Underground mining methods are applied under different mining technical conditions, coordinating and integrating different mining and excavation equipment, shaft and …
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The purpose of this chapter is to gain a better understanding of the different underground scenarios in terms of mining methods, layouts and associated excavation geometries.
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Mining methods can be classified in various ways, but the most common classification is based on how ground pressure is managed. According to this classification, …
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Srikanth (2016) [8] proposed a novel approach to predict Diabetes Disease using Data Mining Techniques of Classification Algorithms namely the Decision Tree Algorithm, Bayes Algorithm, and Rule-based Algorithm. The Classification Algorithm with the applied classification methods results in high accuracy. Archanaa R (2017) [9] Presented a ...
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• Selection of a feasible mining method requires the comparison of the characteristics of the deposit with those essential for different mining methods • In general, most selection …
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Here are some classification techniques in Data Mining: Classification Techniques in Data Mining: Decision Trees; Classification Techniques in Data Mining: Logistic Regression; Classification Techniques in …
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A comparative review of the imputation method basically which are used for imputing missing values in the dataset is presented and the parametric, non-parametric and semi-parametric imputation methods are discussed. — In data mining one important stage is pre-processing. In which there are different mining tasks for it. In real world most of the data are noisy, …
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The results of the present work demonstrate the feasibility of an objective classification of different structures in steel on the basis of morphological parameters by data mining methods. The process in Rapid Miner with the SVM as classifier showed good classification results for the three classes martensite, pearlite and bainite.
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Descriptive methods include clustering and Association rules, and predictive methods include classification and forecasting [3, 4]. Our goal in this study is to use data mining methods to find knowledge in a dataset of medical prescriptions provided by the site. By analyzing the prescription drugs for each disease, our proposed ...
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The retrieved literature that has used data mining classification techniques can be broadly categorized on the basis of the type of technique applied, as statistical techniques and machine ...
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Here are some classification techniques in Data Mining: Classification Techniques in Data Mining: Decision Trees; Classification Techniques in Data Mining: Logistic Regression; Classification Techniques in Data Mining: Naive Bayes Classification; Classification Techniques in Data Mining: K-Nearest Neighbor
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Master classification in data mining: explore types and learn how to build a classification model for data-driven decisions across industries. ... Data mining helps you sift through massive collections of raw information to extract patterns you can act on, and classification is a key method within that process. Simply put, classification in ...
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Stoping Methods. A classification of stoping methods based upon method of support was adopted by the Mining Division of the Bureau of Mines in 1928. This classification has been used ever since as a basis for describing methods in its publications dealing with mining methods and costs and is as follows: Classification of stoping methods
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Text mining is a process to extract interesting and significant patterns to explore knowledge from textual data sources. Approximately, 90% of world's data is held in unstructured format.
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Classification methods allow easier and more accurate extraction of scientific knowledge to be used as a basis for scientific research in each subject area. ... Wisomka W, Homjun K (2019) Using classification data mining techniques for students performance prediction. In: 2019 joint international conference on digital arts, media and technology ...
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Design of efficient extraction methodologies for non-coal mining / various stoping methods and different structures for non-coal mines. Design of pillars and arrays of pillars for different mining methods including chain-pillars/barrier pillars ; Method of mining for the deployment of Continuous Miner (CM), Shearer, etc. for mechanised extraction.
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Four mining methods were compared on the basis of 49 attributes clustered into five decision criteria. De Almeida, Alencar and PROMETHEE II used to select the mining method for ornamental rocks that best satisfies a set of evaluation criteria. de Miranda (2005) Six mining methods were compared on the basis of five criteria. Liquin, et al. (1995 ...
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The most common classification techniques are based on search neighbourhoods (50% of recent reports), drill-hole spacing (30% of recent reports), and/or kriging variance (6% of recent …
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Permanent access and service openings represent the third class of mining exca-vations illustrated in Figure 12.1. This class consists of openings which must meet rigorous …
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This article by Scaler Topics explains classification in Data Mining with applications, examples, and explanations, read to know more. ... Classification techniques can be divided into categories - binary classification …
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data mining techniques on t he basis of identified pred ictive . variables and . d) It should conduct the val idation of the developed model . ... Classification methods like decision trees ...
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This paper reviews various Data Mining techniques such as classification, clustering, association, regression in health domain. ... On the basis of partitioned process this method . can be ...
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Classification: Definition Given a collection of records (training set) – Each record is by characterized by a tuple (x,y), where x is the attribute set and y is the class label u x: attribute, predictor, independent variable, input u y: class, response, dependent variable, output Task: Learn a model that maps each attribute set
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Nowadays, image classification has taken the front position in different areas of research such as data mining, computer vision, medical image analysis, artificial intelligence and so on [].Figure 1 shows the rapid rise in the unstructured data from the year 1970–2020 [].As images are mostly the unstructured data [], they need to be transformed to a structured format …
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The selection of the adequate mining method is the cornerstone for mine planning and design. ... In the Laubscher system (1981), the selection process is based on the rock mass classification. This method adjusts the predicted mining effects on rock mass strength. ... Conclusion The appropriate method of exploitation is the basis of the ...
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basis for classification of mining methods; Text mining in unstructured text techniques methods and. Text mining is a process to extract interesting and significant patterns to explore knowledge from textual data sources Approximately 90% of world s data is held in unstructured format .
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Second, the basis of classification of mining methods . There are many types of mining methods we use, and it is necessary to classify them for convenience. There are also a …
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• 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
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