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751 articles for “mines”
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Data Stream Mining
Abstract: A data stream can be considered as an ordered sequence of data items, where the elements of the series continuously arrive as time progresses. Data stream mining is the procedure of extracting knowledge structures from such continuous, rapid data records. Mining data streams nurtures new problems for the data mining community regarding how to mine continuous high-speed data items that you can only have one look at. Due to this …
Published in Recent Trends in Programming languages · Vol. 5, Issue 1, 2018 · pp. 1–5 Read article
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Secure Multiparty Computation for Privacy-Preserving Data Mining
Abstract: In this paper, we survey about secure multiparty computation and their importance in the field of privacy-preserving data mining. We present detailed information about defining and developing the smc protocol for privacy preserving data mining. The method of implementation of smc protocol and difficulties while demonstrating the protocol of high efficiency are reviewed. When smc protocol is applied to privacy preserving data mining, some common errors are detected. We also …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 8, Issue 3, 2021 · pp. 1–5 Read article
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A Review Paper Based on Methodologies and Applications of Data Mining
Abstract: Data mining is like extracting record from a heap of data. Understanding database concepts is vital for data mining. Knowledge Discovery in Databases (KDD) is used to discover crucial data-related information. Our motive is being inundated with exceptional types of information science statistics, environmental records, financial records, and mathematical records. Summarizing the information manually is not possible because of the notable data boom inside the age of community and records …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 3, 2022 · pp. 8–15 Read article
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Mining of the River Bed and Environmental Consequences
Abstract: Due to tremendous rate of demand, by the year 2050, the world is expected to run out of construction grade sand. Construction-grade sand is found in aquatic environments, such as rivers and is a provisioning ecosystem service. Even under controlled circumstances, the practice of extracting the sand from the riverbed and river-banks impacts the environment. Unfortunately, many countries lack sand mining regulation policies and in combination with a high demand, …
Published in Journal of Water Pollution & Purification Research · Vol. 10, Issue 3, 2023 · pp. 24–33 Read article
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Oxalate and Mineral Composition of Amoche [Arisaema Schimperianum Schott.] Influenced as Different Processing
Abstract: Oxalate content of amoche [Arisaema Shcimperianum S.] as influenced by different processing were determined by High Performance Liquid Chromatography. The mineral contents were also determined by Spectrophotometre. The different processing treatments were combinations of three levels of fresh, boiliing, drying and three levels of soaking in ginger, lemon and ethanol and neither heating nor boiling [control]. Different processing significantly [p<0.05] influenced the oxalate and mineral contents. The oxalate contents observed …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 9, Issue 1, 2020 · pp. 1–6 Read article
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Design of Coal Mine Safety and Monitoring System Using Sensors and IOT
Abstract: The paper proposes the application of a network of wireless sensors deployed within coal mining safety systems to oversee the operational environment and bolster safety protocols within coal mines. The system consists of master controllers and slave controllers, where the slave controllers detect dangers and send alerts to the master controller through Wi-Fi, enabling quick action to be taken. The system is powered by the NodeMCU microcontroller and includes various …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 1, 2024 · pp. 1–7 Read article
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Data Mining for E-Commerce and Social Media: Insights and Future Research Directions
Abstract: The fast expansion of e-commerce and social media has heralded a new era of data-rich settings, with enormous quantities of user interactions, preferences, and transactions generated on a daily basis. Data mining has developed as a critical strategy for leveraging big datasets, allowing businesses to gain concrete knowledge and drive decision-making. Data mining in e-commerce improves operational efficiency and user pleasure by allowing for personalized recommendations, consumer segmentation, fraud detection, …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 1, 2025 · pp. 14–23 Read article
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IOT Based Worker Safety Monitoring and Alerting System in Coal Mines
Abstract: Protection is the most dynamic fragment of any kind of industry. In the mining industry, protection and security are essential. To evade any kind of fortunes, the mining industry tracks some elementary safety measures. Still, fate plays out in deep mines as temperatures rise, water levels rise, and methane gas leaks. Currently, we offer protection to employees. When an employee is at risk, he can press the panic switch to …
Published in Journal of Microelectronics and Solid State Devices · Vol. 10, Issue 2, 2023 · pp. 28–36 Read article
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Optimization of Maximum Charge Per Delay Using Site-Specific Ground Vibration Prediction Models for Safe Blasting in an Opencast Coal Mine
Abstract: Drilling and blasting are critical operations in opencast coal mining that directly influence rock fragmentation, excavation efficiency, and production performance. However, excessive blast-induced ground vibration and air overpressure can create safety and environmental concerns, particularly in mines located near villages and sensitive structures. The present study was conducted at Chapapur-II Colliery, Mugma Area, Eastern Coalfields Limited (ECL), with the objective of optimizing blast design through the determination of safe maximum …
Published in Journal of Geotechnical Engineering · Vol. 13, Issue 2, 2026 · pp. 1–13 Read article
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An Improved SentiWordNet for Opinion Mining and Sentiment Analysis
Abstract: Opinion Mining and Sentiment Analysis is an emergent research area, spanning over multiple disciplines such as data mining, text mining, etc. Opinion mining is an art of extracting the opinions from the huge set of opinion set or reviews. Sentiment analysis is a type of natural language processing for tracking the mood of the public about a particular product or topic. The existing works of opinion mining used Sentiwordnet as …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 2, 2014 · pp. 1–7 Read article
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Survey on Intrusion Detection Using Data Mining Methods
Abstract: The present emerging information growth has made numerous challenges in the data mining. Data mining is the procedure of removing valid, before known, and comprehensive data sets for the future decision making. With the better technology through WWW, the streaming information comes into the picture with its challenges. The data, which alters with time and updates its value, is known as streaming information. As most of the data is streaming …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 2, 2016 · pp. 33–43 Read article
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Various Approaches of Privacy Preserving in Data Mining: A Review
Abstract: AbstractData mining devices aspire to find valuable examples from vast measure of data. These patterns constitute information and are conveyed in selection trees, clusters or association rules. The information determined by the means of numerous data mining strategies can also comprise of private records approximately human beings or business. Preservation of privacy is a big thing of data mining and as a consequence has a look of attaining a few …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 2, 2017 · pp. 1–8 Read article
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A Study of Mining High Utility Itemset
Abstract: Cost effective exploitation of a transactional database refers to the procedure of choosing the transaction sets with most cost effective features that will improve overall incomes of a company. A plethora of data mining algorithms have been recommended in the past few years to focus on mining item sets with high utility value. The word utility is about that feature of item-sets. Thus, mining algorithms tries to find out all …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 2, Issue 3, 2015 · pp. 21–25 Read article
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Scientific Paper Reviews Identification by Sentiment Analysis in Data Mining
Abstract: AbstractSentiment analysis (SA) is one of the rapidly growing fields of research in computer science and makes it difficult to track all activities in the area. Analyzes of thoughts and/or perceptions are used for automating subjective information identification such as opinions, attitudes, emotions, and feelings. Hundreds of thousands are concerned about science and take a long time to select appropriate papers for their research. These opinions are numerous and SA …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 7, Issue 3, 2020 · pp. 1–9 Read article
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A Comparison Between Two Association Rule Mining Techniques
Abstract: Normal 0 false false false EN-US X-NONE X-NONE Data mining requires associated items to be mined from given transactions. Association rule mining (ARM) has gained importance in view of trend-prediction and decision-making process. Mostly ARM is implemented using variants of FP tree growth techniques. This paper introduces an improved technique for ARM – Improved Relative Dotted Sequence Path (IRDSP)-based ARM. The logic justifying why this technique saves time in comparison …
Published in Current Trends in Information Technology · Vol. 1, Issue 2-3, 2011 · pp. 1–7 Read article
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California Bearing Ratio and Young’s Modulus Behavior of Clinker Stabilized Fly Ash-Mine Overburden Mixes
Abstract: Fly ash is a major byproduct of coal combustion. Fly ash often causes disposal problems and environmental pollution. This paper presents detailed laboratory investigation carried out on clinker stabilized fly ash-mine overburden mixes to find out its suitability for sub-base of mine haul road pavements. Proctor compaction test, Unconfined Compressive Strength (UCS) test, California Bearing Ratio (CBR) Test, Scanning Electron Microscopy (SEM) and Energy Dispersive X-ray Spectroscopy (EDX) were conducted …
Published in Recent Trends in Civil Engineering & Technology · Vol. 3, Issue 3, 2013 · pp. 1–10 Read article
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GSM Based Coal Miners Safety Monitoring Helmet
Abstract: A Coal Miners sensible Helmet is a wearable device that will facilitate coal miners keep safe. Observance the protection of coal miners' operating conditions are often finished in this device. It monitors the temperature, humidity, harmful gas concentration, and vibration. The information is analyzed and sent to the room and therefore the room decides that action must be taken supported the parameters sent. This paper uses LoRa communication technology alongside …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 2, 2022 · pp. 13–18 Read article
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Semantic Web Mining: Survey and Analysis
Abstract: Data on World Wide Web is growing at a tremendous rate and information overload becoming a major problem. Due to this, finding the relevant documents and extracting useful information has become a challenging task. Semantic web mining deals with these challenges. A review of the existing semantic web mining approaches is presented in this paper. The paper explores different semantic web mining approaches and compares them that are based on …
Published in Journal of Web Engineering & Technology · Vol. 5, Issue 3, 2018 · pp. 20–31 Read article
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Big Data to Big Data Mining: Issues, Challenges and Data Analytics Solutions
Abstract: Data has evolved at a great pace due to increasing interest of people and valuable contribution towards the emerging technologies. Emerging technologies are successful in generating huge quantity of data from various sources which in return provides Big Data. Big Data constitutes large amount of data in terms of texts, statistics, facts, figures, and records, etc., generated from heterogeneous environment. Big Data needs special attention for storage, managing, transportation and …
Published in Current Trends in Information Technology · Vol. 6, Issue 3, 2016 · pp. 7–15 Read article
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Evaluation of Proximate Composition , Vitamin and Mineral Contents of Aqueous Extract of Betel Leaf (Piper betel)
Abstract: Betel leaf is a medicinal herb distributed all around Bangladesh and many other countries throughout the world. In this study, three local varieties of betel leaves were investigated for their proximate compositions and nutritional evaluation of vitamins and minerals. At the mature stage, Kal Bangla variety contained the maximum amount of moisture (85.44%) while Doga variety contained the maximum amount of ash (3.26%) and fiber (2.29%). Moisture content decreased gradually …
Published in Research & Reviews : Journal of Botany · Vol. 9, Issue 2, 2020 · pp. 24–32 Read article