The machine learning experiment aimed to explore and understand the thematic organisation of a collection of automation mining-related publications to determine what further insights might be revealed from the …
Current advances and trends in the fields of mechanical, material, and software engineering have allowed mining technology to undergo a significant transformation. Aiming to maximize the efficiency and safety of the mining process, several enabling technologies, such as the recent advances in artificial intelligence, IoT, sensor fusion, computational modeling, and …
designed to generate ideas through a literature review. Thus, this article focuses on ideas generated through machine-driven analytics to improve products, services, or re-search-related activities. 3 Methodology To review state of the art and answer the research question, a systematic literature re-view (SLR) proposed by [44] and [45] is followed.
Ashtiani, M.N.; Raahemi, B. Intelligent Fraud Detection in Financial Statements Using Machine Learning and Data Mining: A Systematic Literature Review. IEEE Access 2021, 10, 72504–72525. [Google Scholar] Albashrawi, M. Detecting Financial Fraud Using Data Mining Techniques: A Decade Review from 2004 to 2015. J. Data Sci. 2016, 14, 553–570.
This systematic literature review aims to identify the recent research trend, most studied factors, and methods used to predict student academic performance from 2015 to 2021.
mining and machine learning methods" etc in the following digital databases: IEEE Explorer, Google Scholar, Springer A Systematic Literature Review on Cardiovascular Disorder Identification using Knowledge Mining and Machine Learning Methods Syed Immamul Ansarullah, Pradeep Kumar
We find two algorithms dominate the literature: (1) Support Vector Machines for classification problems and (2) k-nearest neighbors for both classification and Regression problems. We postulate that recent proliferation of neural networks in general machine learning research will soon carry over into baseball analytics.
Table 1 Summary of the literature review Year Author Title Investigation 1984 Ascher H et al. Repairable systems reliability modeling inference misconceptions and
A Review of Data Mining Literature. ... The principal advantage of using this machine learning methodology is that it acts as a white box learning model where each and every step is defined by the ...
In this study, the performance of the underground mining machinery known as load haul dumper (LHD) has been estimated with reliability analysis. The best-fit distribution of the data sets...
This article aims to provide an overview of research trends and state-of-the-art technologies in face exploration and drilling operations in order to define the vision toward the …
Text Mining-Based Author Profiling: Literature Review, Trends and Challenges Fethi Fkih1,2(B) and Delel Rhouma1,2 1 Department of Computer Science, College of Computer, Qassim University, Buraydah, Saudi Arabia fethi.fkih@gmail,[email protected] 2 MARS Research Lab LR 17ES05, University of Sousse, Sousse, Tunisia Abstract. Author profiling (AP) is a very …
The review discusses thoroughly mining industry from different viewpoints that includes general introduction, historical background of mining industry, mines development and life cycle,...
This study uses an experimental approach to explore using machine learning (ML) techniques in the SLR process. ... analyze and synthesize the data. The reporting stage involves (h) writing a report to disseminate the literature review findings. With ... The researchers concluded that despite extensive text mining and active literature ...
This article presents a comprehensive review of the literature on the benefits, challenges, and limitations of using machine learning (ML) algorithms in inventory control, focusing on how these algorithms can transform inventory management and improve operational efficiency in supply chains. The originality of the study lies in its integrative approach, …
Abstract—This paper presents a comprehensive literature review for mine hoist drives. Both DC and AC drives with their control techniques are discussed with a comparative study on their …
From Table 1, it can be observed that most of the referenced literature emphasizes machine learning approaches while the systematic literature review (SLR) is mostly ignored. For instance, Benhar et al. published an SLR whose primary concern was different ML algorithms and data preprocessing techniques used in heart disease diagnosis [17] .
DOI: 10.1108/BPMJ-02-2015-0017 Corpus ID: 35957353; Process mining through artificial neural networks and support vector machines: A systematic literature review @article{Maita2015ProcessMT, title={Process mining through artificial neural networks and support vector machines: A systematic literature review}, author={Ana Roc{'i}o C{'a}rdenas …
Machine learning and AI will play an increasingly critical role in intelligent automation, enabling autonomous systems to adapt to dynamic environments, optimize …
The review results indicated that various Machine Learning (ML) techniques are used to understand and overcome the underlying challenges; predicting students at risk and students drop out prediction.
This systematic literature review (SLR) aims to investigate, summarize, and synthesize the emerging text mining techniques used to forecast the stock market, the source and type of data used for prediction, and the applied machine learning models.
In this literature review, we investigate machine learning techniques that are applied for stock market prediction. A focus area in this literature review is the stock markets investigated in the literature as well as the types of variables used as input in the machine learning techniques used for predicting these markets.
The systematic framework presented in this study includes the following steps: 1—Examining the position of regression in research conducted in data mining and determining the trend of different ...
A bibliometric review of the most cited literature related to mining injuries. Int. J. Min. Reclam. Environ. 2017, 31, 276–285. [Google Scholar] Verma, S.; Chaudhari, S. Highlights from the literature on risk assessment …
This paper investigates the state of the art of various clinical decision support systems for heart disease prediction, proposed by various researchers using data mining and machine learning ...
MLR approach mainly applies text mining and machine learning for the conducting phase, which includes literature selection and assessment as well as data extraction. Due to the combination of machine learning and text mining tools with traditional review approaches, the MLR incorporates
Then, inspired by other literature review studies in the process mining field [55, 65], we defined the following set of search engines to apply our search string on: ACM Digital Libray, IEEE ...
• A literature review was conducted to identify classical references for mining method selection in response to action item #GS-3 (Resolution Geology/Subsidence Working Group Meeting 2/11/2020). • Selection of a feasible mining method requires the comparison of the characteristics of the deposit with those essential for different mining methods
The high level of energy consumption of buildings is significantly influencing occupant behavior changes towards improved energy efficiency. This paper introduces a systematic literature review with two objectives: to understand the more relevant factors affecting energy consumption of buildings and to find the best intelligent computing (IC) methods …
systematic literature review (i.e., SLR), a step-by-step protocol is executed to identify, select, and appraise the synthesized studies to answer specific research questions [ 10