This model provides an algorithm standard as the foundation of dynamic data mining modeling. This selection study of data mining mainly has two parts: the commercial problems analysis and the data mining algorithms analysis. Commercial problems analysis contains a general set of 22 problems. These problems relate to the banking, finance ...
From the results, a paper was selected based on how close the title was to the research topic. Additional terms were identified such as "information model", "data business model", "data commercialization", etc. The paper in question was: Advancing data monetization and the creation of data-based business models (Parvinen, et al ...
impacts such as mining, developing a sustainable model for miners and local communities without losing economic profitability has been a critical challenge for operators (e.g., Hilson and Murck ...
The purpose of the paper is to analyze the standard business model that still dominates the mining industry, followed by a comparison of recent scientific findings on …
6 Conclusion and Outlook. In this paper, we introduced basic ideas of the use of Image Mining for Business Process Management. According to the business process lifecycle and the fundamentals of Image Mining, we define core potentials to combine both concepts. Furthermore, we test image recognition from process models.
The Economic Dimension of Sustainable Mining. The current business model is designed to maximise profits for the company and its shareholders. There is little incentive for the company to invest in sustainable performance beyond the minimum that is required. ... (Kesselring et al., 2020), autonomous mining (Roberts and Duff., 2002; Gao et al ...
The paper aims to analyze the value flow sustainable business model from a study case of mining company. The company wants to shift their business model in …
Leaders of mining corporations deem these emerging technologies as pivotal to the business model since optimization and improvement of traditional engineering processes have reached their pinnacle [3, 6]. Blockchain is among these incipient digital technologies with the potential to disrupt the mining business model.
Therefore, based on the status quo of the mining industry, existing pain points, and development trends, combined with the development of IT technologies and the development of business models, we propose a new mining production and operation model. We hope to guide the further development of related industries, management …
Keywords: lithium, mineral exploration, business models, mining, innovation, content analysis Degree Project E1 in Earth Science, IGV193, 30 credits ... (Azevedo et al., 2022a). According to a 2021 study by Material Economics, the …
The bitcoin mining business model is a strong one, allowing for bitcoin mining companies to create bitcoin at structurally lower prices than the market and achieve high-profit margins when the price of bitcoin is high. Indeed, given economies of scale in procurement and operations, many top public miners have a marginal cost of production well ...
A company that is committed to the future and to sustainability is one that has a business model that assesses the consequences and impacts of their actions and includes social and environmental aspects in its financial outlook (Aligleri et al., 2009). Business management committed to sustainability is an important matter in all economic …
Purpose 2: To implement complex, specifically designed systems and integrated business applications with data mining model/solution as component or tool. Typically, this adaptation is also oriented towards Big Data specifics, and is complemented by proposed artifacts such as Big Data architectures, system models, workflows, and …
The software technology is developing very fast which naturally impacts the business culture, business modeling, platform scaling, selling and buying behavior, pattern, and even the communication trend for business (Dimitras, Zanakis, & Zopounidis, 1996, Huang & Hu, 2003, Xu et al., 2018).With the swift enlargement of a new age …
Dycle, a Blue Economy Business Model Blue Economy (and think tank ZERI ) is a road to sustainability that works only with regenerative business models. One of their examples is Dycle from founder ...
Dunbar et al. (2019) look beyond governance and explore the need for new business models for mining that incorporate both financial gains and social gains. …
The purpose of the paper is to analyze the standard business model that still dominates the mining industry, followed by a comparison of recent scientific findings on …
Brindha et al. compared the performance of various text classification techniques, namely NB, k-nearest neighbour (KNN), SVM, decision tree, and regression, and found that based on the precision, recall, and F1 measures, SVM provided better results than the others.Deep learning. Deep learning is a part of machine learning, which trains …
Crypto Mining Business Model #2: Subsidized Electricity Mining. In Washington State, hydroelectric power generates far more juice than locals can consume, thus attracting a booming business in crypto mining. "The region's five huge hydroelectric dams, all owned by public utility districts, generate nearly six times as much power as the ...
Based on a better understanding of process mining use in an enterprise setting, prescriptive knowledge can be gained to support interventions in practice (vom Brocke et al. 2020a, b), e.g., by models and methods for value identification and value realization through process mining. We hope that this special issue will trigger a range of ...
6 CHANGING DRIVERS AND NEW BUSINESS MODELS 39 6.1 Characterising new business model concepts 39 6.2 innovation in business models 43 6.3 Imagining circular business models for metals 48 7 PLANNING THE SHIFT TOWARDS A CIRCUALR ECONOMY 52 7.1 Opportunities for Australian businesses 52 7.2 Future research 53 8 …
adoption case of a Machine Learning (ML) platform through a new business model Osterwalder et al. (2005) in a copper mine to add value in a critical processes and evolve towards a smart ...
Abstract. CRISP-DM is the de-facto standard and an industry-independent process model for applying data mining projects. Twenty years after its release in 2000, we would like to provide a systematic literature review of recent studies published in IEEE, ScienceDirect and ACM about data mining use cases applying CRISP-DM.
business models that also embraces digitalization. The purpose of the paper is to analyze the standard business model that still dominates the mining industry, followed by a …
Therefore, this paper will do the identification those values of sustainable business model in mining company which in order to examine whether the company ready to shift the business model recently. 4144 Puti Sinansari et al. / Procedia Computer Science 207 (2022) 4142â€"4150 Author name / Procedia Computer Science 00 (2019) …
The ISA is in the process of negotiating benefit sharing, with some suggestions that initial royalties to be shared among nations will total 2%, rising to 6% at a future date (Levin et al., 2020a). This model would mean that mining companies would benefit from around 70% of the total project profits, the ISA around 6%, including the amounts to ...
Process mining aims at extracting information from event logs to capture the business process as it is being executed. Process mining is particularly useful in situations where events are recorded but there is no …
Financial analysis of the mining business case—the development of an economic model. Valuation of mining projects—to enable negotiation on terms and …
Business applications, such as "cross-selling", will be turn into one or more of business problem and the goal of modeling is to formulate these business problems as data mining tasks. Fayyad et al., 1996, Fayyad et al., 1996 state that data mining algorithms consists largely of some specific mix of three components:
Process mining methods: Until recently (Evermann et al., Citation 2017), process mining has largely relied on statistical methods from the realm of data mining. The applications of common machine learning algorithms for different purposes, such as image or text analysis to event logs and process models in a non-trivial fashion to enable trace ...