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Дисертації з теми "GIS Data Mining"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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1

Sandell, Anna. "GIS, data mining and wild land fire data within Räddningstjänsten." Thesis, University of Skövde, Department of Computer Science, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-543.

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<p>Geographical information systems (GIS), data mining and wild land fire would theoretically be suitable to use together. However, would data mining in reality bring out any useful information from wild land fire data stored within a GIS? In this report an investigation is done if GIS and data mining are used within Räddningstjänsten today in some municipalities of the former Skaraborg. The investigation shows that neither data mining nor GIS are used within the investigated municipalities. However, there is an interest in using GIS within the organisations in the future but also some kind of

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2

Zhang, Bo. "Data Mining, Gis And Remote Sensing: Application In Wetland Hydrological Investigation." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1220021657.

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3

Kudowor, Andrew Yao Tete. "Subsurface data management and volume estimation : techniques, procedures, and concepts." Thesis, University of Newcastle Upon Tyne, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285787.

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4

Griffin, Terry W. "GPS CaPPture: a System for GPS Trajectory Collection, Processing, and Destination Prediction." Thesis, University of North Texas, 2012. https://digital.library.unt.edu/ark:/67531/metadc115089/.

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In the United States, smartphone ownership surpassed 69.5 million in February 2011 with a large portion of those users (20%) downloading applications (apps) that enhance the usability of a device by adding additional functionality. a large percentage of apps are written specifically to utilize the geographical position of a mobile device. One of the prime factors in developing location prediction models is the use of historical data to train such a model. with larger sets of training data, prediction algorithms become more accurate; however, the use of historical data can quickly become a down

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5

Salap, Seda. "Development Of A Gis-based Monitoring And Management System For Underground Mining Safety." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/3/12609815/index.pdf.

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Mine safety is of paramount concern to the mining industry. The generation of a Geographic Information Systems (GIS) which can administrate relevant spatial data and metadata of underground mining safety efficiently is a very vital issue in this sense. In an effort to achieve a balance of safety and productivity, GIS can contribute to the creation of a safe working environment in underground (U/G) mining. Such a system should serve to a continuous risk analysis and be designed for applications in case of emergency. Concept for safety should require three fundamental components, namely (i)

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6

Shcherbaniuk, Mykola Vasylyovych. "Modeling land use and cover change : predicting re-enrollment in the Conservation Reserve Program using GIS and data mining procedures /." Available to subscribers only, 2006. http://proquest.umi.com/pqdweb?did=1208146881&sid=6&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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7

Zhou, Guoqing. "Co-Location Decision Tree for Enhancing Decision-Making of Pavement Maintenance and Rehabilitation." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/26059.

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A pavement management system (PMS) is a valuable tool and one of the critical elements of the highway transportation infrastructure. Since a vast amount of pavement data is frequently and continuously being collected, updated, and exchanged due to rapidly deteriorating road conditions, increased traffic loads, and shrinking funds, resulting in the rapid accumulation of a large pavement database, knowledge-based expert systems (KBESs) have therefore been developed to solve various transportation problems. This dissertation presents the development of theory and algorithm for a new decision tree

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8

Abugessaisa, Imad. "Analytical tools and information-sharing methods supporting road safety organizations." Doctoral thesis, Linköpings universitet, GIS - Geografiska informationssystem, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-11596.

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A prerequisite for improving road safety are reliable and consistent sources of information about traffic and accidents, which will help assess the prevailing situation and give a good indication of their severity. In many countries there is under-reporting of road accidents, deaths and injuries, no collection of data at all, or low quality of information. Potential knowledge is hidden, due to the large accumulation of traffic and accident data. This limits the investigative tasks of road safety experts and thus decreases the utilization of databases. All these factors can have serious effects

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9

Gonçalves, Erick Sobreiro. "Análise de padrões operacionais da frota de ônibus de transporte público no município de São Paulo e a influência de fatores climáticos em sua dinâmica." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/3/3138/tde-12032018-134651/.

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Atualmente existem muitas fontes de dados oriundos de movimentação de pessoas e veículos. Deduzir o comportamento do tráfego a partir desses dados pode ser de grande utilidade para a gestão do tráfego. Entretanto, os métodos existentes podem não abordar todas as dimensões referentes ao comportamento do tráfego, em especial sob efeito de adversidades, como por exemplo - eventos climáticos. O objetivo dessa dissertação é apresentar uma combinação de métodos estatísticos e de análise espacial, para uso na compreensão dos padrões temporais e espaciais de variabilidade das velocidades, em condições

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10

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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11

Huang, Yingying. "DATA MINING OF PEPTIDE MS/MS SPECTRA TO ELUCIDATE GAS-PHASE PEPTIDE DISSOCIATION MECHANISMS AND IMPROVE PROTEIN IDENTIFICATION." Diss., Tucson, Arizona : University of Arizona, 2005. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1133%5F1%5Fm.pdf&type=application/pdf.

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12

Ydstål, Danielle. "Application of mass defect filtering and statistical analysis for non-target data mining of gas and soot data from a study testing different firefighting methods." Thesis, Örebro universitet, Institutionen för naturvetenskap och teknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-86568.

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Due to the high temperatures during a fire event, a large variety of compounds are formed or released from burning materials, all of which have a varying degree of environmental effects. In an incidental fire there are several variables that are important for which and how much combustion products that are formed, including the burning material, ventilation (presence of air), and temperature. The aim of this project is to evaluate if there is a difference between formed fire residues in gas and soot using four different fire extinguishing techniques. A non-target approach is used with gas chro

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13

Poirion, Olivier. "Discrimination analytique des génomes bactériens." Thesis, Ecully, Ecole centrale de Lyon, 2014. http://www.theses.fr/2014ECDL0033/document.

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Le génome bactérien est classiquement pensé comme constitué de “chromosomes”, éléments génomiques essentiels pour l’organisme, stables et à évolution lente, et de “plasmides”, éléments génomiques accessoires, mobiles et à évolution rapide. La distinction entre plasmides et chromosomes a récemment été mise en défaut avec la découverte dans certaines lignées bactériennes d’éléments génomiques intermédiaires, possédant à la fois des caractéristiques de chromosomes et de plasmides. Désignés par le terme de “chromosomes secondaires”, “mégaplasmides” ou “chromid”, ces éléments sont dispersés parmi l

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14

Liu, Yi Hung, and 劉奕宏. "Coffee shop location analysis using GIS and data mining techniques." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/dwufvs.

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碩士<br>國立政治大學<br>資訊科學學系<br>100<br>The number of customers of coffee shop chains has grown steadily in recent years that cause the market size as well as the total consumption value increase rapidly and continuously. The competition among the chain coffee stores get even worse under the traditional profit oriented management style. In such case, it is crucial to make the correct decisions when selecting the coffee shop locations as well as making operation strategies in opening new coffee shops. Traditionally, it takes a great amount of time and human resources in collecting relevant informat

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15

Wu, Chia-Ying, and 吳佳穎. "Evaluation System of Building Damage due to Liquefaction by Data Mining and Web-GIS." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/55919103713060410075.

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碩士<br>長榮大學<br>土地管理與開發學系碩士班<br>92<br>Due to the liquefaction of soils, lots of building damages and related casualties were observed during the Chi-Chi earthquake of Taiwan in 1999. The liquefaction manifestations in Yuanlin, Nantou, Wufeng and Changhua coastal industrial park were more apparent and more extent. Therefore, it is important to study the impact of soil liquefaction on the seismic performance of buildings. This study focuses on Yuanlin area. The factors to cause building damage in liquefaction area are induced through reference review. Multivariate adaptive regression s

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16

Wen, Chi Tsai, and 蔡文期. "Where is the next station: An easy traveler tool combined data mining and google GIS map." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/52617279990836657522.

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碩士<br>國立高雄應用科技大學<br>資訊管理系<br>100<br>Data mining applications is very broad, with the rapid development of internet, Data mining is a very popular field of research. As time went on, the data on the internet will rapidly increase. When the data change, the previous mining result would be not correct, and we need to restart the entire mining process for the new updated data. But restart mining process is waste time, so the incremental mining is popular in recent years. With the two-day weekend vacation policy was came into effect many year, and people use the holiday to travel, planning a backp

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17

"Coal mine flood risk assessment in Wuda coal mining area: using GIS and remote sensing data and hydrological model." 2013. http://library.cuhk.edu.hk/record=b5549724.

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在中国，绝大多数煤矿事故主要是由煤矿瓦斯和煤矿突水造成。统计数据显示，目前煤矿水灾引起的直接经济损失已经排在了所有煤矿灾害之前，煤矿水灾已经日益成为最危险的一种煤矿灾害。现阶段在煤矿完全方面主要目标就是尽量减少发生煤矿瓦斯爆炸和水灾的隐患。因此，对于预防和处理煤矿水灾来说，设计一种快速且准确的煤矿水灾的风险评价方法是非常急需的。传统的风险评价方法需要进行大量的广泛的地质调查来寻找地表裂隙等引起煤矿水灾的分险源。这些裂隙主要是因为地面形变造成，这种地面形变在煤矿区一般是由于地下采矿活动或者煤火造成塌陷引起的，或者两者共同作用引起的。一般情况下，煤矿区地处偏远，高海拔，不宜居住的地方，尤其是有煤火的地方，更加不易进行全面地调查。因此，我们认为使用卫星遥感数据对煤矿区大范围周期性的监测，并及时提取与煤矿水灾相关的信息进行风险分析的方法相对与传统方式来说更为便捷，更为及时。经过对乌达煤矿区的野外调查，我们确定了一些会引起乌达煤矿水灾的致灾因素，例如煤火，剥挖坑，渣堆等特有的因素。<br>本论文提出一个利用遥感，地理信息技术以及水文模型相结合的煤矿区水灾分险评估模型。在这个模型中，首先根据地质和水文数据确定了14个引起该地区水灾灾害的主要影响因素。通过野外调查，专家组一致认为降雨，特别是大暴雨，剥挖坑和地表裂隙是乌达煤矿区最重要的几个因素。分析野外调查成果，可以发现煤火和沉降与试验区地表裂隙

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18

Abdelkareem, Nourhan Khalifa. "Analysis and visualization of energy use for university campus." Master's thesis, 2015. http://hdl.handle.net/10362/14567.

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The reduction of greenhouse gas emissions is one of the big global challenges for the next decades due to its severe impact on the atmosphere that leads to a change in the climate and other environmental factors. One of the main sources of greenhouse gas is energy consumption, therefore a number of initiatives and calls for awareness and sustainability in energy use are issued among different types of institutional and organizations. The European Council adopted in 2007 energy and climate change objectives for 20% improvement until 2020. All European countries are required to use energy with m

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19

Biswal, Shanti Swarup. "Detection and Delineation of Coal Mine Fire and Estimation of Greenhouse Gas Emissions Using Satellite Data." Thesis, 2022. http://ethesis.nitrkl.ac.in/10362/1/2022_PhD_SSBiswal_516MN1001_Detection.pdf.

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Coal is a fossil fuel that tends to catch fire in in-situ conditions primarily due to spontaneous combustion. Many other coal-producing nations across the world, including China, India, the United States of America (USA), Australia, Indonesia, face significant risks due to subsurface and surface coal fires. In-situ coal fires lead to substantial loss of coal and pollute the environment through the emission of toxic gases due to coal burning. Thus, monitoring coal fire propagation is needed to minimize the environmental risk and extreme loss of energy resources. However, monitoring coal fires u

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20

Chen, Tai-li, and 陳泰利. "Design of Dissolved Gas Analysis System and Application of Data Mining to Transformer Dissolved Gas Analysis." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/66bcrv.

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碩士<br>國立臺北科技大學<br>電機工程系研究所<br>99<br>Taiwan Power Company (TPC) has designed and installed a system called Substation Facility Maintenance and Management System (SFMMS). The fundamental data, inspection results and maintenance historical records for all of TPC’s primary substations and distribution substations have been built up and stored in FFMMS. Various data inquiry and management can be easily conducted through SFMMS. Moreover, annual work scheduling can be generated with SFMMS. The facility testing records such as total combustible gases (TCG), SF6 and dissolved gas analysis can be saved

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21

ZHU, SHI-LI, and 朱世立. "Employee education and training from the perspective of data mining: taking a natural gas company for example." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/z6k5np.

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碩士<br>正修科技大學<br>經營管理研究所<br>101<br>The natural gas industry has distinguishing characteristics in terms of its political, public, and social irreplacebility. Owing to its influence on a nation’s energy policy, the rights of users, and the people’s livelihoods, it is dubbed as a form of private utilities, also distinguished by the monopoly and the absence of competitors. With the rise of consumer awareness, customers now have increasingly high expectations of the natural gas industry. To cater to a market-oriented trend, it is imperative that natural gas companies (AKA gas companies) be more ded

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