and total production of living matter cove
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Adriansson, Nils, and Ingrid Mattsson. "Forecasting GDP Growth, or How Can Random Forests Improve Predictions in Economics?" Thesis, Uppsala universitet, Statistiska institutionen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-243028.

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GDP is used to measure the economic state of a country and accurate forecasts of it is therefore important. Using the Economic Tendency Survey we investigate forecasting quarterly GDP growth using the data mining technique Random Forest. Comparisons are made with a benchmark AR(1) and an ad hoc linear model built on the most important variables suggested by the Random Forest. Evaluation by forecasting shows that the Random Forest makes the most accurate forecast supporting the theory that there are benefits to using Random Forests on economic time series.
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Johansson, Filip, and Jesper Wikström. "Result Prediction by Mining Replays in Dota 2." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2288.

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Context: Real-time games like Dota 2 lack the extensive mathematical modeling of turn-based games that can be used to make objective statements about how to best play them. Understanding a real-time computer game through the same kind of modeling as a turn-based game is practically impossible. Objectives: In this thesis an attempt was made to create a model using machine learning that can predict the winning team of a Dota 2 game given partial data collected as the game progressed. A couple of different classifiers were tested, out of these Random Forest was chosen to be studied more in depth.
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Linusson, Henrik, Robin Rudenwall, and Andreas Olausson. "Random forest och glesa datarespresentationer." Thesis, Högskolan i Borås, Institutionen Handels- och IT-högskolan, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-16672.

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In silico experimentation is the process of using computational and statistical models to predict medicinal properties in chemicals; as a means of reducing lab work and increasing success rate this process has become an important part of modern drug development. There are various ways of representing molecules - the problem that motivated this paper derives from collecting substructures of the chemical into what is known as fractional representations. Assembling large sets of molecules represented in this way will result in sparse data, where a large portion of the set is null values. This con
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Halmann, Marju. "Email Mining Classifier : The empirical study on combining the topic modelling with Random Forest classification." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-14710.

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Filtering out and replying automatically to emails are of interest to many but is hard due to the complexity of the language and to dependencies of background information that is not present in the email itself. This paper investigates whether Latent Dirichlet Allocation (LDA) combined with Random Forest classifier can be used for the more general email classification task and how it compares to other existing email classifiers. The comparison is based on the literature study and on the empirical experimentation using two real-life datasets. Firstly, a literature study is performed to gain ins
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Jones, Andy Thomas. "Site Quality Classification for Mapping Forest Productivity Potential on Mine Soils in the Appalachian Coalfield Region." Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/33355.

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Surface mining for coal in the Appalachian region destroys native forests and replaces them with reclaimed landscapes that are often revegetated as grasslands and are unacceptable for managed forest production without extensive remediation. Tree survival and growth are dependent on many reclaimed mine land properties. However, conventional mapping techniques using USDA soil series does not identify these critical soil property differences. This study was conducted to create a forest site quality classification system to be used to evaluate the potential productivity of specific tree species
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Aldous, P. J. "The groundwater geology of an abandoned coal mined aquifer : a case study from the Forest of Dean coalfield." Thesis, University of Bristol, 1987. http://hdl.handle.net/1983/62066205-5e54-45a2-9dee-6cdc47103516.

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Kazar, Sheila A. "Surface mines as landscape features contrasting microclimate and forest composition among open, edge, and interior /." Morgantown, W. Va. : [West Virginia University Libraries], 2003. http://etd.wvu.edu/templates/showETD.cfm?recnum=3149.

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Thesis (M.A.)--West Virginia University, 2003.<br>Title from document title page. Document formatted into pages; contains vii, 56 p. : ill. (some col.), maps (some col.). Vita. Includes abstract. Includes bibliographical references (p. 50-55).
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Andrews, Jeffrey Adam. "Soil productivity model to assess forest site quality on reclaimed surface mines." Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-09052009-040211/.

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Taalab, Khaled Paul. "Modelling soil bulk density using data-mining and expert knowledge." Thesis, Cranfield University, 2013. http://dspace.lib.cranfield.ac.uk/handle/1826/8273.

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Data about the spatial variation of soil attributes is required to address a great number of environmental issues, such as improving water quality, flood mitigation, and determining the effects of the terrestrial carbon cycle. The need for a continuum of soils data is problematic, as it is only possible to observe soil attributes at a limited number of locations, beyond which, prediction is required. There is, however, disparity between the way in which much of the existing information about soil is recorded and the format in which the data is required. There are two primary methods of represe
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Nasution, Zaid Perdana. "Forest conservation, mining and local responses : drawing the boundaries in Batang Gadis National Park, North Sumatra, Indonesia." Thesis, University of Leeds, 2018. http://etheses.whiterose.ac.uk/19809/.

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After more than 32 years under centralized government, Indonesia underwent a process of political decentralization starting in 1999. However, the management and control of natural resources, particularly in the forestry and mining sectors, is still largely under the authority of central government. At the same time, global calls for conservation and sustainable development that require state territorialization have also influenced policy and practice at the local and national levels. They have encouraged a process of state territorialization that has had a distinct affect on the land-based ins
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Elagamy, Mazen Nabil. "Stock Market Random Forest-Text Mining (SMRF-TM) approach to analyse critical indicators of stock market movements." Thesis, Staffordshire University, 2017. http://eprints.staffs.ac.uk/4285/.

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The Stock Market is a significant sector of a country’s economy and has a crucial role in the growth of commerce and industry. Hence, discovering efficient ways to analyse and visualise stock market data is considered a significant issue in modern finance. The use of data mining techniques to predict stock market movements has been extensively studied using historical market prices but such approaches are constrained to make assessments within the scope of existing information, and thus they are not able to model any random behaviour of the stock market or identify the causes behind events. On
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Cook, Shannon R. "The Hydrogeology of an Old Growth Forest with Implications for Defining Impact Zones Associated with Underground Mining." Ohio University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1226165787.

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Naji, Adel Ali. "Data Mining for Accurately Estimating Residential Natural Gas Energy Consumption and Savings Using a Random Forest Approach." University of Dayton / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1557422487896673.

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Wright, Lindsey. "Classifying textual fast food restaurant reviews quantitatively using text mining and supervised machine learning algorithms." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/honors/451.

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Companies continually seek to improve their business model through feedback and customer satisfaction surveys. Social media provides additional opportunities for this advanced exploration into the mind of the customer. By extracting customer feedback from social media platforms, companies may increase the sample size of their feedback and remove bias often found in questionnaires, resulting in better informed decision making. However, simply using personnel to analyze the thousands of relative social media content is financially expensive and time consuming. Thus, our study aims to establish a
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Lalor, Briony Maree. "An assessment of the recovery of the microbial community in jarrah forest soils after bauxite mining and prescription burning." University of Western Australia. School of Earth and Geographical Sciences, 2009. http://theses.library.uwa.edu.au/adt-WU2010.0037.

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[Truncated abstract] Recovery of soil nutrients, microbial populations and carbon (C) and nitrogen (N) cycling processes are critical to the success of rehabilitation following major ecosystem disturbance. Bauxite mining represents a major ecosystem disturbance to the jarrah (Eucalyptus marginata) forest in the south-west of Western Australia. Mining has created a mosaic of mined areas in various stages of succession surrounded by non-mined forest areas. Initial site preparations within rehabilitation areas such as contour ripping alter soil structure (creation of mound and furrows) and over t
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Benac, David T. "This land is all terrible rough : a history of access to forest resources in Carter County, Missouri /." free to MU campus, to others for purchase, 2003. http://wwwlib.umi.com/cr/mo/fullcit?p3099609.

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Freytag, Sara B. "Effects of Mountaintop Removal Mining on Population Dynamics of Stream Salamanders." UKnowledge, 2016. http://uknowledge.uky.edu/forestry_etds/27.

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Mountaintop removal mining (MTR) is a notorious stressor of stream ecosystems in the Central Appalachians. Valley fills (VF) lead to reduced occupancy, abundance, and species richness of stream salamanders. Multiple factors may be responsible for these reductions, but specifically habitat fragmentation and degradation may reduce colonization rates and increase local extinction rates. From 2013-2015, repeated counts of salamanders were conducted in stream reaches impacted by MTR/VF and compared to counts in reference reaches to answer the question: do stream salamander population dynamics diffe
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Moreno, Vanessa de Souza. "Restauração florestal de áreas mineradas de bauxita: é necessário o uso de gramíneas exóticas para o recobrimento inicial do solo?" Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/11/11150/tde-08042015-150943/.

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A mineração modifica profundamente os ecossistemas naturais e, embora a recuperação dessas áreas seja exigida pela legislação, trata-se ainda de um grande desafio técnico. Geralmente, as estratégias de recuperação envolvem a distribuição de solo florestal superficial, a semeadura de gramíneas exóticas para cobrir o solo, chamada de \"tapete verde\", e o plantio de mudas de árvores exóticas e/ou nativas. No entanto, a semeadura de gramíneas exóticas pode restringir a regeneração de espécies nativas, sendo a avaliação da sua viabilidade ecológica necessária para determinar sua real necessidade.
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Schaaf, Wolfgang. "Development of element cycling in forest ecosystems after anthropogenic disturbances : case studies at long-term atmospheric polluted and post-mining sites /." Cottbus : Brandenburgische Techn. Univ, 2004. http://www.gbv.de/dms/bs/toc/488098432.pdf.

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Virkkala, Linda, and Johanna Haglund. "Modelling of patterns between operational data, diagnostic trouble codes and workshop history using big data and machine learning." Thesis, Uppsala universitet, Datalogi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-279823.

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The work presented in this thesis is part of a large research and development project on condition-based maintenance for heavy trucks and buses at Scania. The aim of this thesis was to be able to predict the status of a component (the starter motor) using data mining methods and to create models that can predict the failure of that component. Based on workshop history data, error codes and operational data, three sets of classification models were built and evaluated. The first model aims to find patterns in a set of error codes, to see which codes are related to a starter motor failure. The s
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Bitara, Matúš. "Srovnání heuristických a konvenčních statistických metod v data miningu." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-400833.

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The thesis deals with the comparison of conventional and heuristic methods in data mining used for binary classification. In the theoretical part, four different models are described. Model classification is demonstrated on simple examples. In the practical part, models are compared on real data. This part also consists of data cleaning, outliers removal, two different transformations and dimension reduction. In the last part methods used to quality testing of models are described.
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Rodrigue, Jason Adam. "Woody Species Diversity, Forest and Site Productivity, Stumpage Value, and Carbon Sequestration of Forests on Mined Lands Reclaimed Prior to the Passage of the Surface Mining Control and Reclamation Act of 1977." Thesis, Virginia Tech, 2001. http://hdl.handle.net/10919/35629.

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The present state of forestry post mining land uses has prompted concern among researchers, landowners, and the public. Surface mines reclaimed to forests under the provision of the Surface Mining Control and Reclamation Act (SMCRA) may not achieve site productivity levels required by the law. Anecdotal evidence suggests that many pre-law reforested mined sites are growing productive forests. The purpose of this study was to characterize these forests and the mine soils in which they are growing, and use them to benchmark forest development on mined land. Using 14 mined and 8 non-mined sit
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Costa, Julio César da. "Efeito de alterações do habitat na composição e estrutura da comunidade de aves de sub-bosque no Planalto Paulista, Sudeste do Brasil." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/11/11150/tde-15072008-130253/.

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Aves são um grupo tradicionalmente estudado em trabalhos de avaliação de impacto ambiental, os quais buscam entender efeitos de atividades antrópicas nas comunidades e/ou populações. Tal entendimento é fundamental para criar diretrizes para futuros empreendimentos ou ordenamento do uso do solo, com o objetivo de mitigar os efeitos negativos das atividades humanas. Nessa perspectiva, neste trabalho foram estudados dois efeitos em diferentes escalas na comunidade de aves de sub-bosque em região de Mata Atlântica no Planalto Paulista. O primeiro trabalho refere-se a uma escala ampla, na qual exis
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Öberg, Johanna. "Time prediction and process discovery of administration process." Thesis, Uppsala universitet, Institutionen för biologisk grundutbildning, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-432893.

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Machine learning and process mining are two techniques that are becoming more and more popular among organisations for business intelligence purposes. Results from these techniques can be very useful for organisations' decision-making. The Swedish National Forensic Centre (NFC), an organisation that performs forensic analyses, is in need of a way to visualise and understand its administration process. In addition, the organisation would like to be able to predict the time analyses will take to perform. In this project, it was evaluated if machine learning and process mining could be used on NF
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Rabeiy, Ragab Elsayed [Verfasser]. "Spatial modeling of heavy metal pollution of forest soils in an historical mining area using geostatistical methods and air despersion modeling / Ragab Elsayed Rabeiy." Clausthal-Zellerfeld : Universitätsbibliothek Clausthal, 2010. http://d-nb.info/1007800925/34.

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Kwame, Osei Eric. "Machine Learning-based Quality Prediction in the Froth Flotation Process of Mining : Master’s Degree Thesis in Microdata Analysis." Thesis, Högskolan Dalarna, Mikrodataanalys, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:du-31643.

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In the iron ore mining fraternity, in order to achieve the desired quality in the froth flotation processing plant, stakeholders rely on conventional laboratory test technique which usually takes more than two hours to ascertain the two variables of interest. Such a substantial dead time makes it difficult to put the inherent stochastic nature of the plant system in steady-state. Thus, the present study aims to evaluate the feasibility of using machine learning algorithms to predict the percentage of silica concentrate (SiO2) in the froth flotation processing plant in real-time. The predictive
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Allen, Jared Seth. "DETERMINING SOUTH MISSISSIPPI FOREST SUSCEPTIBILITY TO WINDTHROW AND SHEAR DAMAGE IN A HURRICANE ENVIRONMENT THROUGH DATA MINING OF METEOROLOGICAL, PHYSIOGRAPHICAL,PEDOLOGICAL, AND TREE LEVEL DATA." MSSTATE, 2009. http://sun.library.msstate.edu/ETD-db/theses/available/etd-08262009-143122/.

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An estimated 39 million m<SUP>3</SUP> of timber was damaged across the Southeast Forest District of Mississippi due to Hurricane Katrina. Aggregated forest plot-level biometrics was coupled with wind, topographical, and soil attributes using a GIS. Data mining through Regression Tree Analysis (RTA) was used to determine factors contributing to shear damage of pines and wind-throw damage of hardwoods. Results depict Loreys Mean Height (LMH) and Quadratic Mean Diameter (QMD) are important variables in determining the percentage of trees and basal area damaged for both forest classes with sustain
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Mistry, Pritesh. "A Knowledge Based Approach of Toxicity Prediction for Drug Formulation. Modelling Drug Vehicle Relationships Using Soft Computing Techniques." Thesis, University of Bradford, 2015. http://hdl.handle.net/10454/14440.

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This multidisciplinary thesis is concerned with the prediction of drug formulations for the reduction of drug toxicity. Both scientific and computational approaches are utilised to make original contributions to the field of predictive toxicology. The first part of this thesis provides a detailed scientific discussion on all aspects of drug formulation and toxicity. Discussions are focused around the principal mechanisms of drug toxicity and how drug toxicity is studied and reported in the literature. Furthermore, a review of the current technologies available for formulating drugs for toxicit
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Gurung, Kumari. "ASSESSING ECOSYSTEM SERVICES FROM THE FORESTRY-BASED RECLAMATION OF SURFACE MINED AREAS IN THE NORTH FORK OF THE KENTUCKY RIVER WATERSHED." UKnowledge, 2018. https://uknowledge.uky.edu/forestry_etds/43.

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Land Use Land Cover (LULC) changes can take place at the expense of degrading environmental conditions and undermining ecosystem’s capacity to deliver benefits to people. In the Appalachian region, surface mining for coal is a major driver of LULC change. The Surface Mining Control and Reclamation Act (SMCRA) of 1977 requires mine site reclamation but typical reclamation practices often result in land cover dominated by grass and shrubs. The Forestry Reclamation Approach (FRA) is a promising reclamation strategy but not in widespread use by industry. Assessing ecosystem services that can be ob
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Fernandez, Sanchez Javier. "Knowledge Discovery and Data Mining Using Demographic and Clinical Data to Diagnose Heart Disease." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233978.

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Cardiovascular disease (CVD) is the leading cause of morbidity, mortality, premature death and reduced quality of life for the citizens of the EU. It has been reported that CVD represents a major economic load on health care sys- tems in terms of hospitalizations, rehabilitation services, physician visits and medication. Data Mining techniques with clinical data has become an interesting tool to prevent, diagnose or treat CVD. In this thesis, Knowledge Dis- covery and Data Mining (KDD) was employed to analyse clinical and demographic data, which could be used to diagnose coronary artery diseas
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Badayos, Noah Garcia. "Machine Learning-Based Parameter Validation." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/47675.

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As power system grids continue to grow in order to support an increasing energy demand, the system's behavior accordingly evolves, continuing to challenge designs for maintaining security. It has become apparent in the past few years that, as much as discovering vulnerabilities in the power network, accurate simulations are very critical. This study explores a classification method for validating simulation models, using disturbance measurements from phasor measurement units (PMU). The technique used employs the Random Forest learning algorithm to find a correlation between specific model para
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Johansson, Fredrik, and Markus Lindgren. "Hybridmodeller för prediktiv modellering skapade med genetisk programmering." Thesis, Högskolan i Borås, Institutionen Handels- och IT-högskolan, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-17316.

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Det finns idag ett stort behov av att kunna klassificera stora mängder data på ett effektivt sätt. Prediktiv modellering är ett område inom data mining där prediktioner kan utföras baserat på tidigare erfarenheter. Dessa prediktioner presenteras sedan i en modell. Avvägningen mellan tolkningsbarhet och träffsäkerhet är ett begrepp som beskriver hur träffsäkra modeller ofta är ogenomskinliga, medan genomskinliga modeller ofta har lägre träffsäkerhet. Detta är ett problem eftersom det finns ett behov av modeller som är både träffsäkra och tolkningsbara.I denna studie visas hur man kan gå till vä
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Lamprou, Sokrates. "A study in alcohol : A comparison of data mining methods for identifying binge drinking risk factors in university students." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-174087.

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Hazardous alcohol consumption is an issue that affects a lot of university students today. Consuming alcohol tend to have a negative impact on both mental and physical aspects, which can lead to severe alcohol addictions in the future. This study investigates which background factors that causes the phenomenon of binge drinking by collecting and analysing data from Linköping University. The results were analysed with data mining techniques such as: decision trees, random forest, and logistic regression. The results showed that logistic regression were the most reliable method in predicting bin
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Bleby, Timothy Michael. "Water use, ecophysiology and hydraulic architecture of Eucalyptus marginata (jarrah) growing on mine rehabilitation sites in the jarrah forest of south-western Australia." University of Western Australia. School of Plant Biology, 2003. http://theses.library.uwa.edu.au/adt-WU2004.0004.

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[Truncated abstract. Please see the pdf format for the complete text. Also, formulae and special characters can only be approximated here. Please see the pdf version for an accurate reproduction.] This thesis examines the water use, ecophysiology and hydraulic architecture of Eucalyptus marginata (jarrah) growing on bauxite mine rehabilitation sites in the jarrah forest of south-western Australia. The principal objective was to characterise the key environment and plant-based influences on tree water use, and to better understand the dynamics of water use over a range of spatial and tempo
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Schmidt, Anel. "Strip-mine rehabilitation in Namaqualand." Thesis, Stellenbosch : Stellenbosch University, 2002. http://hdl.handle.net/10019.1/53068.

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Thesis (MScFor)--Stellenbosch University, 2002.<br>ENGLISH ABSTRACT: Namaqualand has a very unusual diversity of plant life, with many endemic plant species. The fundamental question of this thesis is how this system, damaged by strip-mining activities, can be rehabilitated. The aim was to base the rehabilitation methods on ecological processes. In order to answer this question an overview of the relevant literature was needed in order to identify possible research needs and also to evaluate the work that has been done in the field of strip-mine rehabilitation in arid areas. An understan
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Subburayalu, Sakthi Kumaran. "Application of machine learning for soil survey updates a case study in southeastern Ohio /." Columbus, Ohio : Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1199992659.

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BOOTH, Micael Cortopassi. "Cen?rios de ?reas degradadas em recupera??o na FLONA do Jamari/RO." Universidade Federal Rural do Rio de Janeiro, 2017. https://tede.ufrrj.br/jspui/handle/jspui/2232.

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Submitted by Jorge Silva (jorgelmsilva@ufrrj.br) on 2018-03-23T18:33:28Z No. of bitstreams: 1 2017 - Micael Cortopassi Booth.pdf: 3109489 bytes, checksum: 01bce83a5a84e68b19faf1907d31a751 (MD5)<br>Made available in DSpace on 2018-03-23T18:33:28Z (GMT). No. of bitstreams: 1 2017 - Micael Cortopassi Booth.pdf: 3109489 bytes, checksum: 01bce83a5a84e68b19faf1907d31a751 (MD5) Previous issue date: 2017-02-22<br>CAPES<br>The use of geotechnologies assists in the monitoring and quantification of the development and modification of the landscape. The Amazon region has high diversity and plant ric
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Pedron, Leandra. "MIRMECOFAUNA EM ÁREA DE MINERAÇÃO DE CARVÃO NO RIO GRANDE DO SUL." Universidade Federal de Santa Maria, 2016. http://repositorio.ufsm.br/handle/1/8775.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>The aim of this study was to evaluate the biodiversity of ants in coal mining area in the city of Candiota, Rio Grande do Sul. Thus, two methods of sampling were used and, as a result, this work was divided into two chapters. In the first chapter, the survey of the mirmecofauna was carried out monthly with attractive bait in the period from July 2014 to June 2015. It was used the Completely Randomized Design (CRD) with seven treatments, which are: native grassland, non-mined area; native grassland, mined area; plantation of Acacia
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Manilich, Elena A. "Hereditary Colorectal Cancer: Information-Based Approach." Cleveland, Ohio : Case Western Reserve University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=case1252247671.

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Thesis(Ph.D.)--Case Western Reserve University, 2010<br>Title from PDF (viewed on 2009-12-30) Department of Electrical Engineering and Computer Science Includes abstract Includes bibliographical references and appendices Available online via the OhioLINK ETD Center
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Silva, Edmilson Alves da. "Avalia??o da recupera??o natural de ?reas degradadas pelo garimpo de diamante no Vale do Rio S?o Jos? em Len??is/BA." Universidade Estadual de Feira de Santana, 2013. http://localhost:8080/tede/handle/tede/198.

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Submitted by Verena Bastos (verena@uefs.br) on 2015-09-16T22:20:18Z No. of bitstreams: 1 Disserta??o finalpdf.pdf: 1860889 bytes, checksum: ee87b81fe0a21430df0bad836a2fe39f (MD5)<br>Made available in DSpace on 2015-09-16T22:20:18Z (GMT). No. of bitstreams: 1 Disserta??o finalpdf.pdf: 1860889 bytes, checksum: ee87b81fe0a21430df0bad836a2fe39f (MD5) Previous issue date: 2013-03-27<br>Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior - CAPES<br>The present work examined the floristic compositions and structures, and the similarities between seven areas degraded by mechanized diamond
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Daume, Stefan [Verfasser], Klaus von [Akademischer Betreuer] Gadow, Winfried [Akademischer Betreuer] Kurth, and Jürgen [Akademischer Betreuer] Nagel. "Social media mining as an opportunistic citizen science model in ecological monitoring: a case study using invasive alien species in forest ecosystems. / Stefan Daume. Betreuer: Klaus von Gadow. Gutachter: Klaus von Gadow ; Winfried Kurth ; Jürgen Nagel." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2015. http://d-nb.info/1077648448/34.

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Laudisa, Costanza. "Identificazione di utenti in base a come digitano sullo smartphone tramite reti neurali." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/19618/.

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Negli ultimi anni i metodi di autenticazione tradizionali sui dispositivi elettronici, come password e token, si sono rivelati obsoleti a causa della capacità sempre più avanzata di malintenzionati di risalire a tali informazioni sfruttando debolezze nei sistemi informatici. I sistemi di riconoscimento biometrico nascono come sostitutivi di questi metodi tradizionali e offrono una soluzione più affidabile in quanto si basano su attributi distintivi e propri di un individuo, che non possono essere rubati, manipolati o condivisi. Ad oggi i sistemi di riconoscimento biometrico su smartphone si li
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Carvalho, Andréa Siqueira. ""Mamíferos de médio e grande porte na Floresta Nacional de Carajás, Pará: riqueza, abundância e efeitos da fitofisionomia e do impacto da mineração"." Universidade do Estado do Rio de Janeiro, 2011. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=3161.

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A Floresta Nacional de Carajás é uma unidade de conservação federal localizada no sudeste da Amazônia, região Norte do Brasil. Juntamente com outras cinco áreas formam o Mosaico de Carajás com um contínuo de 1.307.000 hectares de área protegida. As principais fitofisionomias presentes no interior da unidade são a Floresta Ombrófila Densa e a Savana Metalófila. A unidade abriga a maior província mineral do mundo. A atividade de mineração promove diferentes impactos sobre a fauna principalmente através da modificação de paisagem originada pela supressão vegetal. O objetivo desse trabalho foi est
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