drift mining process

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Two application areas

Metal and non-metal mines, cement, sand and gravel, metallurgy and other industries;

Cement

Metallurgy

Architecture

Mine

Medium and fine crushing, such as iron ore, non-ferrous metal ore, granite, limestone, quartzite, sandstone, river pebbles and other ores and rocks.

Iron ore

Granite

limestone

Manganese ore

River pebbles

Basalt

Gold mine

Copper ore

Solid product performance, brand-new crusher structure, and optimized laminated crushing cavity make it high in crushing efficiency and good product size. The new hydraulic control system makes the maintenance and adjustment of the crushing process more convenient and accurate.
At the same time, Liming Heavy Industry has a sales and service network all over the country and even around the world, and can also provide you with convenient, fast and professional technical support and after-sales service anytime and anywhere.

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Drift Mining, Mining Process, Mining Techniques, Gold ...

Drift mining is a process of accessing precious geological material, like coal, by cutting into the side of the earth, rather than tunneling directly downwards. Drift mines have flat entries into the coal seam from a hillside.

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Drift mining - Wikipedia

Drift mining methods were used extensively to mine placer deposits during the early years (1899- ) of the Nome mining district. During summer, surface deposits could be worked, but some placer deposits were buried too deeply for surface placering. In addition, water to wash the gold from the placers was not available in the winter. Many miners tunneled into deep placer deposits, bringing out the high-grade gravels to be washed at the spring thaw. Most of the ground in Nome is permafrost. By drift mining, mine

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Drift mining Britannica

methodology in mining. All horizontal or subhorizontal development openings made in a mine have the generic name of drift. These are simply tunnels made in the rock, with a size and shape depending on their use—for example, haulage, ventilation, or exploration. A drift running parallel to the.

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Handling Concept Drift in Process Mining

drifts in process mining, the following three main problems can be identi ed: 1. Change (Point) Detection: The rst and most fundamental problem is to detect concept drift in processes, i.e., detect that a process change has taken place. If so, the next step is to identify the time periods at which changes have taken place. 2. Change Localization and Characterization: Once a point of change has been

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Process Drift - Skan

Process Drift. Enterprise Process Drift is an inevitable consequence of the ebbs and flows and pulls and pressures of operations over time. While process drift happens and is mostly unavoidable, the consequences can be material and impact wide-ranging outcomes. The process drift and the consequent variations in how workflows transpire are what ...

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Capturing the Sudden Concept Drift in Process Mining

correlation strength, sudden drift 1 Introduction Process mining is a fairly new research discipline that stands between process modeling and analysis on the one hand, and computational intelligence and data mining on the other hand. The idea of process mining is to discover, monitor

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Drifts/Inclined Shafts Introduction underground COAL

Drifts/Inclined Shafts. The angle at which a drift becomes an inclined shaft is somewhat subjective, but there is some agreement that anything above 30 o to the horizontal is a shaft, not a drift.. A major advantage of drift or inclined shaft access versus vertical shaft access is the ability to move large volumes of equipment, materials and personnel in a properly designed and equipped drift ...

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Handling Concept Drift in Predictive Process Monitoring

called concept drift is likely to occur in real-life business processes: over time, the execution of a process evolves in terms of control-flow dependencies and data handling. While the presence of concept drift in business processes has been acknowledged in the process mining literature, existing work focuses on drift detection and localisation.

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Dealing With Concept Drifts in Process Mining: A Case ...

porary process mining techniques tend to analyze these processes as if they are in steady-state. Processes may change suddenly or gradually. The drift may be periodic (e.g. due to seasonal in uences) or one-of-a-kind (e.g., the e ects of new legislation). For process management it is crucial to discover and understand such concept drifts in processes. In this paper, we present a case study of ...

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Process Drift - Skan

Process Drift. Enterprise Process Drift is an inevitable consequence of the ebbs and flows and pulls and pressures of operations over time. While process drift happens and is mostly unavoidable, the consequences can be material and impact wide-ranging outcomes. The process drift and the consequent variations in how workflows transpire are what ...

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Handling Concept Drift in Process Mining SpringerLink

20/06/2011  While the topic of flexibility is well-researched in the BPM domain, contemporary process mining approaches assume the process to be in steady state. When discovering a process model from event logs, it is assumed that the process at the beginning of the recorded period is the same as the process at the end of the recorded period. Obviously, this is often not the case due to the

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Handling Concept Drift in Predictive Process Monitoring

drift, and concept drift in process mining. A. Related Work on Predictive Monitoring The general idea of predictive process monitoring (PPM) is to predict the outcome of a running process instance based on past process executions. As such, PPM relies on an offline, supervised learning phase as illustrated in Figure 1. From the information systems that support the conduct of a business process ...

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Concept drift detection and localization in process mining ...

Concept drift detection and localization in process mining: an integrated and efficient approach enabled by trace clustering

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Online Techniques for Dealing with Concept Drift in ...

Concept Drift in Process Mining Josep Carmona and Ricard Gavald a Universitat Polit ecnica de Catalunya Barcelona, Spain Abstract. Concept drift is an important concern for any data analysis scenario involving temporally ordered data. In the last decade Process mining arose as a discipline that uses the logs of information systems in order to mine, analyze and enhance the process dimension ...

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Drifts/Inclined Shafts Introduction underground COAL

Drifts/Inclined Shafts. The angle at which a drift becomes an inclined shaft is somewhat subjective, but there is some agreement that anything above 30 o to the horizontal is a shaft, not a drift.. A major advantage of drift or inclined shaft access versus vertical shaft access is the ability to move large volumes of equipment, materials and personnel in a properly designed and equipped drift ...

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1 Detecting Sudden and Gradual Drifts in Business ...

Index Terms—Business process management, process mining, change detection, concept drift. F 1 INTRODUCTION Business processes need to continuously change in response to external factors, such as variations in demand, supply, customer expectations and regulations, as well as seasonal factors. Some changes are planned and documented, but others occur unexpect-edly and may remain

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A survey on concept drift adaptation ACM Computing

Online Techniques for Dealing with Concept Drift in Process Mining. In Proc. 11th Int. Symp. Advances in Intelligent Data Analysis XI. Springer, Berlin, 90--102. ...

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Handling Concept Drift for Predictions in Business Process ...

Sudden concept drift in process mining, such as rearranging or replacing activities, has been examined [22]. The authors propose to detect those drifts by computing correlation between event classes. Another approach proposes a framework which computes dedicated features on the event logs and subsequently compares those features over different windows to detect concept drift [31]. In this ...

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Dealing With Concept Drifts in Process Mining: A Case ...

porary process mining techniques tend to analyze these processes as if they are in steady-state. Processes may change suddenly or gradually. The drift may be periodic (e.g. due to seasonal in uences) or one-of-a-kind (e.g., the e ects of new legislation). For process management it is crucial to discover and understand such concept drifts in processes. In this paper, we present a case study of ...

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ENHANCED CONCEPT DRIFT IN PROCESS MINING

Fig-1 : Different dimensions of concept drift analysis in process mining[8]. We can differentiate between two broad classes of dealing with concept drifts when analysing event logs[7]. 1) Offline analysis: This refers to the scenario where the presence of changes or the occurrence of drifts need not be uncovered in a real time. This is appropriate in cases where the detection of changes is ...

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Process Drift - Skan

Process Drift. Enterprise Process Drift is an inevitable consequence of the ebbs and flows and pulls and pressures of operations over time. While process drift happens and is mostly unavoidable, the consequences can be material and impact wide-ranging outcomes. The process drift and the consequent variations in how workflows transpire are what ...

Get Quote

Handling Concept Drift in Process Mining SpringerLink

20/06/2011  While the topic of flexibility is well-researched in the BPM domain, contemporary process mining approaches assume the process to be in steady state. When discovering a process model from event logs, it is assumed that the process at the beginning of the recorded period is the same as the process at the end of the recorded period. Obviously, this is often not the case due to the

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Mining Levels: Stations, Drifts, Crosscuts

29/03/2017  Levels are established at 200-foot vertical intervals, and level development comprises the cutting of shaft stations and skip pockets, crosscuts to the vein with extensions to provide room for tail track, pump, and motor-charging stations near the shaft and drifts on the vein. Drifts are 13 by 13 feet in cross section and are timbered with ...

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Online Techniques for Dealing with Concept Drift in ...

Concept Drift in Process Mining Josep Carmona and Ricard Gavald a Universitat Polit ecnica de Catalunya Barcelona, Spain Abstract. Concept drift is an important concern for any data analysis scenario involving temporally ordered data. In the last decade Process mining arose as a discipline that uses the logs of information systems in order to mine, analyze and enhance the process dimension ...

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Feature Extraction Mechanism for Dealing with Concept ...

Keywords: Concept Drift, Process Mining, Process, Drift, Feature Extraction. I. INTRODUCTION Process mining is a process management technique that allows for the analysis of business processes based on event logs. The basic idea is to extract knowledge from event logs recorded by an information system. Process mining aims at improving this by providing techniques and tools for discovering ...

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Drifts/Inclined Shafts Introduction underground COAL

Drifts/Inclined Shafts. The angle at which a drift becomes an inclined shaft is somewhat subjective, but there is some agreement that anything above 30 o to the horizontal is a shaft, not a drift.. A major advantage of drift or inclined shaft access versus vertical shaft access is the ability to move large volumes of equipment, materials and personnel in a properly designed and equipped drift ...

Get Quote

[2105.13155] A Framework for Explainable Concept Drift ...

27/05/2021  Research in process mining has so far only focused on detecting, locating and characterizing significant changes in a process and not on finding root causes of such changes. In this paper, we aim to close this gap. We propose a framework that adds an explainability level onto concept drift detection in process mining and provides insights into the cause-effect relationships behind

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An overview of concept drift applications

the concept drift application perspective, and concludes the study. 2 Knowledge discovery process and industry standards In the era of big data, many data mining projects shift their emphasis towards evolving nature of the data that requires to study the automation of feedback loops more thoroughly. In the standard data mining and machine ...

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Dealing With Concept Drifts in Process Mining: A Case ...

porary process mining techniques tend to analyze these processes as if they are in steady-state. Processes may change suddenly or gradually. The drift may be periodic (e.g. due to seasonal in uences) or one-of-a-kind (e.g., the e ects of new legislation). For process management it is crucial to discover and understand such concept drifts in processes. In this paper, we present a case study of ...

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Review Paper on Concept Drift in Process Mining

concept drifts in process mining. The framework identifies the following steps[8]: 1) Feature extraction and selection: This step pertains in defining the characteristics of the traces in an event log. There are four features that characterize the control-flow perspective of process instances in an event log. Depending on the focus of analysis, we may define additional features, e.g., if we ...

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ENHANCED CONCEPT DRIFT IN PROCESS MINING

Fig-1 : Different dimensions of concept drift analysis in process mining[8]. We can differentiate between two broad classes of dealing with concept drifts when analysing event logs[7]. 1) Offline analysis: This refers to the scenario where the presence of changes or the occurrence of drifts need not be uncovered in a real time. This is appropriate in cases where the detection of changes is ...

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A Noval Approach for Process Mining Using Concept

A Noval Approach for Process Mining Using Concept Drift.pdf. Download. A Noval Approach for Process Mining Using Concept Drift.pdf

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Mining Levels: Stations, Drifts, Crosscuts

29/03/2017  Levels are established at 200-foot vertical intervals, and level development comprises the cutting of shaft stations and skip pockets, crosscuts to the vein with extensions to provide room for tail track, pump, and motor-charging stations near the shaft and drifts on the vein. Drifts are 13 by 13 feet in cross section and are timbered with ...

Get Quote

Online Techniques for Dealing with Concept Drift in ...

Concept Drift in Process Mining Josep Carmona and Ricard Gavald a Universitat Polit ecnica de Catalunya Barcelona, Spain Abstract. Concept drift is an important concern for any data analysis scenario involving temporally ordered data. In the last decade Process mining arose as a discipline that uses the logs of information systems in order to mine, analyze and enhance the process dimension ...

Get Quote

Feature Extraction Mechanism for Dealing with Concept ...

Keywords: Concept Drift, Process Mining, Process, Drift, Feature Extraction. I. INTRODUCTION Process mining is a process management technique that allows for the analysis of business processes based on event logs. The basic idea is to extract knowledge from event logs recorded by an information system. Process mining aims at improving this by providing techniques and tools for discovering ...

Get Quote

[2105.13155] A Framework for Explainable Concept Drift ...

27/05/2021  Research in process mining has so far only focused on detecting, locating and characterizing significant changes in a process and not on finding root causes of such changes. In this paper, we aim to close this gap. We propose a framework that adds an explainability level onto concept drift detection in process mining and provides insights into the cause-effect relationships behind

Get Quote

An overview of concept drift applications

the concept drift application perspective, and concludes the study. 2 Knowledge discovery process and industry standards In the era of big data, many data mining projects shift their emphasis towards evolving nature of the data that requires to study the automation of feedback loops more thoroughly. In the standard data mining and machine ...

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Excavation Methods - Drifts/Inclined Shafts/Declines ...

This gives a more continuous process and should give a good drift profile. The use is limited by the grades involved (maximum 1:4) and the hardness of the material to be cut (maximum 60-80 MPa UCS). Use of a tunnel boring machine. Provides a good, circular profile which is good for stability and ventilation but usually requires a false floor to ...

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