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Data Mining: How to use business data to improve business ...

 · Finally yet importantly, techniques can be in an online setting known as operational support. An example is the detection of non-conformance at the moment the deviation actually takes place. These relatively new techniques are applied in several business sectors, private or public, and deliver valuable insights where ...

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  • Mineral processing | metallurgy | Britannica

    Mineral processing | metallurgy | Britannica

    , art of treating crude ores and mineral products in order to separate the valuable minerals from the waste rock, or gangue. It is the first process that most ores undergo after mining in order to provide a more concentrated material for the procedures of extractive metallurgy.

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  • How Process Mining Can Help Manufacturing and Assembly ...

    How Process Mining Can Help Manufacturing and Assembly ...

    This -generated business model can be as a jumping off point for further analysis by various business improvement frameworks, such as SCOR from APICS, where it could serve as the working model for the “AS-IS” condition.

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  • Data Mining Tutorial: What is | Process | Techniques ...

    Data Mining Tutorial: What is | Process | Techniques ...

     · What is Data ? Data is a of finding potentially useful patterns from huge data sets. It is a multi-disciplinary skill that uses machine learning, statistics, and AI to extract information to evaluate future events probability.The insights derived from Data are for marketing, fraud detection, scientific discovery, etc.

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  • Quality Prediction in a Mining Process Using Machine ...

    Quality Prediction in a Mining Process Using Machine ...

     · For our model , we obtained the dataset called “Quality Prediction in a ” obtained from Kaggle is . Since it is a plant data, it is the product of a manufacturing ...

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  • Data Mining Process: Models, Process Steps & Challenges ...

    Data Mining Process: Models, Process Steps & Challenges ...

     · Data Mining is a promising field in the world of science and technology. Data Mining, which is also known as Knowledge Discovery in Databases is a process of discovering useful information from large volumes of data stored in databases and data warehouses. This analysis is done for decision-making processes in the companies.

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  • 38 Process mining case studies & project results [2021 update]

    38 Process mining case studies & project results [2021 update]

     · For example, by using , Vodafone discovered that they have low automated transactions, and decided to focus on this area. As it started to robotic automation RPA to improve its order , Vodafone has decreased its unit order costs from $3.22 to $2.85.

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  • Process Advisor—Process Mining | Microsoft Power Automate

    Process Advisor—Process Mining | Microsoft Power Automate

    Simplify how you work by discovering workflow bottlenecks through in Power Automate. Try the preview. Run simple recorders. Quickly capture the detailed steps for each —working on your own or inviting colleagues to contribute and collaborate.

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  • 19 questions with answers in PROCESS MINING | Science topic

    19 questions with answers in PROCESS MINING | Science topic

     · Basically, you can try to in every step where you think there is a invovled. In order to the main thing will the ability to collect meaningful ...

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  • What is Process mining? - IONOS

    What is Process mining? - IONOS

    techniques are to compare the existing model with current event data in order to determine differences between the model and reality. The resulting diagnosis of a conformance test like this enables conclusions to be drawn about the quality of the model under investigation.

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  • A Guide on Mining Equipment Used in the Mining Industry

    A Guide on Mining Equipment Used in the Mining Industry

    Specialised underground equipment such as diggers, loaders, and trucks are to excavate raw materials and transferred to the surface with lifts for future processing.

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  • Mining -

    Mining -

    is the extraction of valuable minerals or other geological materials from the Earth, usually from an ore body, lode, vein, seam, reef or placer deposit.These deposits form a mineralized commodity that is of economic interest to the miner. Ores recovered by include metals, coal, oil shale, gemstones, limestone, chalk, dimension stone, rock salt, potash, gravel, and clay.

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  • Mining - Underground mining | Britannica

    Mining - Underground mining | Britannica

    - Underground : When any ore body lies a considerable distance below the surface, the amount of waste that has to be removed in order to uncover the ore through surface becomes prohibitive, and underground techniques must be considered. Counting against underground are the costs, which, for each ton of material mined, are much higher underground than on the ...

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  • Mercury Usage in Gold Mining and Why It Is a Problem

    Mercury Usage in Gold Mining and Why It Is a Problem

     · The problem with this method is the release of the mercury vapor into the environment. Even if the equipment is to catch the vapor, some still can get into the atmosphere. Mercury also can get into the soil and water if it still is contaminating other waste materials from the that may be discarded.

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  • Process Mining Versus Process Discovery: An In-Depth ...

    Process Mining Versus Process Discovery: An In-Depth ...

     · cases include: Discovery: The ideal model is created after analyzing the event logs and there was no previous model Conformance: Also called deviation analysis, in this case, you already have a model, which acts as a benchmark to compare the collected event logs Performance: You already have a model with performance indicators in this ...

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