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133 articles for “utility mining”
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Web Mining Competitors Analyses for Frequent Unstructured Dataset Using Pattern Mining Utility Incremental Ranking Results Based on Query Process
Abstract: Abstract Nowadays, the mining competition in the market requires best approach fir every company to distinguish not only which companies are its primary competitors but also in whichdomains the company’s rivals compete with itself and what its competitors’ strength is in a specific competitive domain. The task ofcompetitor mining that we address in the paper includes mining all the information such as competitors, competing domains, andcompetitors’ strengthproblems which potential privacy …
Published in Journal of Web Engineering & Technology · Vol. 5, Issue 3, 2018 · pp. 38–46 Read article
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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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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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Web Data Mining in Cloud Computing: A Review
Abstract: In this paper I’m going to explain the web-data-mining utilizing Cloud Computing Technologies. Web-data-mining remembers how we can coerce the needful info for requests through the web then grow information utilizing information mining procedure. For example: Web utilization mining, web content mining, option to get from the website server. Cloud computing uses the technologies with data mining in web. Web mining strategies (explicitly web use mining procedure) and applications are …
Published in Journal of Web Engineering & Technology · Vol. 8, Issue 3, 2021 · pp. 6–10 Read article
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The Silent Mineral: Structural Complexity and Industrial Utility of Natural Kaolin
Abstract: Kaolin, a naturally occurring aluminosilicate clay predominantly comprising the mineral kaolinite (Al₂Si₂O₅(OH)₄), exhibits a 1:1 layered silicate structure that imparts distinctive physicochemical properties suitable for extensive industrial utilization. Deposits of kaolin are broadly classified into primary (residual) and secondary (sedimentary) categories, each defined by their geological origin and mineralogical features. The industrial processing of kaolin encompasses stages such as raw material extraction, beneficiation, and purification, aiming to optimize parameters including …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 1, 2025 · pp. 52–61 Read article
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Role of Genetics in Improving Fitness and Sports Performance
Abstract: Research indicates that variations in specific genes affects sports performance, comparing athletes with nonathletes. The genes that have been examined the most in relation to athletic performance are ACE and ACTN3. Strength and endurance have been associated with these genes, which also affect the type of fiber that makes up muscles. Sports performance factors primarily affected by genes are intrinsic motivation to exercise, power and endurance potential, training response to …
Published in Recent Trends in Sports · Vol. 1, Issue 2, 2024 · pp. 28–34 Read article
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Unleashing the Power of Mathematics in Natural Language Processing: Sentiment Analysis Perspectives
Abstract: Sentiment analysis (SA), which utilizes natural language processing (NLP), computational linguistics, text analysis, image processing, and video processing to extract and analyze subjective information from the internet, social media, and other sources, is becoming increasingly popular in both the business world and the scientific community. It is even possible to model it so that it focuses on polarity, sentiments and emotions, urgency, and even goals. It is able to distinguish …
Published in Recent Trends in Programming languages · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article
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Mining WebLog Data Using Enhanced Map-Reduce Based SOM Algorithm
Abstract: Web utilization mining is a procedure for finding client route designs in web server to get web log data. These route designs are additionally scrutinized by different information mining strategies. The found route instances can be further used to recognize the successive transactions of the client, foreseeing the future demand of client, and so on which very much essential due to enormous developments in electronic trade sites.Through a colossal measure …
Published in Journal of Advanced Database Management & Systems · Vol. 5, Issue 2, 2018 · pp. 10–17 Read article
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Carbon Sequestration in Mineralogy: Potential of Ultramafic Rocks for CO₂ Storage
Abstract: The increasing concentration of atmospheric carbon dioxide (CO₂) due to anthropogenic activities has necessitated the development of effective carbon sequestration strategies. Mineral carbonation, particularly utilizing ultramafic rocks, has emerged as a promising approach for long-term CO₂ storage. This review explores the potential of ultramafic rocks in sequestering CO₂, discussing their mineral composition, reaction mechanisms, advantages, and challenges associated with their utilization in carbon capture and storage (CCS). Additionally, advancements in …
Published in International Journal of Minerals · Vol. 2, Issue 1, 2025 · pp. 30–35 Read article
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DURABILITY ASSESSMENT OF SELF COMPACTING, SELF CURING CONCRETE INCORPORATING CRUSHED ROCK POWDER AND MINERAL ADMIXTURES
Abstract: Curing plays a crucial role in achieving the desired strength, characteristics, and durability of concrete. Negligent curing practices can lead to adverse effects on hydration and mechanical properties of concrete. In recent times, self-curing concrete has gained significant attention due to its potential in reducing water loss through the use of self-curing agents. The Present Research study focus on investigation on durability characteristics of self-curing self-compacting concrete using crushed rock …
Published in Journal of Polymer & Composites · Vol. 11, Issue 10, 2023 · pp. 25–35 Read article
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Utilization of Clay as Source Material in Geopolymer and Alkali Activated Concretes: A State of Art Review
Abstract: This innovative research looks at the use of clay as source material for geopolymer and alkali- activated concrete, with a focus on how they could promote green construction practices and perhaps replace Portland cement. Alkali-activated concretes and geopolymers offer low-carbon, eco-friendly alternatives by utilizing natural minerals and industrial wastes. Particularly clay is a plentiful and adaptable option for these cutting-edge products. This review looks at different kinds of clay, like …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 635–654 Read article
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Experimental Analysis of Filler Slab Using Self-Compacting Concrete
Abstract: Present-day self-compacting concrete is classified as an advanced construction material. Self-compacting concrete (SCC) is an innovative concrete that does not require vibration for placing and compaction. It can flow under its weight, completely filling formwork and achieving full compaction, even in the presence of congested reinforcement. The hardened concrete is dense, homogeneous and has the same engineering properties and durability as traditional vibrated concrete. An important improvement of health and …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 3, 2016 · pp. 15–24 Read article
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Geological Nutrient Sourcing of Potassium and Phosphorus in Agricultural Crops
Abstract: Potassium and phosphorus can be considered as important nutrients and are being supplied as ingredients in the fertilizers. In presence of potassium, the crop yields, shelf life, disease resistance and plant growth are improved. The mineral fertilizers have enhanced the crop yields and they are expected to segregate spatially. Due to the utilization of the mineral fertilizers, there was intensification of crops and they have helped humans to consume healthy …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 9, Issue 2, 2020 · pp. 24–28 Read article
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Finding Risk Factors in Thyroid and Cardiovascular System Using Naive Bayesian (NB) Machine Learning Technique
Abstract: Thyroid malady could be a common condition. A TSH test is carried out to check for the capacities of your thyroid organ. Illnesses of thyroid can be caused by conditions which cause thyroid organ over or under function. The test can moreover assist you recognize thyroid conditions some time recently indications happen. It is either as well (hyperthyroidism) or under-active (hypothyroidism), you might know. In case untreated, thyroid clutter may …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 8, Issue 1, 2020 · pp. 1–5 Read article
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Predicting Employees Performance using Data Mining Techniques
Abstract: Human resources management (HRM) has become one of the essential interests of managers and 4decision-makers in almost all types of businesses to adopt plans for correctly discovering highly qualified employees. In this research, data mining techniques were utilized to build a classification model for predicting the performance of employees using a real dataset. For this, we are using different methods such as support vector machine, Logistic Regression and Neural Network. …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 1, 2021 · pp. 4–13 Read article
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Self-Learning SIEM System Using Association Rule Mining
Abstract: The rise of new security threats similar to polymorphic multi-step attacks, have made security something just more than perimeter defence, IDS/IPS, Firewalls, Anti-virus etc. Although, security techniques have evolved a lot, so have the attacks. Hence, a comprehensive solution is required wherein all the sensory controls can work in coherence. In this paper, we intend to propose a SIEM system with the self-learning capability which can produce optimized and efficient …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 2, 2015 · pp. 10–23 Read article
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Mining Educational Data to Analyze Students‟ Performance
Abstract: Data Mining Strategy can be utilized in various fields to extricate the necessary information from the huge dataset. One of the useful fields of data mining is education. It is useful in educational field so that a pattern can be generated from the data. Placement of a student in graduation plays a very important role in the life of a student. Prediction whether the student will be able to get …
Published in Journal of Instrumentation Technology & Innovations · Vol. 11, Issue 3, 2021 · pp. 11–16 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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Polymeric Emulsion Composite System Enriched with Eggshell-Derived Biominerals for Dermal Delivery
Abstract: This study describes the development and characterization of a sustainable polymeric water-in-oil (W/O) emulsion composite designed for dermal delivery and skin repair applications. The formulation was prepared using a lipid-rich biopolymeric matrix containing glyceryl stearate, beeswax, and plant-derived ingredients, which acted as the continuous phase for stabilizing and dispersing inorganic mineral fillers. Eggshell waste was utilized as a natural calcium source and combined with magnesium and zinc oxide to create …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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The Impact of Bacteria and Biostimulants on Crude Oil Breakdown in Loamy Soil
Abstract: This study investigates the influence of bacteria and biostimulants—specifically Bryophyllum pinnatum leaves soaked in both water and ethanol—on the degradation of crude oil in loamy soil. A laboratory-scale bioremediation setup was employed using a batch reactor model and first-order degradation kinetics to assess total petroleum hydrocarbon (TPH) breakdown under controlled conditions. Various analytical tools and procedures, including gas chromatography (Agilent 6890) and microbial media such as nutrient agar and mineral …
Published in International Journal of Pollution: Prevention & Control · Vol. 3, Issue 2, 2025 · pp. 15–22 Read article