• A new underground auger mining system

    The Journal of The South African Institute of Mining and Metallurgy JANUARY/FEBRUARY 2001 25 Introduction The potential for underground coal production from drilling or augering machines has been recognized since at least the 1940s. These machines could bore into the coal from stabilized entries and provide access to otherwise sterilized coal reserves. Such operations were held to offer ...

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  • Appliion of Data Mining to "Big Data ...

     · Data mining may offer great promise at finding novel and complex relationships within data sets, but because of the size of the data sets, and the number of comparisons made during mining, many of these may be spurious. Beside statistical confidence, expert interpretation and validation will always be required in order to provide context and to extract potential value from the findings ...

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  • DATA MINING AND MACHINE LEARNING IN ASTRONOMY ...

    We review the current state of data mining and machine learning in astronomy. Data Mining can have a somewhat mixed connotation from the point of view of a researcher in this field. If used correctly, it can be a powerful approach, holding the potential to fully exploit the exponentially increasing amount of available data, promising great scientific advance.

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  • Computeraided design of robotised technology for ...

    (2015). Computeraided design of robotised technology for manufacturing working units of mining machines. International Journal of Mining, Reclamation and Environment: Vol. 29, No. 1, pp. 6281.

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  • Neural NetworkBased Machine Learning in Data Mining for ...

     · However, traditional machine learning techniques are not very effective in mining useful information from big data due to their limitations in handling complex tasks. Neural networks are widely accepted as AI approaches, offering an alternative way to control complex and illdefined problems. Thus, neural networkbased machine learning is necessary to solve these problems in complex and in ...

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  • Using Machine Learning Algorithms to Analyze Crime Data

    Machine Learning and Applii ons: An International Journal (MLAIJ),, March 2015. 2. enforcement officials have turned to data mining and machine learning to aid in the fight of crime ...

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  •  · No 1 source of global mining news and opinion. Demand for the material used in electric cars and renewableenergy storage has soared and, while .

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  • | Mining news and indepth features

    Mining Journal Select 365: Mining. Investment. Online. register now. Future of Mining Australia. date: 28/03/2022 loion: Sofitel Sydney Wentworth, Australia Meet the industry leaders who shape the Future of Mining in Australia more events. research. research. Read More. Mining Magazine Intelligence Automation Report 2021 ...

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  • Special Interest Group on Knowledge Discovery and Data Mining

    Sig·K·D·D ˈsigkādēdē Noun (20 c) 1: The Association for Computing Machinery's Special Interest Group on Knowledge Discovery and Data Mining. 2: The community for data mining, data science and analytics. Latest News. SIGKDD Honors Career Achievements in Knowledge Discovery and Data Mining. Read More. Latest News. 2021 SIGKDD Test of Time Award Winners. Read More. Our .

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  • Fusing Data Mining, Machine Learning and Traditional ...

     · Background Atheoretical largescale data mining techniques using machine learning algorithms have promise in the analysis of large epidemiological datasets. This study illustrates the use of a hybrid methodology for variable selection that took account of missing data and complex survey design to identify key biomarkers associated with depression from a large epidemiological study.

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  • Surface Mining Methods and Equipment

    Solution Mining 2. Surface Mining Machinery Glossary Bibliography Biographical Sketches Summary This chapter deals with surface mining. Section 1 presents an overview of surface mining methods and practices as commonly employe d in modern surface mining operations. The description includes a comparison of the advantages and disadvantages of surface and underground mining as .

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  • KDD Conference

    KDD. The annual ACM SIGKDD conference is the premier international forum for data mining researchers and practitioners from academia, industry, and government to share their ideas, research results and experiences. The KDD conferences feature keynote presentations, oral paper presentations, poster sessions, workshops, tutorials, panels ...

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  • Journal Transactions on Machine Learning and Data Mining ...

    About the Journals. The International Journal "Transactions on Machine Learning and Data Mining" is a periodical appearing twice a year. The journal focuses on novel theoretical work for particular topics in Data Mining and appliions on Data Mining. The topics are but not limited to Data Mining: Marketing. Medicine. ECommerce (Mining Logfiles)

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  • Forecasting timetofailure of machine using hybrid Neuro ...

    (2018). Forecasting timetofailure of machine using hybrid Neurogenetic algorithm – a case study in mining machinery. International Journal of Mining, Reclamation and Environment: Vol. 32, .

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  • International Journal of Mining Science and Technology ...

    International Journal of Mining Science and Technology is a bimonthly Englishlanguage journal. It was founded in 1990 and was originally the Journal of China University of Mining and journal publishes original and innovative research papers and highquality reviews covering the .

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  • Communiions of the ACM

     · Human Detection of MachineManipulated Media. Six Reasons Why Virtual Reality Is a GameChanging Computing and Communiion Platform for Organizations. Latest News. Chip Shortages Likely To Linger Through 2022 Building capacity for new chips is a lengthy process. Facebook Explains What Caused Its Widespread Outage The social network's .

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  • Machine learning in cybersecurity: a ...

     · Miller, ST, BusbyEarle, C. Multiperspective machine learning a classifier ensemble method for intrusion detection. In: proceedings of the 2017 international conference on machine learning and soft computing (ICMLSC '17), Association for Computing Machinery, New York, NY, USA, 17–19 January 2017, pp. 7 – 12. Google Scholar

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  • Data Mining Technology Based on Machine Learning Algorithm ...

    Our innovation Data Mining Technology Based on Machine Learning Algorithm is a homegrown society has gained extraordinary headway and different advancements and ideas have been applied and grown persistently. The development is a Machine learning calculation is a clever calculation which assumes an extraordinary part in varying backgrounds and a Machine learning is a course of personal growth ...

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  • WIREs Data Mining and Knowledge Discovery

    WIREs Data Mining and Knowledge Discovery. Edited By: Witold Pedrycz. Impact factor: 2020 Journal Citation Reports (Clarivate Analytics): 19/139 (Computer Science, Artificial Intelligence) 6/110 (Computer Science, Theory Methods) Online ISSN: . LATEST ISSUE >.

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  • Future of Mining Australia 2022

    MEET THE INDUSTRY LEADERS SHAPING THE FUTURE OF MINING. We are delighted to announce that Future of Mining Australia is back! Taking place live on the 28th29th March 2022, we will gather over 400+ senior decision makers from the mining ecosystem to discuss their zero emission zero entry roadmaps which will enable them to meet their pledged sustainability targets.

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  • INTERNATIONAL JOURNAL OF SCIENTIFIC TECHNOLOGY .

    INTERNATIONAL JOURNAL OF SCIENTIFIC TECHNOLOGY RESEARCH VOLUME 9, ISSUE 01, JANUARY 2020 ISSN 3236 IJSTR©2020 Prediction Of Rainfall Using Machine Learning Techniques Moulana Mohammed, Roshitha Kolapalli, Niharika Golla, Siva Sai Maturi Abstract: Rainfall prediction is important as heavy rainfall can lead to many disasters. The prediction helps .

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  • Research on Appliion of Machine Learning in Data Mining ...

     · Data mining has been widely used in the business field, and machine learning can perform data analysis and pattern discovery, thus playing a key role in data mining appliion. This paper expounds the definition, model, development stage, classifiion and commercial appliion of machine learning, and emphasizes the role of machine learning in data mining. Understanding the various machine ...

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  • Equipment Selection for Surface Mining: A Review

    Mining trucks, also called haul trucks or o road trucks, haul the ore or waste material from the loader to a dumpsite. More commonly, these vary from 36 tons to 315 tons. The size and cost of operating mining trucks is directly proportional to its tray capacity, while the speed at which the truck can travel is inversely proportional to its capacity. As with loaders, the variety of truck types ...

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  • Predicting the occurrence of surgical ...

     · Using text mining and machine learning to direct a more effective sampling by the surveillance team may lead to more infected patients being detected, yielding more reliable infection indiors and improving the goldstandard for future studies. Using the best algorithms for predicting and detecting SSIs may reduce the number of cases to be monitored in the postoperation period by more .

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  • Journal Bearings and Their Lubriion

    Many outdoor construction and mining equipment appliions incorporate pins and bushings. Consequently, shock loading and water and dirt contamination are often major factors in their lubriion. Figure 1. Kingsbury Radial and Thrust Pad Bearing. Dry journal bearings consist of a shaft rotating in a dry sleeve, usually a polymer, which may be blended with solids such as molybdenum, graphite ...

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