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  2. Special Interest Group on Knowledge Discovery and Data Mining

    en.wikipedia.org/wiki/Special_Interest_Group_on...

    The focus is on innovative research in data mining, knowledge discovery, and large-scale data analytics. Papers emphasizing theoretical foundations are particularly encouraged, as are novel modeling and algorithmic approaches to specific data mining problems in scientific, business, medical, and engineering applications.

  3. Fatigue detection software - Wikipedia

    en.wikipedia.org/wiki/Fatigue_detection_software

    Fatigue detection software is intended to reduce fatigue related fatalities and incidents. Several companies are working on a technology for use in industries such as mining, road- and rail haulage and aviation. The technology may soon find wider applications in industries such as health care and education. [citation needed]

  4. Wilfley table - Wikipedia

    en.wikipedia.org/wiki/Wilfley_table

    Patented in 1897, [9] the Wilfley table made mining lower-grade ores profitable. Pulverised ore, suspended in a water solution, was washed across a sloping riffled vibrating table so that metals separated as they drained off. [6] [9] The Wilfley Table was said to have revolutionised ore dressing worldwide and more than 25,000 were in service by ...

  5. New York City Science and Engineering Fair - Wikipedia

    en.wikipedia.org/wiki/New_York_City_Science_and...

    The New York City Science and Engineering Fair (NYCSEF) is an annual science fair contested by around 700 high school students from Queens, Manhattan, Bronx, Brooklyn and Staten Island, [1] [2] [3] making it the largest high school research competition in New York City. [4] About 150 participants advance to the finals round. [1]

  6. Data mining - Wikipedia

    en.wikipedia.org/wiki/Data_mining

    The difference between data analysis and data mining is that data analysis is used to test models and hypotheses on the dataset, e.g., analyzing the effectiveness of a marketing campaign, regardless of the amount of data. In contrast, data mining uses machine learning and statistical models to uncover clandestine or hidden patterns in a large ...

  7. Fatigue Avoidance Scheduling Tool - Wikipedia

    en.wikipedia.org/wiki/Fatigue_Avoidance...

    The Fatigue Avoidance Scheduling Tool (FAST) was developed by the United States Air Force in 2000–2001 to address the problem of aircrew fatigue in aircrew flight scheduling. [2] FAST is a Windows program that allows scientists, planners and schedulers to quantify the effects of various work-rest schedules on human performance.

  8. Low-cycle fatigue - Wikipedia

    en.wikipedia.org/wiki/Low-cycle_fatigue

    Unfortunately, there was limited experimental data available to directly construct a S-N curve for low-cycle fatigue, so most of the analysis consisted of plotting the high-cycle fatigue behavior on a S-N curve and extending the line for that graph to create the portion of the low-cycle fatigue curve using the Palmgren-Miner method.

  9. SCIgen - Wikipedia

    en.wikipedia.org/wiki/SCIgen

    SCIgen is a paper generator that uses context-free grammar to randomly generate nonsense in the form of computer science research papers. Its original data source was a collection of computer science papers downloaded from CiteSeer. All elements of the papers are formed, including graphs, diagrams, and citations.

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