Gotowe bibliografie tematyczne / Forest mining

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Gotowa bibliografia na temat „Forest mining”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 6 lutego 2022

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Artykuły w czasopismach na temat "Forest mining"

Goparaju, Laxmi, P. Rama Chandra Prasad, and Firoz Ahmad. "Geospatial technology perspectives for mining vis-a-vis sustainable forest ecosystems." Present Environment and Sustainable Development 11, no. 1 (June 1, 2017): 219–38. http://dx.doi.org/10.1515/pesd-2017-0020.

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Abstract Forests, the backbone of biogeochemical cycles and life supporting systems, are under severe pressure due to varied anthropogenic activities. Mining activities are one among the major reasons for forest destruction questioning the survivability and sustainability of flora and fauna existing in that area. Thus, monitoring and managing the impact of mining activities on natural resources at regular intervals is necessary to check the status of their depleted conditions, and to take up restoration and conservative measurements. Geospatial technology provides means to identify the impact

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JYOTSNA, KUMARI, and ABHINAV TANDON. "A MATHEMATICAL MODEL TO STUDY THE IMPACT OF MINING ACTIVITIES AND POLLUTION ON FOREST RESOURCES AND WILDLIFE POPULATION." Journal of Biological Systems 25, no. 02 (April 4, 2017): 207–30. http://dx.doi.org/10.1142/s0218339017500115.

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In this paper, we develop a nonlinear mathematical model that investigates the impact of mining activities and pollution on forest resources and wildlife population. It is assumed that concentration of pollutants grows in the environment at a constant rate and also augments due to different mining activities prevailing in the forest area. The model is formulated in terms of differential equations and analyzed using elements of stability theory and numerical simulation. The obtained results depict that both forest resources as well as wildlife population get very much affected, either directly

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Brown, Sandra, Abu R. J. Mahmood, Katherine M. Goslee, Timothy R. H. Pearson, Hansrajie Sukhdeo, Daniel N. M. Donoghue, and Pete Watt. "Accounting for Greenhouse Gas Emissions from Forest Edge Degradation: Gold Mining in Guyana as a Case Study." Forests 11, no. 12 (December 7, 2020): 1307. http://dx.doi.org/10.3390/f11121307.

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Background and Methods: Degradation of forests in developing countries results from multiple activities and is perceived to be a key source of greenhouse gas emissions, yet there are not reliable methodologies to measure and monitor emissions from all degrading activities. Therefore, there is limited knowledge of the actual extent of emissions from forest degradation. Degradation can be either in the forest interior, with a repeatable defined pattern within areas of forest, as with timber harvest, or on the forest edge and immediately bounding areas of deforestation. Forest edge degradation is

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Triatmojo, Dimas Bagus, Warah Atikah, and Nurul Laili Fadhilah. "Revisiting the Land Conversion of the Protected Forest for the Mining Industry in Tumpang Pitu, Banyuwangi." Indonesian Journal of Law and Society 1, no. 1 (March 30, 2020): 37. http://dx.doi.org/10.19184/ijls.v1i1.16761.

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Indonesia is a country that has abundant natural resources, both renewable and non-renewable. The wealth of natural resources contained in the motherland can be utilized for the needs and welfare of the people of Indonesia under Article 33 paragraph (3) of the 1945 Constitution. One of the natural resources in Indonesia is forests. The government establishes a forest area as a protected forest area for a benefit that is expected by law. There is a violation of the use of protected forest areas for interests outside the forestry sector, namely the conversion of the function of protected forests

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Braun Kohlová, Markéta, Petra Nepožitková, and Jan Melichar. "How Do Observable Characteristics of Post-Mining Forests Affect Their Attractiveness for Recreation?" Land 10, no. 9 (August 28, 2021): 910. http://dx.doi.org/10.3390/land10090910.

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Afforestation is a popular practice of the recovery of landscape affected by open-cast coal mining. We investigated what impact the observable characteristics of restored forests have on their attractiveness for recreation framed as a one hour walk in a respective type of forest. In this study, we elaborate on some of the observable characteristics which have been previously found in the literature to affect the perceived attractiveness of outdoor environments. Environmental preference data were collected online using a quasi-representative sample of affected and control populations of the Cze

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Tchindjang, Mesmin, Eric Voundi, Philippes Mbevo Fendoung, Unusa Haman, Frédéric Saha, and Igor Casimir Njombissie Petcheu. "Mapping of the dilemma of mining against forest and conservation in the Lom and Djérem Division, Cameroon." Proceedings of the ICA 1 (May 16, 2018): 1–7. http://dx.doi.org/10.5194/ica-proc-1-111-2018.

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Mining practices in Cameroon began since the colonial period. The artisanal mining sector before independence contributed to 11&amp;ndash;20&amp;thinsp;% of GDP. From 2000, the rich potential of the Cameroonian subsoil attract many foreign investors with over 600 research and mining permits already granted during the last decade. But, Cameroonian forests also have a long history from the colonial period to the pre-sent. However, mining activities in forest environments are governed by two different legal frameworks, including mining code i.e. Law No. 001 of 16 April 2001 organizing the

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Tetteh, Frederick. "Mining in the Forest Reserve." Journal of Energy & Natural Resources Law 22, no. 2 (May 2004): 241–42. http://dx.doi.org/10.1080/02646811.2004.11433369.

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Rodrigue, J. A., J. A. Burger, and R. G. Oderwald. "Forest Productivity and Commercial Value of Pre-Law Reclaimed Mined Land in the Eastern United States." Northern Journal of Applied Forestry 19, no. 3 (September 1, 2002): 106–14. http://dx.doi.org/10.1093/njaf/19.3.106.

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Abstract The purpose of this study was to investigate the effects of mining practices used prior to the passage of the 1977 Surface Mining Control and Reclamation Act (SMCRA) on forest productivity and commercial value of reclaimed forest sites. Forest productivity and value of 14 mined and 8 nonmined sites throughout the eastern and midwestern coalfield regions were compared. Forest productivity of pre-SMCRA mined sites was equal to or greater than that of nonmined forests, ranging between 3.3 m3ha-1yr-1 and 12.1 m3ha-1yr-1. Management activities such as planting pine and valuable hardwood sp

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Pratiwi, Budi H. Narendra, Chairil A. Siregar, Maman Turjaman, Asep Hidayat, Henti H. Rachmat, Budi Mulyanto, et al. "Managing and Reforesting Degraded Post-Mining Landscape in Indonesia: A Review." Land 10, no. 6 (June 21, 2021): 658. http://dx.doi.org/10.3390/land10060658.

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Tropical forests are among the most diverse ecosystems in the world, completed by huge biodiversity. An expansion in natural resource extraction through open-pit mining activities leads to increasing land and tropical forest degradation. Proper science-based practices are needed as an effort to reclaim their function. This paper summarizes the existing practice of coal mining, covering the regulatory aspects and their reclamation obligations, the practices of coal mining from various sites with different land characteristics, and the reclamation efforts of the post-mining landscapes in Indones

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Buli, Willyam, Samsul Bakri, and Indra Gumay Febryano. "Coal Mining Institution in Private Forest." Jurnal Sylva Lestari 6, no. 3 (October 2, 2018): 81. http://dx.doi.org/10.23960/jsl3681-90.

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Unlicensed Mining (PETI) conducted by community groups in private forest area is rife in Muara Enim district which causing environmental degradation. The purpose of this study is to find out the institutional forms associated with illegal coal mining activities. The study used a qualitative approach that illustrated how unlicensed mining (PETI) still able to operate despite violating the law. The result of this study indicates the existing formal institutions did not run so well which lead to the creation of non-formal institutions who permits illegal activities. There are few technical requir

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Rozprawy doktorskie na temat "Forest mining"

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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Książki na temat "Forest mining"

Cyprian, Ekwensi. Samankwe in the strange forest. [Ikeja]: Longman Nigeria, 1985.

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W, Vernon Robert, ed. Mines of the Gwydyr Forest. Warrington: Gwydyr Mines Publications, 1997.

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W, Vernon Robert, ed. Mines of the Gwydyr Forest. Cuddington (7 St Johns Way, Cuddington, Cheshire CW8 2LX): Gwydyr Mines, 1990.

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Bennett, John. Mines of the Gwydyr Forest. Cuddington: Gwydyr Mines Publications., 1993.

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Bennett, John. Mines of the Gwydyr Forest. Cuddington: Gwydyr Mines Publications, 1992.

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Buchan, Jon. Code of the forest: A novel. Charleston, SC: Joggling Board Press, 2012.

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Governance of minerals and natural resources: Mining, oil, forest and land. Nairobi, Kenya: Paulines Publications Africa, 2014.

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Mystic Ranger District (S.D.). Section 30 limestone mining project: Draft environmental impact statement. Rapid City, S.D: USDA Forest Service, Black Hills National Forest, Mystic Ranger District, 2012.

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Canada. Committee on the Competitiveness of the Resource Industries. Competitiveness in the Canadian mining and forestry industries. Ottawa: National Advisory Board on Science and Technology, 1993.

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Raumolin, Jussi. Restructuring and internationalization of the forest, mining and related engineering industries in Finland. Helsinki, Finland: Elinkeinoelämän Tutkimuslaitos, 1988.

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Części książek na temat "Forest mining"

Bartle, J., and G. C. Slessar. "Mining and rehabilitation." In The Jarrah Forest, 357–77. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-3111-4_19.

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Žižka, Jan, František Dařena, and Arnošt Svoboda. "Random Forest." In Text Mining with Machine Learning, 193–200. First. | Boca Raton : CRC Press, 2019.: CRC Press, 2019. http://dx.doi.org/10.1201/9780429469275-8.

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Ibarra, José Manuel Nicolau, and Mariano Moreno de las Heras. "Opencast Mining Reclamation." In Forest Restoration in Landscapes, 370–78. New York, NY: Springer New York, 2005. http://dx.doi.org/10.1007/0-387-29112-1_53.

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Browne, James, Disa Mhembere, Tyler M. Tomita, Joshua T. Vogelstein, and Randal Burns. "Forest Packing: Fast Parallel, Decision Forests." In Proceedings of the 2019 SIAM International Conference on Data Mining, 46–54. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2019. http://dx.doi.org/10.1137/1.9781611975673.6.

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Adnan, Md Nasim, and Md Zahidul Islam. "Forest CERN: A New Decision Forest Building Technique." In Advances in Knowledge Discovery and Data Mining, 304–15. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31753-3_25.

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Gondane, Rajhans, and V. Susheela Devi. "Classification Using Rough Random Forest." In Mining Intelligence and Knowledge Exploration, 70–80. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26832-3_8.

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Shi, Mohan, Zhihai Wang, Jidong Yuan, and Haiyang Liu. "Random Pairwise Shapelets Forest." In Advances in Knowledge Discovery and Data Mining, 68–80. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93034-3_6.

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Bayazit, Alper, Petek Askar, and Erdal Cosgun. "Predicting Learner Answers Correctness Through Eye Movements with Random Forest." In Educational Data Mining, 203–26. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02738-8_8.

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Adnan, Md Nasim, and Md Zahidul Islam. "Effects of Dynamic Subspacing in Random Forest." In Advanced Data Mining and Applications, 303–12. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69179-4_21.

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Borges, Fábbio, Ivan Silva, Ricardo Fernandes, and Lucas Moraes. "Classification of Power Quality Disturbances Using Forest Algorithm." In Data Mining and Big Data, 247–52. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40973-3_24.

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Streszczenia konferencji na temat "Forest mining"

Liu, Fei Tony, Kai Ming Ting, and Zhi-Hua Zhou. "Isolation Forest." In 2008 Eighth IEEE International Conference on Data Mining (ICDM). IEEE, 2008. http://dx.doi.org/10.1109/icdm.2008.17.

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Bicego, Manuele. "Dissimilarity Random Forest Clustering." In 2020 IEEE International Conference on Data Mining (ICDM). IEEE, 2020. http://dx.doi.org/10.1109/icdm50108.2020.00105.

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Zaki, Mohammed J. "Efficiently mining frequent trees in a forest." In the eighth ACM SIGKDD international conference. New York, New York, USA: ACM Press, 2002. http://dx.doi.org/10.1145/775047.775058.

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JinMing Li and RongQi Liu. "Applying data mining to forest maturity forecasting." In 2008 3rd International Conference on Intelligent System and Knowledge Engineering (ISKE 2008). IEEE, 2008. http://dx.doi.org/10.1109/iske.2008.4730954.

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Vens, Celine, and Fabrizio Costa. "Random Forest Based Feature Induction." In 2011 IEEE 11th International Conference on Data Mining (ICDM). IEEE, 2011. http://dx.doi.org/10.1109/icdm.2011.121.

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Zhu, Jie, Ying Shan, J. C. Mao, Dong Yu, Holakou Rahmanian, and Yi Zhang. "Deep Embedding Forest." In KDD '17: The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3097983.3098059.

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Pang, Ming, Kai-Ming Ting, Peng Zhao, and Zhi-Hua Zhou. "Improving Deep Forest by Confidence Screening." In 2018 IEEE International Conference on Data Mining (ICDM). IEEE, 2018. http://dx.doi.org/10.1109/icdm.2018.00158.

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Huang, Yanping, Feilong Ling, Bo Wu, Lina Bai, and Xin Tian. "Forest/non-forest mapping using ENVISAT ASAR data in Northeast China." In 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM). IEEE, 2011. http://dx.doi.org/10.1109/icsdm.2011.5969069.

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Jin, Yujia, Qi Bao, and Zhongzhi Zhang. "Forest Distance Closeness Centrality in Disconnected Graphs." In 2019 IEEE International Conference on Data Mining (ICDM). IEEE, 2019. http://dx.doi.org/10.1109/icdm.2019.00044.

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Rana, Santu, Sunil Kumar Gupta, and Svetha Venkatesh. "Differentially Private Random Forest with High Utility." In 2015 IEEE International Conference on Data Mining (ICDM). IEEE, 2015. http://dx.doi.org/10.1109/icdm.2015.76.

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Raporty organizacyjne na temat "Forest mining"

Kindt, Roeland, Ian K Dawson, Jens-Peter B Lillesø, Alice Muchugi, Fabio Pedercini, and James M Roshetko. The one hundred tree species prioritized for planting in the tropics and subtropics as indicated by database mining. World Agroforestry, 2021. http://dx.doi.org/10.5716/wp21001.pdf.

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A systematic approach to tree planting and management globally is hindered by the limited synthesis of information sources on tree uses and species priorities. To help address this, the authors ‘mined’ information from 23 online global and regional databases to assemble a list of the most frequent tree species deemed useful for planting according to database mentions, with a focus on tropical regions. Using a simple vote count approach for ranking species, we obtained a shortlist of 100 trees mentioned in at least 10 of our data sources (the ‘top-100’ species). A longer list of 830 trees that

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Peterson, D. J., Tom LaTourrette, and James T. Bartis. New Forces at Work in Mining: Industry View of Critical Technologies. Office of Scientific and Technical Information (OSTI), April 2007. http://dx.doi.org/10.2172/1218655.

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Borenstein, Severin, and Joseph Farrell. Do Investors Forecast Fat Firms? Evidence from the Gold Mining Industry. Cambridge, MA: National Bureau of Economic Research, April 1999. http://dx.doi.org/10.3386/w7075.

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W., Huang, and Wilkes A. Analysis of approvals for Chinese companies to invest in Africa’s mining, agriculture and forestry sectors. Center for International Forestry Research (CIFOR), 2011. http://dx.doi.org/10.17528/cifor/003720.

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K.N., Funoh. The impacts of artisanal gold mining on local livelihoods and the environment in the forested areas of Cameroon. Center for International Forestry Research (CIFOR), 2014. http://dx.doi.org/10.17528/cifor/005089.

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Chen, G., and Z. Chen. Extreme river flow prediction for river water supply to oil sands mining sites, Athabasca River near Fort McMurray, Alberta,. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/299742.

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Burns, L. E. CD-ROM containing gridded files in Geosoft format and section lines of 2000 geophysical survey for the Salcha River-Pogo mining area, central Alaska. Alaska Division of Geological & Geophysical Surveys, February 2000. http://dx.doi.org/10.14509/2764.

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Barquet, Karina, Elin Leander, Jonathan Green, Heidi Tuhkanen, Vincent Omondi Odongo, Michael Boyland, Elizabeth Katja Fiertz, Maria Escobar, Mónica Trujillo, and Philip Osano. Spotlight on social equity, finance and scale: Promises and pitfalls of nature-based solutions. Stockholm Environment Institute, June 2021. http://dx.doi.org/10.51414/sei2021.011.

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Human activity has modified and deteriorated natural ecosystems in ways that reduce resilience and exacerbate environmental and climate problems. Physical measures to protect, manage and restore these ecosystems that also address societal challenges in sustainable ways and bring biodiversity benefits are sometimes referred to as “nature-based solutions” (NBS). For example, reducing deforestation and restoring forests is a major opportunity for climate mitigation, while protecting or restoring coastal habitats can mitigate damage to coastal areas from natural hazard events, in addition to poten

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Geophysical Series, NTS 21-O/9 and part of 21-O/10, Tetagouche Lakes and part of Upsalquitch Forks, MEGATEM II Survey, Bathurst Mining Camp, New Brunswick. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2008. http://dx.doi.org/10.4095/225881.

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