Academic literature on the topic 'Test mining'

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Journal articles on the topic "Test mining"

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Yu, Guangming, Xiankun Zeng, Xianzhang Ling, Chuanbo Hao, and Kun Wang. "Study and Test on Development Regularity of Mining Speed of Coal Seam Separated from Overburden Strata." International Journal of Geology and Earth Sciences 6, no. 2 (June 2020): 15–19. http://dx.doi.org/10.18178/ijges.6.2.15-19.

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In the sedimentary coal stratum, rock stratum exhibits layered feature and has an obvious level. Overlying rock often produces separation along the level after the underground coal mining. But, due to the difference in the layers of rocks, the change of the mining process, the difference height in the level and other factors, the rule of separation is extremely complex. Therefore, in this paper, the allometric phenomenon, feature and laws of mining overburden separated strata are found by means of experiment and numerical simulation. The paper reveals the mechanical mechanism of allometric development of overburden separated strata, establishes its development formula based on the theory of beam in the mechanics, analyzing the space-time law of mining subsidence and overburden separation, and finally finds the relationship between surface subsidence and allometric growth of mining overburden separated strata, establishing the subsidence model based on allometric growth of mining overburden separated strata.
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Saifan, Ahmad A., Emad Alsukhni, Hanadi Alawneh, and Ayat AL Sbaih. "Test Case Reduction Using Data Mining Technique." International Journal of Software Innovation 4, no. 4 (October 2016): 56–70. http://dx.doi.org/10.4018/ijsi.2016100104.

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Software testing is a process of ratifying the functionality of software. It is a crucial area which consumes a great deal of time and cost. The time spent on testing is mainly concerned with testing large numbers of unreliable test cases. The authors' goal is to reduce the numbers and offer more reliable test cases, which can be achieved using certain selection techniques to choose a subset of existing test cases. The main goal of test case selection is to identify a subset of the test cases that are capable of satisfying the requirements as well as exposing most of the existing faults. The state of practice among test case selection heuristics is cyclomatic complexity and code coverage. The authors used clustering algorithm which is a data mining approach to reduce the number of test cases. Their approach was able to obtain 93 unique effective test cases out a total of 504.
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Dallmeier, Valentin, Nikolai Knopp, Christoph Mallon, Gordon Fraser, Sebastian Hack, and Andreas Zeller. "Automatically Generating Test Cases for Specification Mining." IEEE Transactions on Software Engineering 38, no. 2 (March 2012): 243–57. http://dx.doi.org/10.1109/tse.2011.105.

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Bołoz, Łukasz, and Witold Biały. "Methods and Test Benches for Cutting Tools Testing—A Review." Energies 16, no. 1 (December 30, 2022): 445. http://dx.doi.org/10.3390/en16010445.

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Mechanical mining is a widely used method of separating materials from the face to obtain a useful mineral (e.g., coal, metal ores, salts, and diamonds), to make underground workings (e.g., mine galleries, tunnels, and underground garages), level roads, shape slopes, or to dig ditches. Mechanical mining is applied in the mining branch, tunnelling, road, and construction industries. Depending on the mechanical properties of the rocks, most frequently described by uniaxial compression strength, various machines and tools are used. The methods of mining high-strength abrasive rocks that have been used and developed in recent years are particularly applicable to the mining of copper, gold, tungsten, platinum ores, diamond deposits, and tunnelling. In addition to rock strength, the effectiveness of the mining process is affected by abrasiveness, which influences the rate of abrasive tool wear. Therefore, in various research and development centres, but also in production companies, tools are tested on unique stands. Tests are carried out to determine the cutting resistance and assess the wear rate. This article reviews methods and benches for testing mining tools, conical picks, and discs. Various solutions for testing single tools and cutting heads have been presented. The analysis conducted has revealed that despite the large number and great diversity of different test benches, there are no appropriate methods and stands for testing the wear rate of materials intended for mining tools.
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Poulin, Robert, Jerusha Bennett, Antoine Filion, Upendra Raj Bhattarai, Xuhong Chai, Daniela de Angeli Dutra, Erica Donlon, et al. "iParasitology: Mining the Internet to Test Parasitological Hypotheses." Trends in Parasitology 37, no. 4 (April 2021): 267–72. http://dx.doi.org/10.1016/j.pt.2021.01.003.

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A. Saifan, Ahmad. "Test Case Reduction Using Data Mining Classifier Techniques." Journal of Software 11, no. 7 (July 2016): 656–63. http://dx.doi.org/10.17706/jsw.11.7.656-663.

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Liao, Manqian, Jeffrey Patton, Ray Yan, and Hong Jiao. "Mining Process Data to Detect Aberrant Test Takers." Measurement: Interdisciplinary Research and Perspectives 19, no. 2 (April 3, 2021): 93–105. http://dx.doi.org/10.1080/15366367.2020.1827203.

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Dransfield, Mark, Asbjorn Christensen, Peter Diorio, Marion Rose, and Peter Stone. "FALCON test results from the Bathurst Mining camp." ASEG Extended Abstracts 2001, no. 1 (December 2001): 1–4. http://dx.doi.org/10.1071/aseg2001ab032.

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Dransfield, Mark, Asbjorn Christensen, Marion Rose, Peter Stone, and Peter Diorio. "Falcon Test Results from the Bathurst Mining Camp." Exploration Geophysics 32, no. 3-4 (September 2001): 243–46. http://dx.doi.org/10.1071/eg01243.

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Zhang, Mingzhe, Yunzhan Gong, Yawen Wang, and Dahai Jin. "Mining constant information for readable test data generation." International Journal of Embedded Systems 14, no. 1 (2021): 9. http://dx.doi.org/10.1504/ijes.2021.112002.

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Dissertations / Theses on the topic "Test mining"

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Parmeza, Edvin. "Experimental Evaluation of Tools for Mining Test Execution Logs." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-53531.

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Data and software analysis tools are considered a very beneficial and advantageous approach that is used in the software industry environments. They are powerful tools that help to generate testing, web browsing and mail server statistics in different formats. These statistics are also known as logs or log files, and they can be generated in different formats, textually or visually, depending on the tool which tests them. Though these tools have been used in software industry for many years, there is still a lack of fully understanding them by software developers and testers. Literature study shows that related work on test execution log analysis is rather limited. Studies on evaluating a subset of features related to test execution logs are missing from existing literature since even those that exist are usually focused only on a one – feature comparison (e.g., fault – localization algorithms). One of the reasons for this issue might be the lack of experience or training. Some practitioners are also not fully involved with the testing tools that their companies use, so lack of time and involvement might be another reason that there are only a few experts on this field, who can understand these tools very well and find any error in a short time. This makes the need for more research on this topic even more important. In this thesis report, we presented a case study focused on the evaluation of tools which are used for analyzing test execution logs. Our work relied on three different studies: - Literature study - Experimental study - Expert - based survey study So, in order to get familiar with the topic, we started with the literature study. It helped us to investigate the current tools and approaches that exist in the software industry. It was a very important, but also difficult step, since it was hard to find research papers that are relevant to our work. Our topic was very specific, while many of research papers had performed just a general investigation on different tools. That is why in our literature search, in order to get relevant papers, we had to use specific digital libraries, terms and keywords, and a criteria for literature selection. In the next step, we experimented with two specific tools, in order to investigate their capabilities and features which they provide to analyze the execution logs. The tools we managed to work with are Splunk and Loggly. They were the only tools available for us which would comform to our thesis demands, containing the features that we needed for our work to be more complete. The last part of the study was a survey, which we sent to different experts. A total of twenty-six practitioners responded and their answers gave us a lot of useful information to enrich our work. The contributions of this thesis will be: 1. The analysis of the findings and results which are derived from the three conducted studies in order to identify the performance of the tools, the fault localization techniques they use, the test failures that occur during the test runs and conclude which one is better in these terms. 2. The proposals on how to improve further our work on log analysis tools. We explain what is needed in addition in order to understand better these tools and to provide correct results during testing.
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Myneni, Greeshma. "A System for Managing Experiments in Data Mining." University of Akron / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=akron1279373421.

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Shnorhokian, Shahe. "Development of a quantitative accelerated sulphate attack test for mine back fill." Thesis, McGill University, 2009. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=40712.

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Mining operations produce large amounts of tailings that are either disposed of in surface impoundments or used in the production of backfill to be placed underground. Their mineralogy is determined by the local geology, and it is not uncommon to come across tailings with a relatively high sulphide mineral content, including pyrite and pyrrhotite. Sulphides oxidize in the presence of oxygen and water to produce sulphate and acidity. In the concrete industry, sulphate is known to produce detrimental effects by reacting with the cement paste to produce the minerals ettringite and gypsum. Because mine backfill uses tailings and binders – including cement – it is therefore prone to sulphate attack where the required conditions are met. Currently, laboratory tests on mine backfill mostly measure mechanical properties such as strength parameters, and the study of the chemical aspects is restricted to the impact of tailings on the environment. The potential of sulphate attack in mine backfill has not been studied at length, and no tests are conducted on binders used in backfill for their resistance to attack. Current ASTM guidelines for sulphate attack tests have been deemed inadequate by several authors due to their measurement of only expansion as an indicator of attack. Furthermore, the tests take too long to perform or are restricted to cement mortars only, and not to mixed binders that include pozzolans. Based on these, an accelerated test for sulphate attack was developed in this work through modifying and compiling procedures that had been suggested by different authors. Small cubes of two different binders were fully immersed in daily-monitored sodium sulphate and sulphuric acid solutions for a total of 28 days, after 7 days of accelerated curing at 50ºC. In addition, four binders were partially immersed in the same solutions for 8 days for an accelerated attack process. The two procedures were conducted in tandem with leach tests using a mixed solution of
Les opérations minières produisent de grandes quantités de rejets miniers qui sont soit stockés en surface dans des haldes, soit réutilisés comme remblais sous terre. La minéralogie de ces déchets est dictée par la géologie des lieux, et il est commun de trouver des rejets qui ont une teneur élevée en minéraux sulfurés comme la pyrite et la pyrrhotite. Les sulfures sont oxydés en présence d’eau et d’oxygène et produisent une eau acide et riche en sulfates. Dans l’industrie du béton, un des grands problèmes provient de la réaction des sulfates de sources externes avec le ciment du béton pour former de l’ettringite et du gypse. Étant donné que les remblais dans les mines se servent des rejets et d’agents de liaison comme le ciment, ils sont sensibles aux attaques des sulfates si les conditions sont propices. En ce moment dans les laboratoires, on s’intéresse surtout aux paramètres mécaniques comme la résistance en compression et l’impact chimique que les rejets miniers ont sur l’environnement. Aucune recherche concrète n’a été faite sur les dangers de l’attaque des sulfates sur les remblais dans les mines et sur les différents agents de liaisons, afin de déterminer leurs résistances à de telles attaques.Les directives actuelles de l’ASTM pour tester l’attaque des sulfates se sont avérées inadéquates. En effet, ces tests sont seulement basés sur l’expansion, ce qui ne se produit pas forcément lors de l’attaque par des sulfates. De plus, ces tests sont trop longs et ne peuvent s’appliquer qu’à certains mélanges spécifiques de ciment et pas à d’autres comme la pouzzolane. Sur ces faits, un test accéléré a été mis en place par certains chercheurs. Après un séchage accéléré dans un four à 50ºC, des échantillons sont immergés dans des solutions de sulfate de sodium et d’acide sulfurique pendant 28 jours d’une part. D’autre part, d’autres échantillons sont immergés à moi
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Hagemann, Stephan. "Masszahlen für die Assoziationsanalyse im Data-Mining Fundierung, Analyse und Test." Hamburg Diplomica-Verl, 2005. http://d-nb.info/991844947/04.

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Tanner, Joseph Leo. "Fabrication and characterisation of multilayer test structures for coated conductor cylinder technology." Thesis, University of Birmingham, 2010. http://etheses.bham.ac.uk//id/eprint/1282/.

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The construction of a multi-layered, multi-turn coated conductor cylinder encompasses several aspects that may limit its performance unless they are designed and fabricated in a suitable way. This project investigates the optimum thicknesses of YBa\(_2\)Cu\(_3\)O\(_7\)\(_-\)\(_8\) (YBCO) superconductor and SrTiO\(_3\) (STO) insulator layers, interconnect design between YBCO layers and the fabrication process for defining tracks in the YBCO. Test samples were produced by pulsed laser deposition (PLD), photolithographic and ion-beam and chemical etching techniques and were characterised by AC susceptibility, transport measurements, atomic force microscopy (AFM), scanning electron microscopy (SEM), electron backscattered diffraction (EBSD) and x-ray diffraction (XRD). The growth conditions produce a YBCO film that develops a strong texture even over an ion-beam milled edge. Additional steps were required to remove contaminants from the surface after photolithographic processes, with both ion-beam milling and alkaline etch proving effective. Interconnects were successfully fabricated and were most effective when a large step was ion-beam milled into the first YBCO layer, rendering a critical current density (Jc) of 8.58x10\(^5\)A/cm\(^2\). Electrical transport through a crossover was made possible by the application of an additional etching process to create a more gentle slope although further optimisation is required to improve epitaxial growth on the track edge.
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Bohannon, Stacy Jo. "Hydrogeology of the San Xavier Mining Laboratory and Geophysics Test Site and surrounding area." FIND on the Web, 1991.

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Bohannon, Stacy Jo 1965. "Hydrogeology of the San Xavier Mining Laboratory and Geophysics Test Site and surrounding area." Thesis, The University of Arizona, 1991. http://hdl.handle.net/10150/192053.

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Water level, permeability, and water quality data indicate that the aquifer beneath the San Xavier Mining Laboratory is unconfined, high permeability, and isolated from the adjacent, upgradient aquifer. The aquifer at San Xavier has been dewatered considerably due to past pumping at the mine and at nearby open-pit mines. Water levels have not recovered due to the low permeability of the upgradient aquifer, and the restriction of the flow of ground water across the thrust fault separating the upgradient and San Xavier aquifers. The Mining Laboratory is in full compliance with the Aquifer Protection Permit issued to the facility by the Arizona Department of Environmental Quality. The ground water at the mine meets all state and federal primary drinking water standards. The future use of the aquifer does not appear to be threatened by research being conducted at the mine.
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Walters, Matthew. "Sulphide stress cracking test development for a weldable 13%cr supermartensitic stainless steel in simulated seabed environments." Thesis, University of Birmingham, 2016. http://etheses.bham.ac.uk//id/eprint/6726/.

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Weldable 13%Cr supermartensitic stainless steels are commonly used for subsea pipelines in the oil and gas industry. Although classified as corrosion resistant alloys, these steels can be susceptible to Sulphide Stress Cracking (SSC) when exposed to wet environments containing chlorides, carbon dioxide and low levels of hydrogen sulphide. Standard guidelines stipulate that laboratory SSC tests are performed at 24 °C and at the maximum design temperature, however some studies suggest that the risk of SSC could be greater at temperatures below 24 °C. Seabed temperatures can be as low as 5 °C, so in-service cracking could occur following shut-down conditions even if the material has been qualified at 24 °C. Four-point bend SSC tests performed at 5 °C and 24 °C in simulated seabed environments showed the material was more susceptible to SSC at 5 °C, but only when the as-received pipe surface was compromised. A supporting stress and strain investigation highlighted strain concentrations on the test surface which were coincident with the location of cracking observed in the SSC tests. Finite element simulations were used to demonstrate that tensile stress-strain data should be used over flexural bend data to load four-point bend specimens to the desired loading strain.
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Walker, Daniel David. "Bayesian Test Analytics for Document Collections." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3530.

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Modern document collections are too large to annotate and curate manually. As increasingly large amounts of data become available, historians, librarians and other scholars increasingly need to rely on automated systems to efficiently and accurately analyze the contents of their collections and to find new and interesting patterns therein. Modern techniques in Bayesian text analytics are becoming wide spread and have the potential to revolutionize the way that research is conducted. Much work has been done in the document modeling community towards this end,though most of it is focused on modern, relatively clean text data. We present research for improved modeling of document collections that may contain textual noise or that may include real-valued metadata associated with the documents. This class of documents includes many historical document collections. Indeed, our specific motivation for this work is to help improve the modeling of historical documents, which are often noisy and/or have historical context represented by metadata. Many historical documents are digitized by means of Optical Character Recognition(OCR) from document images of old and degraded original documents. Historical documents also often include associated metadata, such as timestamps,which can be incorporated in an analysis of their topical content. Many techniques, such as topic models, have been developed to automatically discover patterns of meaning in large collections of text. While these methods are useful, they can break down in the presence of OCR errors. We show the extent to which this performance breakdown occurs. The specific types of analyses covered in this dissertation are document clustering, feature selection, unsupervised and supervised topic modeling for documents with and without OCR errors and a new supervised topic model that uses Bayesian nonparametrics to improve the modeling of document metadata. We present results in each of these areas, with an emphasis on studying the effects of noise on the performance of the algorithms and on modeling the metadata associated with the documents. In this research we effectively: improve the state of the art in both document clustering and topic modeling; introduce a useful synthetic dataset for historical document researchers; and present analyses that empirically show how existing algorithms break down in the presence of OCR errors.
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Desta, Feven S., and Mike W. N. Buxton. "The use of RGB Imaging and FTIR Sensors for mineral mapping in the Reiche Zeche underground test mine, Freiberg." Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2018. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-231302.

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The application of sensor technologies for raw material characterization is rapidly growing, and innovative advancement of the technologies is observed. Sensors are being used as laboratory and in-situ techniques for characterization and definition of raw material properties. However, application of sensor technologies for underground mining resource extraction is very limited and highly dependent on the geological and operational environment. In this study the potential of RGB imaging and FTIR spectroscopy for the characterization of polymetallic sulphide minerals in a test case of Freiberg mine was investigated. A defined imaging procedure was used to acquire RGB images. The images were georeferenced, mosaicked and a mineral map was produced using a supervised image classification technique. Five mineral types have been identified and the overall classification accuracy shows the potential of the technique for the delineation of sulphide ores in an underground mine. FTIR data in combination with chemometric techniques were evaluated for discrimination of the test case materials. Experimental design was implemented in order to identify optimal pre-processing strategies. Using the processed data, PLS-DA classification models were developed to assess the capability of the model to discriminate the three material types. The acquired calibration and prediction statistics show the approach is efficient and provides acceptable classification success. In addition, important variables (wavelength location) responsible for the discrimination of the three materials type were identified.
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Books on the topic "Test mining"

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Field-use early-strength shotcrete test system. Pittsburgh, PA]: Dept. of Health and Human Services, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, 2011.

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Klein, Barry W. A new test procedure to characterize the reactivity of mining waste. S.l: s.n, 1994.

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Ruff, T. M. Test results of collision warning systems for surface mining dump trucks. Pittsburgh, PA: U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Pittsburgh Research Laboratory, 2000.

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Field-expedient shotcrete adhesion test system. Pittsburgh, PA]: Dept. of Health and Human Services, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, 2011.

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Naidenova, Xenia, and Viktor Shagalov. Diagnostic test approaches to machine learning and commonsense reasoning systems. Hershey, PA: Information Science Reference, 2013.

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Rosa, Maria I. De. Predicting materials' ease of combustion: Development of a simple test method. Washington, D.C: U.S. Dept. of the Interior, Bureau of Mines, 1992.

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Barnhisel, Richard I. Grain sorghum as a test crop to reclaim prime farmland disturbed for coal mining. S.l: s.n, 1989.

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Schmitz, Michael, and John A. Organiscak. A new leak test method for enclosed cab filtration systems. Pittsburgh, PA: Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Office of Mine Safety and Health Research, 2012.

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Re-issue of P01-04: Hoist examination and safety test requirements. Arlington, Va: U.S. Dept. of Labor, Mine Safety and Health Administration, 2008.

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Anderson, Donna L. Underground test results of a laser-based tram control system for a continuous miner. Washington, D.C: U.S. Dept. of the Interior, Bureau of Mines, 1992.

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Book chapters on the topic "Test mining"

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Sun, Xiaoxun. "Finding Dependency of Test Items from Students’ Response Data." In Educational Data Mining, 329–42. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02738-8_12.

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Wolschke, Christian, Dieter Rombach, Peter Liggesmeyer, and Thomas Kuhn. "Mining Test Inputs for Autonomous Vehicles." In Proceedings, 102–13. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-21300-8_9.

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Yang, Tingwu. "Test Data Management and Data Mining." In Telemetry Theory and Methods in Flight Test, 353–407. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4737-3_7.

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Burattin, Andrea. "Hands-On: Obtaining Test Data." In Process Mining Techniques in Business Environments, 163–74. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17482-2_16.

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Gibowicz, S. J. "Seismicity Induced by Mining: An Overview." In Monitoring a Comprehensive Test Ban Treaty, 385–409. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-011-0419-7_22.

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Yu, Lian, Lei Xu, and Wei-Tek Tsai. "Time-Constrained Test Selection for Regression Testing." In Advanced Data Mining and Applications, 221–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17313-4_23.

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Nguena Timo, Omer. "Mining Precise Test Oracle Modelled by FSM." In Testing Software and Systems, 20–36. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04673-5_2.

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Hu, Jian-Jun, Yue-Hong Sun, and Qing-Zhen Xu. "The Genetic Algorithm in the Test Paper Generation." In Web Information Systems and Mining, 109–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23971-7_16.

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Shimada, Kaoru, Kotaro Hirasawa, and Jinglu Hu. "Association Rule Mining with Chi-Squared Test Using Alternate Genetic Network Programming." In Advances in Data Mining. Applications in Medicine, Web Mining, Marketing, Image and Signal Mining, 202–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11790853_16.

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Zeller, Andreas. "Test des erarbeiteten Data-Mining-gestützten TFA-Identifikationsprozesses anhand von Fallbeispielen." In Technologiefrühaufklärung mit Data Mining, 177–215. Wiesbaden: Deutscher Universitätsverlag, 2003. http://dx.doi.org/10.1007/978-3-322-81586-6_6.

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Conference papers on the topic "Test mining"

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RAAMESH, LILLY, and G. V. UMA. "TEST CASE MINING." In Proceedings of the International Conference on ICCNT 2009. WORLD SCIENTIFIC, 2009. http://dx.doi.org/10.1142/9789814289771_0038.

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Liu, Yin, Qifeng Wang, and Haoqiang Zhang. "Durability Test of Gangue Paste Filling Material." In Taishan Academic Forum - Project on Mine Disaster Prevention and Control. Paris, France: Atlantis Press, 2014. http://dx.doi.org/10.2991/mining-14.2014.22.

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Hill, Gerald. "SECARB Anthropogenic Test Risk Management." In World Mining Congress. US DOE, 2013. http://dx.doi.org/10.2172/1765154.

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Xu, Weifeng, Hanlin Wang, and Tao Ding. "Mining Auto-generated Test Inputs for Test Oracle." In 2013 Tenth International Conference on Information Technology: New Generations (ITNG). IEEE, 2013. http://dx.doi.org/10.1109/itng.2013.126.

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Ban, Hiromi, and Takashi Oyabu. "Text Data Mining of the "Tourism English Proficiency Test"." In 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS). IEEE, 2018. http://dx.doi.org/10.1109/scis-isis.2018.00164.

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Cheng, Wu-Tung, Yue Tian, and Sudhakar M. Reddy. "Volume diagnosis data mining." In 2017 22nd IEEE European Test Symposium (ETS). IEEE, 2017. http://dx.doi.org/10.1109/ets.2017.7968238.

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Ankur Parikh, Weixin Wu, and Michael S. Hsiao. "Mining-guided state justification with partitioned navigation tracks." In 2007 IEEE International Test Conference. IEEE, 2007. http://dx.doi.org/10.1109/test.2007.4437588.

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Dallmeier, Valentin, Nikolai Knopp, Christoph Mallon, Sebastian Hack, and Andreas Zeller. "Generating test cases for specification mining." In the 19th international symposium. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1831708.1831719.

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Jinyong, Yao, and Jie Ma. "Accelerated Test Design of Aero Generator Based on Text Mining." In Proceedings of the 31st European Safety and Reliability Conference. Singapore: Research Publishing Services, 2021. http://dx.doi.org/10.3850/978-981-18-2016-8_733-cd.

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Weixin Wu and M. S. Hsiao. "SAT-based State Justification with Adaptive Mining of Invariants." In 2008 IEEE International Test Conference. IEEE, 2008. http://dx.doi.org/10.1109/test.2008.4700567.

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Reports on the topic "Test mining"

1

Kostoff, Ronald N., Robert Boylan, and Gene R. Simons. Science and Technology Test Mining: Disruptive Technology Roadmaps. Fort Belvoir, VA: Defense Technical Information Center, July 2003. http://dx.doi.org/10.21236/ada415933.

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Russell, S., and S. Vaidya. Machine Learning and Data Mining for Comprehensive Test Ban Treaty Monitoring. Office of Scientific and Technical Information (OSTI), July 2009. http://dx.doi.org/10.2172/967289.

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Walter, W. R., M. Denny, C. Pearson, and S. Myers. A Mining/Contained Explosion Source Phenomenology Experiment to Improve Nuclear Test Monitoring. Office of Scientific and Technical Information (OSTI), January 2000. http://dx.doi.org/10.2172/792352.

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Savard, M. M., J. M. E. Ahad, P. Gammon, A. I. Calderhead, A. Rivera, R. Martel, M. Klebek, et al. A local test study distinguishes natural from anthropogenic groundwater contaminants near an Athabasca Oil Sands mining operation. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2012. http://dx.doi.org/10.4095/292074.

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Jarpe, S. P., B. Moran, P. Goldstein, and L. A. Glenn. Implications of mining practices in an open-pit gold mine for monitoring of a comprehensive test-ban treaty. Office of Scientific and Technical Information (OSTI), January 1996. http://dx.doi.org/10.2172/207601.

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Kwasnitschka, Tom. Deep-Ocean Validation of the LIGHTHOUSE System - Cruise No. AL568, 11.11.21 – 22.11.21, Kiel (Germany) – Kiel (Germany) - LIGHTHOUSE-TEST III. Alkor-Berichte AL568. GEOMAR Helmholtz Centre for Ocean Research Kiel, 2021. http://dx.doi.org/10.3289/cr_al568.

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The objective of this cruise was to conduct the final and complete field test of the LIGHTHOUSE situational awareness system for remotely operated vehicles, developed in the HVF 0068 Project LIGHTHOUSE. This included three divesof the ROV PHOCAin the Norwegian Sognefjord, during which the optical and acoustic sensors were validated. Moreover, as part of the EU H2020 project iAtlantic (grant agreement 818123), we investigated the response of pelagic deep-sea fauna to warmingand suspended sediment (which will be introduced to pelagic ecosystems by deep-sea mining activities). To this end, we captured the jellyfish Periphylla periphyllaand conducted shipboard experiments.
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Jarpe, S. P., P. Goldstein, B. Moran, and L. A. Glenn. Preliminary report on the implications of mining practices in an open-pit gold mine for monitoring of a comprehensive Test Ban Treaty. Office of Scientific and Technical Information (OSTI), July 1995. http://dx.doi.org/10.2172/89555.

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Kostoff, Ronald N., Henry A. Buchtel, John Andrews, and Kirstin M. Pfeil. Science and Technology Text Mining: Text Mining of the Journal Cortex. Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada425249.

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Meike, A., W. L. Bourcier, and M. Alai. Potential long-term chemical effects of diesel fuel emissions on a mining environment: A preliminary assessment based on data from a deep subsurface tunnel at Rainer Mesa, Nevada test site. Office of Scientific and Technical Information (OSTI), September 1995. http://dx.doi.org/10.2172/230392.

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Haeckel, Matthias, and Peter Linke. RV SONNE Fahrtbericht/Cruise Report SO268 - Assessing the Impacts of Nodule Mining on the Deep-sea Environment: NoduleMonitoring, Manzanillo (Mexico) – Vancouver (Canada), 17.02. – 27.05.2019. GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel, November 2021. http://dx.doi.org/10.3289/geomar_rep_ns_59_20.

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Cruise SO268 is fully integrated into the second phase of the European collaborative JPI-Oceans project MiningImpact and is designed to assess the environmental impacts of deep-sea mining of polymetallic nodules in the Clarion-Clipperton Fracture Zone (CCZ). In particular, the cruise aimed at conducting an independent scientific monitoring of the first industrial test of a pre-protoype nodule collector by the Belgian company DEME-GSR. The work includes collecting the required baseline data in the designated trial and reference sites in the Belgian and German contract areas, a quantification of the spatial and temporal spread of the produced sediment plume during the trials as well as a first assessment of the generated environmental impacts. However, during SO268 Leg 1 DEME-GSR informed us that the collector trials would not take place as scheduled due to unresolvable technical problems. Thus, we adjusted our work plan accordingly by implementing our backup plan. This involved conducting a small-scale sediment plume experiment with a small chain dredge to quantify the spatial and temporal dispersal of the suspended sediment particles, their concentration in the plume as well as the spatial footprint and thickness of the deposited sediment blanket on the seabed.
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