Journal articles: 'Mining'

1

Seely Brown, John. "Minding and Mining the Periphery." Long Range Planning 37, no. 2 (April 2004): 143–51. http://dx.doi.org/10.1016/j.lrp.2004.01.001.

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Mudrooroo. "Mining the Earth without Minding the Earth." World Literature Today 67, no. 3 (1993): 569. http://dx.doi.org/10.2307/40149371.

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Wang, Pu. "Research on the Mechanism of Web Data Mining in Electronic Commerce Application." Applied Mechanics and Materials 687-691 (November 2014): 3003–6. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.3003.

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At present, the growth of the Internet has brought us a vast amount of information that we can hardly deal with. To solve the flood of information, various data mining systems have been created to assist and augment this natural social process. Data minig recommender systems have been developed to automate the recommendation process. Data mining recommender systems can be found at many electronic commerce applications. In this paper, a recommendation mechanism of web data mining in electronic commerce application is given. Then, presents the workflow of the web data mining in electronic commcer. Lastly, the usage of the tools of web data mining is described.

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Nagasivaanjaneya Reddy R, Sunkara. "Web Mining." International Journal of Science and Research (IJSR) 12, no. 3 (March 5, 2023): 900–903. http://dx.doi.org/10.21275/sr23303173846.

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SAWADA, Kenji. "Mining Information and Mining Policy." Shigen-to-Sozai 120, no. 9 (2004): 532–34. http://dx.doi.org/10.2473/shigentosozai.120.532.

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Jelen, Jakub. "Mining Heritage and Mining Tourism." Czech Journal of Tourism 7, no. 1 (June 1, 2018): 93–105. http://dx.doi.org/10.1515/cjot-2018-0005.

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Abstract The mining industry leaves behind a large number of tangible or intangible remains. A part of them can be used by different actors as a mining heritage. Specific cultural or social values and meanings, which remind of the importance of mining in the past and today, are represented through this mining heritage. To preserve them, the heritage must be passed to future generations. One of the ways is mining tourism. However, the relation between the mining heritage and tourism is not simple as the complex mining heritage has many specific features that differ from the traditional tourist attractions and conceal many pitfalls. The aspects of authenticity or approaches to heritage interpretation are also important.

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Murray, L. "The mining pioneers [mining - Finland]." Engineering & Technology 17, no. 10 (November 1, 2022): 60–63. http://dx.doi.org/10.1049/et.2022.1005.

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8

Stoffel, Kilian. "Web + Data Mining = Web Mining." HMD Praxis der Wirtschaftsinformatik 46, no. 4 (August 2009): 6–20. http://dx.doi.org/10.1007/bf03340377.

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Choi, Seung Joo, and Jong-bae Kim. "Comparison of Mining Capability between ASIC Mining and GPU Mining." Asia-pacific Journal of Multimedia services convergent with Art, Humanities, and Sociology 7, no. 5 (May 31, 2017): 829–36. http://dx.doi.org/10.14257/ajmahs.2017.05.03.

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SINAGA, MARKUSDIAN, and ACHMAD ZAINI. "PERBANDINGAN PENDAPATAN USAHATANI PADI SAWAH (Oryza sativa L.) DI DALAM DAN DI LUAR AREAL TAMBANG (Studi Kasus Areal Tambang PT. Multi Harapan Utama di Desa Jonggon Jaya Kecamatan Loa Kulu) (The Income Comparison of Wetland Paddy Farming (Oryza sativa L.) in Inside and Outside of Mining Area (Case Study Mining Area of PT. Multi Harapan Utama in Jonggong Jaya Village Loa Kulu Subdistrict))." JURNAL AGRIBISNIS DAN KOMUNIKASI PERTANIAN (Journal of Agribusiness and Agricultural Communication) 3, no. 1 (April 20, 2020): 57. http://dx.doi.org/10.35941/jakp.3.1.2020.3531.57-62.

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The purposes of this research were to determine the income of wetland paddy farming in inside and outside of mining area and to compare both of them. This research was conducted from August to October 2018 in minning area of PT. Multi Harapan Utama, Jonggon Jaya Village, Loa Kulu Subdistrict. Data collection was done through direct interview toward 33 respondents. Data was analyzed to count income and to do t test. The result of this research showed that the average income of wetland paddy farming in inside mining area was IDR12,049,299.99 ha-1ps-1 while the average income of wetland paddy farming in outside mining area was IDR10,663,654.70 ha-1ps-1. Income of wetland paddy farming in inside mining area was bigger than that in outside mining area based on tcount > ttable (3.637 > 2.039).

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M., Inbavalli. "An Intelligent Agent based Mining Techniques for Distributed Data Mining." Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (March 31, 2020): 610–17. http://dx.doi.org/10.5373/jardcs/v12sp4/20201527.

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Gorzala, Jeannette, and Martin Hanzl. "Mining." Zeitschrift für das gesamte Bank- und Börsenwesen 66, no. 8 (2018): 560. http://dx.doi.org/10.47782/oeba201808056001.

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Yasuda, Akio. "Reviewing "Text Mining": Textual Data Mining." IEEJ Transactions on Electronics, Information and Systems 125, no. 5 (2005): 682–89. http://dx.doi.org/10.1541/ieejeiss.125.682.

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CHEN, ZHENGXIN. "FROM DATA MINING TO BEHAVIOR MINING." International Journal of Information Technology & Decision Making 05, no. 04 (December 2006): 703–11. http://dx.doi.org/10.1142/s0219622006002271.

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Knowledge economy requires data mining be more goal-oriented so that more tangible results can be produced. This requirement implies that the semantics of the data should be incorporated into the mining process. Data mining is ready to deal with this challenge because recent developments in data mining have shown an increasing interest on mining of complex data (as exemplified by graph mining, text mining, etc.). By incorporating the relationships of the data along with the data itself (rather than focusing on the data alone), complex data injects semantics into the mining process, thus enhancing the potential of making better contribution to knowledge economy. Since the relationships between the data reveal certain behavioral aspects underlying the plain data, this shift of mining from simple data to complex data signals a fundamental change to a new stage in the research and practice of knowledge discovery, which can be termed as behavior mining. Behavior mining also has the potential of unifying some other recent activities in data mining. We discuss important aspects on behavior mining, and discuss its implications for the future of data mining.

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Settino, Marzia, Alessandro Ruffolo, and Francesco La Regina. "“Mining” the sky from data mining." Acta Astronautica 59, no. 6 (September 2006): 499–502. http://dx.doi.org/10.1016/j.actaastro.2006.03.006.

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Jang, Myounghwan. "A Study on Mining Design and Mining Method of Retreat Mining." Journal of the Korean Society of Mineral and Energy Resources Engineers 57, no. 1 (February 1, 2020): 127–36. http://dx.doi.org/10.32390/ksmer.2020.57.1.127.

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Ben-Awuah, Eugene, Otto Richter, Tarrant Elkington, and Yashar Pourrahimian. "Strategic mining options optimization: Open pit mining, underground mining or both." International Journal of Mining Science and Technology 26, no. 6 (November 2016): 1065–71. http://dx.doi.org/10.1016/j.ijmst.2016.09.015.

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Zhang, Jixiong, Qiang Zhang, A. J. S. (Sam) Spearing, Xiexing Miao, Shuai Guo, and Qiang Sun. "Green coal mining technique integrating mining-dressing-gas draining-backfilling-mining." International Journal of Mining Science and Technology 27, no. 1 (January 2017): 17–27. http://dx.doi.org/10.1016/j.ijmst.2016.11.014.

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19

Ali, Muhammad Rajif. "TANGGAPAN MASYARAKAT TENTANG HADIRNYA PERTAMBANGAN ASPAL DI DESA WINNING KECAMATAN PASARWAJO KABUPATEN BUTON." Jurnal Penelitian Pendidikan Geografi 3, no. 2 (April 1, 2018): 157. http://dx.doi.org/10.36709/jppg.v3i2.9156.

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This study aims to describe the public perception of the existence of asphalt minning in relation to the environmental inpact caused in the Winning Vilage of Pasar wajo Distric in Buton District. This research is descriptive qualitative whit case study approach. Data collection is done by using method: questionare, interview, observation and documentation. Data obtained from 55 respondents, then presented in tabular from percentage, then described qualitatively. The result showed that the public response about the presence of asphalt mining in Winning Vilage, divided into positive and negative impacts. Positive impacts of asphalt mining such as: increased local income, creation of employment opportunities for local communities, exposure of territories from isolason. While the negative impact is asphalt mining activities caused environmental damage include: 1) land danmage, land disruption, 2) Damage to flora and fauna, communities responding to asphalt mining activities caused damage to vegetation and people responded to asphalt mining activities causing damage/wild animal/wildlife, 3) The contamination river water, times and swamps where people respond to the mining activitie of asphalt cause pollution of riverwater/times and swamps, 4) Air pollution mainly dust produced from the development process and the means of transportation passing by, 5) Noise, where people respount to asphalt mining activities generate noise, 6) The existence of healt problems where people respoud to asphalt mining activities cause public health problems,

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Тихонова, Elena Tikhonova, Трещевская, Ella Treshchevskaya, Панков, Yakov Pankov, Малинина, and Tatyana Malinina. "Chemical composition of vegetation in man-made landscapes Kursk magnetic anomaly." Forestry Engineering Journal 6, no. 3 (October 10, 2016): 48–53. http://dx.doi.org/10.12737/21679.

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The open-mining leads to the formation of the post-miningo or disturbed lands, which are characterized by extreme conditions. The largest area of the post-mining and disturbed lands in Central Black Soil Region are situated near the Kursk magnetic anomaly enterprises. The main direction of the restoration of the post-mining lands is the forestry reclamation. The biocenosis contribute to changes of substrates properties and their transformation into primary soil (“em-bryonic soils”). The dumps vegetation absorbs nitrogen, ash elements and heavy metals from the substrate and air and returns the above-mentioned elements with litter.

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PYLYPIUK, Tetiana, and Viktor SHCHYRBA. "DATA MINING METHODS." Collection of scientific papers Kamianets-Podilsky Ivan Ohienko National University Pedagogical series 29 (December 14, 2023): 7–10. http://dx.doi.org/10.32626/2307-4507.2023-29.7-10.

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Research is devoted to Data Mining methods. A comparison of classical and mathematical and statistical methods of data analysis was made. One of the variants of correlation analysis method for intelligent data analysis is proposed and described in an argumentative manner. The question of applying different methodologies for Data Mining is actual. Classically, the following methods of knowledge discovery and analysis are offered in Data Mining: classification; regression; forecasting time sequences (series); clustering; association. As mathematical and statistical methods of analysis in applied research, the most of authors offer such methods as: statistical hypothesis testing, regression models construction and research. Since most real models are not amenable to analysis using classical methods, including regression analysis, the authors propose to use correlational analysis method in Data Mining.

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22

Singh, Priya, and Ajit Kumar Behura. "Feminist Mining: A Step Towards Sustainable Mininig in India." Problemy Ekorozwoju 17, no. 1 (January 1, 2022): 235–45. http://dx.doi.org/10.35784/pe.2022.1.21.

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Economic growth and development with least harm to the environment is one of the biggest challenges for the human. Mining which is considered to be the most inherently unsustainable industry, is at the same time, plays key role in the development process in India and across Globe. It occupy primary position in the supply chain, contributing to the foreign direct investment, exports, government taxes, GDP (National Income) and provide huge labour employment. This paper studies industrial elimination of women, prolong industrial patriarchy, impetuous production, rising demand pressure has added to the quadrupling problems of land degradation, disposal of over burden/waste discharge, deforestation, pollution(air, water, and noise), and damage to forest flora and fauna, occupational health hazards and extreme global environmental damage in a rapid, continuous manner. These continuous and multi-layered problems are giving us reason to re-visioning steps, where we went wrong. Theoretical foundation of eco-feminism traces that negligence and suppression of women in general and in the mining industry, is one of the probable cause that hit environment fiercely. With this in mind, this paper suggests theory of eco-feminism into male centric mining industry as a perspective which is more likely to lead to industrial sustainability, making it more responsible and may provide pro-environmental solutions to the industry. This feminist concept extending it from individualistic level into mining organisations proposes as one of the alternative to combine ecology and commerce to envision sustainability.

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23

Kwame, Boakye Agyapong, J.B.Hayfron-Acquah Dr., and M. Asante Dr. "AN OPTIMIZED PAGE RANK ALGORITHM WITH WEB MINING, WEB CONTENT MINING AND WEB STRUCTURE MINING." International Journal of Engineering Technologies and Management Research 4, no. 8 (September 21, 2017): 22–27. https://doi.org/10.5281/zenodo.914660.

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With the rapid increase in internet technology, users get easily confused in large hypertext structure. The primary goal of the web site owner is to provide the relevant information to the users to fulfill their needs. In order to achieve this goal, they use the concept of web mining. Web mining is used to categorize users and pages by analyzing the users" behaviour, the content of the pages, and the order of the URLs that tend to be accessed in order. Most of the search engines are ranking their search results in response to users' queries to make their search navigation easier. With a web browser, one can view web pages that may contain text, images, videos, and other multimedia, and navigate between them via hyperlinks. It is very difficult for a user to find the high quality information which he wants. Page Ranking algorithm is needed which provide the higher ranking to the important pages. In this paper, we discuss the improvement of Page ranking algorithm to provide the higher ranking to important pages. Most of the search engines are ranking their search results in response to user’s queries to make their search navigations easier.

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24

-Marcotorchino, Jean-François. "Les technologies avancées de l'analyse de l'information : Text Mining, Data Mining et Fusion Data Mining-Text Mining." Revue de l'Electricité et de l'Electronique -, no. 07 (2001): 56. http://dx.doi.org/10.3845/ree.2001.077.

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Shah Neha K, Shah Neha K. "Introduction of Data mining and an Analysis of Data mining Techniques." Indian Journal of Applied Research 3, no. 5 (October 1, 2011): 137–39. http://dx.doi.org/10.15373/2249555x/may2013/41.

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Neha K, Shah. "Introduction of Text mining and an Analysis of Text mining Techniques." Paripex - Indian Journal Of Research 2, no. 2 (January 15, 2012): 56–57. http://dx.doi.org/10.15373/22501991/feb2013/18.

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Wickremasinghe, W. N. "Mining for treasures of information: data mining." Ceylon Journal of Medical Science 45, no. 1 (June 23, 2002): 39. http://dx.doi.org/10.4038/cjms.v45i1.4861.

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S, Vishesh, Manu Srinath, Supriya Ramarao Prasanna, and Supriya Yadati Narasimhulu. "Data Mining, Internet Marketing and Web Mining." IJARCCE 6, no. 3 (March 30, 2017): 507–9. http://dx.doi.org/10.17148/ijarcce.2017.63117.

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29

C, Christys, and Arivalagan S. "Text Mining Techniques in Data Mining – Review." International Journal of Data Mining Techniques and Applications 7, no. 1 (March 15, 2018): 181–85. http://dx.doi.org/10.20894/ijdmta.102.007.001.029.

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Brueckner, Martin, Rochelle Spencer, Sally Knowles, and Megan Paull. "Mining legacies––Broadening understandings of mining impacts." Extractive Industries and Society 8, no. 3 (September 2021): 100950. http://dx.doi.org/10.1016/j.exis.2021.100950.

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Monteiro, Nathalie Barbosa Reis, Ana Keuly Luz Bezerra, José Machado Moita Neto, and Elaine Aparecida da Silva. "Mining Law: In Search of Sustainable Mining." Sustainability 13, no. 2 (January 16, 2021): 867. http://dx.doi.org/10.3390/su13020867.

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Mining is an activity that generates inputs to different production chains, making it essential for any country’s development. However, it causes environmental, economic, and social impacts that must be considered. The Mining Law provides guidelines, through laws and regulations, so the activity can be carried out in an environmentally, economically, and socially sustainable way. In this paper, an analysis was conducted of the application of some peculiar characteristics of Brazilian Mining Law (locational rigidity, priority granting, among others) according to the parameters established in the Federal Constitution, in the Mining Code and its updates, and in the National Department of Mineral Production, Environment Ministry, and Mines and Energy Ministry normative acts. Moreover, the Superior Court of Justice Jurisprudence was analyzed to understand how the Mining Law is applied, in practice. It was verified that the Brazilian legislation is not perfect, but it has mechanisms to protect and benefit the miner, the society, and the environment. However, there are many shortcomings like the lack of speed in judging processes and the flaws in the applicability of some principles that compromise sustainability in the activity’s development, especially regarding the environmental and social liabilities left after mine closure.

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Kislyakov, V. Е., and P. V. Katyshev. "SURFACE MINING FAN-SHAPED MINING METHOD INVESTIGATION." Ugol’, no. 06 (June 8, 2017): 11–16. http://dx.doi.org/10.18796/0041-5790-2017-6-11-16.

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33

Williams, L. "Sustainability - Mining. Can mining ever go green?" Engineering & Technology 15, no. 1 (February 1, 2020): 48–51. http://dx.doi.org/10.1049/et.2020.0106.

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Natarajan, Jeyakumar. "Text Mining Perspectives in Microarray Data Mining." ISRN Computational Biology 2013 (November 5, 2013): 1–5. http://dx.doi.org/10.1155/2013/159135.

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Current microarray data mining methods such as clustering, classification, and association analysis heavily rely on statistical and machine learning algorithms for analysis of large sets of gene expression data. In recent years, there has been a growing interest in methods that attempt to discover patterns based on multiple but related data sources. Gene expression data and the corresponding literature data are one such example. This paper suggests a new approach to microarray data mining as a combination of text mining (TM) and information extraction (IE). TM is concerned with identifying patterns in natural language text and IE is concerned with locating specific entities, relations, and facts in text. The present paper surveys the state of the art of data mining methods for microarray data analysis. We show the limitations of current microarray data mining methods and outline how text mining could address these limitations.

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Neale, Timothy, and Eve Vincent. "Mining, indigeneity, alterity: or, mining Indigenous alterity?" Cultural Studies 31, no. 2-3 (April 25, 2017): 417–39. http://dx.doi.org/10.1080/09502386.2017.1303435.

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Baena-Garcı´a, M., and R. Morales-Bueno. "Mining interestingness measures for string pattern mining." Knowledge-Based Systems 25, no. 1 (February 2012): 45–50. http://dx.doi.org/10.1016/j.knosys.2011.01.013.

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Nijat Babayev, Nijat Babayev. "WEB MINING: DATA MINING ON THE INTERNET." PAHTEI-Procedings of Azerbaijan High Technical Educational Institutions 23, no. 12 (December 19, 2022): 182–93. http://dx.doi.org/10.36962/pahtei23122022-182.

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In the article“Web Mining: Data Mining on the Web” 3 different components of Web Mining have been described and mainly Web Usage Mining has been discussed in detail and analyzed with examples. The general theme of the article is clarified by giving such sub-topics: Difficulties in analyzing data from the Internet, Stages of Web-Mining, Analysis of the use of Web resources (Web Usage Mining), Web Server Log Files and etc. General Relationships Between Web Mining Categories and Data Mining Tasks are shown. At the end, in the Conclusion, it is shown that to solve such problems, Data Mining technology is used. This name refers to a set of methods that allow us to extract useful information according to certain rules from the amount of collected data in which this information is implicitly contained. In this case, both statistical and intellectual processing methods are used. Keywords: Web-Mining, Data Mining Methods, Data from the Internet, Web Usage Mining, User Session Identification.

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Wu, Xin-Dong, Xing-Quan Zhu, Qi-Jun Chen, and Fei-Yue Wang. "Ubiquitous Mining with Interactive Data Mining Agents." Journal of Computer Science and Technology 24, no. 6 (November 2009): 1018–27. http://dx.doi.org/10.1007/s11390-009-9291-7.

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Harit Priyadarshi, Nasim, B. N. Dubey, Meenali Modi. "Green Mining: Environmental Ethics in Mining Engineering." Tuijin Jishu/Journal of Propulsion Technology 44, no. 3 (October 28, 2023): 3099–104. http://dx.doi.org/10.52783/tjjpt.v44.i3.1286.

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Green mining, an evolving paradigm within mining engineering, is driven by a commitment to environmental ethics and sustainability. This article explores the principles, benefits, and challenges associated with green mining, presenting a comprehensive view of its potential transformation of the mining industry. Traditional mining practices have historically resulted in habitat destruction, air and water pollution, and other environmental challenges. However, green mining principles emphasize resource efficiency, minimal environmental disturbance, responsible waste management, and social responsibility. The adoption of these principles promises numerous advantages, including environmental conservation, reduced carbon footprint, economic efficiency, and long-term sustainability. Despite various challenges, such as economic pressures and regulatory hurdles, the transition to green mining is gaining momentum. This shift embodies an ethical imperative and a practical approach to ensuring responsible resource extraction while preserving the planet's delicate ecosystems and the well-being of local communities.

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Aliya Bukayeva. "Globalization in mining. Global, regional, local mining review. Comparative analysis with Kazakhstan mining." Asia-Pacific Journal of Business Venturing and Entrepreneurship 5, no. 1 (March 2010): 81–91. http://dx.doi.org/10.16972/apjbve.5.1.201003.81.

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Dr., Nirmla Sharma. "Emerging Trends of web Mining Through Cloud Mining (Bitcoin) in Business Companies." International Journal of Engineering and Advanced Technology (IJEAT) 13, no. 2 (December 30, 2023): 1–6. https://doi.org/10.35940/ijeat.B4319.1213223.

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Abstract: In this paper we show research about how to mine valuable knowledge on the web mining through cloud mining in business companies and comparison about web mine. This paper illustrates the recent, previous, and upcoming web mining by cloud mining. Now we initiate real-time data set for recovery facts on the network i.e., web content mining, and the detection of client approach relationships from cloud servers, i.e., web management mining that enhance the web mining problems. Moreover, we similarly illustrated web mining through cloud mining in business companies. Cloud mining is an upcoming Web Mining. That is the main benefit of the company looking after all the usual mining problems. Cloud mining decreases the costs correlated with running a mining rig. Cloud mining is a procedure to mine cryptocurrency like bitcoin, by leased cloud computing operate without connecting or promptly governing the hardware and associated software. The initial processor that has observed a result to the problem catches the succeeding Bitcoin block, and the procedure remains. Bitcoin mining needs advanced hardware to explain difficult calculations and arithmetic challenges. In this paper we have discussed to work and is beneficial for business companies. We have proposed a structure for a cloud mining service. These services are supported by business model and strategy, hardware procurement and setup, user interface and dashboard and customer support and education etc. Cloud mining service deals are often tricks, or rip-offs. Cloud mining suppliers and companies benefit by leasing away their hardware in replace for funds. Trading mining hardware seems like a prospect’s agreement for saving ruses.

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Kutina, Jan. "U.S. Mining in a global context - Comments on the Mining Law Reform." Global Tectonics and Metallogeny 6, no. 1 (August 1, 1996): 43–56. http://dx.doi.org/10.1127/gtm/6/1996/43.

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Seijas, Tatiana, and Dana Velasco Murillo. "Introduction: a new mining and minting history for the Americas." Colonial Latin American Review 30, no. 4 (October 2, 2021): 485–97. http://dx.doi.org/10.1080/10609164.2021.1996977.

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Studnicki-Gizbert, Daviken. "Afterword: mining, minting, and money – from within and from below." Colonial Latin American Review 30, no. 4 (October 2, 2021): 611–20. http://dx.doi.org/10.1080/10609164.2021.1997005.

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Putri, Adinda Novalia Retnaning, Dimas Aulia Rifqi, Maria Apolonia Prakris, Khairunnisa Amalia Khalaidah, Umiliya Arfah Amanda, and Abdul Kodir. "Penolakan aktivitas tambang pasir dan konflik sosial di Kabupaten Lumajang, Jawa Timur." Jurnal Integrasi dan Harmoni Inovatif Ilmu-Ilmu Sosial (JIHI3S) 1, no. 7 (July 19, 2021): 815–23. http://dx.doi.org/10.17977/um063v1i7p815-823.

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As we know that Indonesia is one of the nations with abundant natural potential, which is caused by it’s adequate natural resources. These days, we are familiar with a lot of utilization of our natural resources, which one of them is mining. But if we see from day to day, this utilization term got misused by some part of company to hide their exploitation act towards the nature. Like the minning case that have been done by PT Indo Modern Minning Sejahtera (PT IMMS) in Lumajang regency, East Java. This minning activity got a lot of criticism from the citizens around the area because it is considered to conduce another natural problems caused by the lack of company’s management and attention towards its waste and former mining land, until an exhalation illness (which is in this case is ISPA) that infected many of citizens because of the pollution from mining activity. The rejection against this mining activity finally culminate to violence act from PT IMMS (by sending their people) towards two local citizens around the area. This article is rely on literature studies, which is the writer collect some trusted news related to this mining problem. This case was analized by using vertical conflict concept which put forward by Karl Marx, and then reviewed with social conflict in an organization. Seperti yang sudah kita ketahui bahwa Indonesia adalah salah satu negara dengan potensi alam yang melimpah, dikarenakan sumber daya alamnya yang sangat memadai. Pada hari ini kita sudah tidak asing lagi dengan berbagai penggunaan sumber daya alam, salah satunya ialah pertambangan. Namun, bila dilihat dari hari ke hari, istilah pemanfaatan ini kemudian disalahgunakan oleh beberapa pihak untuk menutupi tindakan eksploitasi. Layaknya kasus pertambangan yang dilakukan oleh PT Indo Modern Mining Sejahtera (IMMS) yang terjadi di kabupaten Lumajang, Jawa Timur. Aktivitas pertambangan ini banyak dikecam oleh warga sekitar karena menimbulkan masalah alam lainnya akibat kurangnya pengelolaan dan perhatian perusahaan terhadap limbah dan lahan bekas pertambangan, hingga penyakit pernafasan (ISPA) yang menjangkit para warga akibat terpapar polusi dari aktivitas pertambangan. Penolakan ini juga berujung pada terjadinya kekerasan fisik terhadap warga yang menentang adanya aktivitas tambang oleh preman-preman dari pihak PT IMMS. Artikel ini ditulis mengandalkan studi literatur, dimana penulis mengumpulkan berita terkait permasalahan aktivitas pertambangan PT IMMS dari sumber terpercaya. Kasus ini kemudian penulis analisa menggunakan konsep konflik vertikal yang dikemukakan oleh Karl Marx, serta dikaji menggunakan konsep konflik sosial dalam sebuah organisasi.

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Barteld, Fabian, and Alexander Ziem. "Construction mining." Belgian Journal of Linguistics, Volume 34 (2020) 34 (December 31, 2020): 5–16. http://dx.doi.org/10.1075/bjl.00030.bar.

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Abstract The German Constructicon Project (www.german-constructicon.de) aims at documenting grammatical constructions in contemporary standard German on the basis of annotated corpus examples, including relations between constructions and between constructions and evoked semantic frames. So far, the research focus has been mainly on the development and computational implementation of a constructicographic workflow (including a parsing pipeline) that allows for addressing any kind of constructions on varying levels of schematicity, idiomaticity, and abstractness. However, such an exemplar-driven procedure precludes us from systematically identifying constructional candidates. In this article, we scrutinize ways to operationalize and implement data-mining procedures to inductively identify construction candidates.

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Tsuta, Mizuki. "Data Mining." Nippon Shokuhin Kagaku Kogaku Kaishi 64, no. 6 (2017): 334–35. http://dx.doi.org/10.3136/nskkk.64.334.

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Kassymkanova, H., G. Jangulova, E. Zhalgasbekov, and G. Baidauletova. "Mining waste." Journal of Geography and Environmental Management 40, no. 1 (2015): 172–75. http://dx.doi.org/10.26577/jgem.2015.1.178.

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Rossini, Luiz Amelio Sodaite, Renan Ricardo de Polli Silva, Eder Carlos Salazar Sotto, and Liriane Soares De Araújo. "DATA MINING." Revista Interface Tecnológica 15, no. 2 (December 30, 2018): 50–59. http://dx.doi.org/10.31510/infa.v15i2.486.

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A Mineração de Dados (Data Mining) deve ser entendida como um conjunto de esforços empregados para a descoberta de padrões de acordo com bases de dados. Dessa maneira, há condições de gerar conhecimento útil para a tomada de decisões, através de algoritmos computacionais que recebem fatos do mundo real (entrada) e devolvem um padrão de comportamento (saída), expresso como modelagem de um perfil. Sendo assim, o objetivo deste artigo é definir a Mineração de Dados e os conceitos inerentes a ela, bem como elencar algumas ferramentas utilizadas para extração de conhecimento a partir dos dados. A metodologia do trabalho consiste em levantamento bibliográfico. Espera-se como resultado demonstrar a imprescindibilidade da Mineração de Dados no apoio à decisão nas organizações e contribuir para a produção científica e acadêmica.

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Nazem, Sufi M., and Bongsik Shin. "Data Mining." Journal of Database Management 10, no. 1 (January 1999): 39–42. http://dx.doi.org/10.4018/jdm.1999010104.

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Journal articles on the topic 'Mining'

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