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751 articles for “mines”
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Enhanced Association Rule Mining Algorithm (EARMA) for Reducing Computational Time on Large Data Set
Abstract: Association rule learning is a trendy process for discovering exciting relationships between variables in big database. It is frequently used in market basket analysis field e.g. if a buyer buys onions and potatoes then he also purchases beef. But, in fact, it can be implemented in different application area where we want to determine the association among variables. The APRIORI method is definitely the trendiest. But, even with its good …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 3, Issue 2, 2016 · pp. 20–25 Read article
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Advance Mineral Practices Techniques
Abstract: In recent years, the field of mineral processing has witnessed significant advancements aimed at improving the efficiency, sustainability, and economic viability of mineral extraction and processing techniques. These advancements encompass a broad spectrum of practices, from ore sorting and comminution to flotation and tailings management. This paper reviews the latest innovations in mineral processing, focusing on key areas such as: Ore Sorting and Pre-Concentration: Implementation of sensor-based sorting technologies that …
Published in International Journal of Minerals · Vol. 1, Issue 1, 2024 · pp. 16–22 Read article
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Beryllium Mineralogy and Its Strategic Applications in Modern Industries
Abstract: Beryllium, a rare lithophile element, exhibits unique physical and chemical properties that make it indispensable in various high-technology industries, including aerospace, nuclear energy, defense, and telecommunications. This review explores the mineralogy, extraction, applications, and resource distribution of beryllium, highlighting the metallurgical and industrial significance of its primary minerals, beryl and bertrandite. Despite being one of the lightest metals, beryllium boasts high strength, heat resistance, and conductivity, properties that support its …
Published in International Journal of Minerals · Vol. 1, Issue 2, 2024 · pp. 28–33 Read article
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Geographical Knowledge report on Agriculture by Spatial Data Mining
Abstract: Spatial Data Mining is nothing but the integration of Geographical Information System and Data Mining. The main objective of the present study i.e., Spatial Data Mining for Agriculture is to find or identify the potentially useful and ultimately understandable patterns in data which will be visualized on the map. Data Mining Algorithms such as clustering, classification, and association rules etc are applied for the Past and Future trends visualization for …
Published in Journal of Advanced Database Management & Systems · Vol. 5, Issue 1, 2018 · pp. 8–19 Read article
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Accumulator Plants for Phytoremediation: An Attempt from Mangampeta and Vemula Barite Mining Areas, Kadapa District, Andhra Pradesh, India
Abstract: Mining alters the natural landscape discharging large volumes of wastes which pose serious pollution hazards to the environment, to human health, and to agriculture. Abandoned mine wastes cause severe pollution impacting the local environment. The use of a vegetation cover ameliorates in reclaiming mine-spoils and tailings. A biogeochemical survey was carried out in Mangampeta and Vemula barite mining areas to identify native accumulator plants and to evaluate the extent of …
Published in Research & Reviews : Journal of Ecology · Vol. 10, Issue 1, 2021 · pp. 29–43 Read article
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A Review of Machine Learning Applications in Web Data Mining
Abstract: The rapid development of Internet technology has resulted in a rapidly changing and intricate digital environment that requires new methods for organizing and evaluating online data. This study examines the use of machine learning (ML) in web data mining, focusing on its ability to extract relevant insights from huge amounts of online data. Web data mining, which is divided into three categories: content mining, structure mining, and use mining, uses …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 1, 2025 · pp. 39–47 Read article
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Evaluating the Environmental Impact of Mining: Procedures, Outcomes, and Sustainable Remediation
Abstract: Mining is necessary for economic growth and getting resources, yet also has a big impact on the environment. This article looks at the different ways that mining affects the environment, such as land degradation, deforestation, water pollution, air pollution, and loss of biodiversity. Mining on the surface and underground can cause soil erosion, damage ecosystems, and pollute groundwater and surface water with heavy metals and harmful compounds. Furthermore, the emission …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 12–24 Read article
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Petroleum Geothermal energy and process of mines extract
Abstract: Mining consumes a lot of energy, and because so much money is spent on fuel and energy transportation, energy costs are particularly expensive for remote mines that are off the grid. The necessity to switch to greener power sources to lessen its environmental impact is becoming increasingly clear to the mining industry as well. Geothermal energy is a crucial, albeit frequently underutilized, energy source for the mining sector as it …
Published in Journal of Petroleum Engineering & Technology · Vol. 12, Issue 2, 2022 · pp. 35–40 Read article
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Text Mining An Introduction, Technology, Techniques and Applications
Abstract: AbstractThis work presents a review of text mining areas, as long as the most familiar techniques and technologies are used., Including the proposals depending on the applications. There exits the various methods and devices/technologies to mine the contents and frequent data for future enhancement and decision-making purposes. The correct usage of right techniques helps for the speed enhancement. It reduces the time and efforts to extract useful information. Some of …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 3, 2020 · pp. 30–37 Read article
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Information Privacy and Security in Data Mining
Abstract: AbstractThe improving popularity and growing of data mining technologies bring very serious effect to the security of individual's sensitive information. In the recent years, the privacy preserving data mining (PPDM), has been extensively studied and it is an emerging research subject in data mining. Without accommodating the security of sensitive information contained in the data, the basic idea of PPDM is to implement the data in such a manner so …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 3, 2016 · pp. 30–44 Read article
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Use of Area Specific Mineral Mixture to Ameliorate Region Specific Reproductive Problems in Ruminants
Abstract: Reproductive inefficiency in ruminant cows is one of the most important global problems affecting the profitability of the farm. Some trace minerals like Ca, P, Cu, Zn, Co and Mn have important roles to maximise reproductive performances. Even marginal deficiency of these minerals can impair reproduction showing clinical signs of deficiency. Effects of mineral deficiency and metabolic disorders in all categories of dairy animals have been observed due to lower …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 5, Issue 1, 2016 · pp. 1–4 Read article
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Metals and Minerals in Pharmacy: Current Trends, Biomedical Applications, and Future Innovations
Abstract: Metals and minerals have played important roles in medicine for centuries, ranging from the use of simple mineral powders in traditional therapies to the development of modern metal-based drugs and nanomaterials. In recent years, advancements in material science, nanotechnology and pharmaceutical engineering have expanded the biomedical relevance of inorganic materials far beyond their conventional use as excipients. This review highlights the growing integration of metallic and mineral systems into pharmaceutical …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 12–24 Read article
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Robotic Systems for Coal Mine Exploration and Associated Hazard Detection: A Review
Abstract: This review paper presents an overview of the technological work done in the field of robotic systems implementation in underground coal mine rescue activity. Coal mining professionals are exposed to numerous lethal hazards in a coal mine which primarily include roof collapse, gas explosion, CO and CO2 gas poisoning, low O2 content, high temperature, suffocation due to smoke and coal dust, inundation, subsidence etc. Robotic systems find imperative applications in …
Published in Journal of Mechatronics and Automation · Vol. 3, Issue 1, 2016 · pp. 25–48 Read article
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Comparative Analysis of Algorithms for Mining Frequent Patterns
Abstract: In the computerized world, everything is moving online, and data comes in different shapes and sizes and is collected in different ways. By using data mining, frequent patterns in the databases can be identified, and it can be used in numerous applications. Finding frequent patterns in huge databases is important because it reveals important information that cannot be found through simple data surfing. To find common patterns, a variety of …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 2, 2023 · pp. 1–7 Read article
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Investigating Internet user Behaviour on Proxy Server Log File Using Web Usage Mining
Abstract: Nowadays, each and all activities have been becoming unimaginable to do without internet. When a web user requests a specific page, an entry is made in a special file known as the server log file. Some organizations use a proxy server for caching services and administrative control. In order to provide the client computer with oblique network services, a proxy server sits in between the client internet and the client's …
Published in Journal of Web Engineering & Technology · Vol. 9, Issue 2, 2022 · pp. 32–45 Read article
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Unleashing the Power of Data Mining in Software Engineering: Applications and Case Studies
Abstract: Recent times have seen the nexus of data mining and software engineering evolve into a potent force, promising to redefine both fields. This paper highlights the critical role and varies uses of data mining within the software engineering domain, backed by the latest academic resources. The deep dive reveals critical data mining methodologies, their pertinent role across different sectors, and their unique implementations within software engineering. Various organizations, including well-known …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 3, 2023 · pp. 1–6 Read article
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Effect of Coal Mining Industry and Thermal Power Plant to the Neighbouring Environment: Evidences from Barapukuria, Dinajpur, Bangladesh
Abstract: Abstract The objective of the present study is to explore the people’s perception about the environmental and socioeconomic impacts of coal mining industry and coal fired thermal power plant to the physical and human environment of Barapukuria, Dinajpur, Bangladesh. The present study found that the Barapukuria coal mining industry and thermal power plant have brought some environmental and socioeconomic challenges to the adjacent areas. The inhabitants of adjacent area of …
Published in Journal of Water Pollution & Purification Research · Vol. 3, Issue 1, 2016 · pp. 31–41 Read article
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Revolutionizing Petrology and Mineralogy: The Study of AI and Advanced Sensor Technologies
Abstract: Petrology and mineralogy are fundamental to understanding Earth's intricate processes, from crustal evolution to economic resource formation. However, traditional methods, while precise, are often laborious, time-consuming, and occasionally subject to interpretive bias. This abstract explores the transformative potential of integrating cutting-edge Artificial Intelligence (AI) and advanced sensor technologies to revolutionize data acquisition, analysis, and interpretation in these critical geosciences. Advanced sensor technologies, including high-resolution spectral imaging (hyperspectral, Raman), automated X-ray …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 1–11 Read article
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Integrating Sensor Technologies and Machine Learning for Detection and Mitigation of Structural Deformity and Slope Failure in Opencast Mines
Abstract: With furtherance in the mining industry, accidents due to slope failure are frequent in mining sites. Slope instability, a complex process, seriously threatens the miner’s life and properties. The damage inflicted by slope failures in the recent past has pulled the attention of authorities toward implementing disaster risk reduction measures. This research aims to develop an innovative approach that combines sensor technologies and machine learning techniques to detect and mitigate …
Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 3, 2023 · pp. 38–45 Read article
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Emotion mining using Unsupervised Learning
Abstract: Social networks are considered as the most abundant sources of affective information for Sentiment and Emotion Classification. Emotion Classification is the challenging task of classifying emotions into different types. Emotion is a mental state observed by behavioral or developmental changes. Emotions being universal, the automatic exploration of emotion is considered as the difficult task to be performed. A lot of the research is being conducted in the field of automatic …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 3, 2018 · pp. 24–34 Read article