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Xinhai mineral processing equipment mainly include: grinding equipment, flotation equipment, dewatering equipment, magnetic separation equipment, and so on. Some of the equipment is Xinhai independent research and development, and has been awarded national patent.

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Ethics of Data Mining and Aggregation Brian Busovsky Introduction A Paradox of Power The terrorist attacks of September 11, 2001 were a global tragedy that brought feelings of fear, anger, and helplessness to people worldwide. After sharing this initial reaction, Hank Asher, founder of Seisint, a private company that maintained a massive

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Data aggregation is a type of data and information mining process where data is searched, gathered and presented in a report based, summarized format to achieve specific business objectives or processes and/or conduct human analysis. Data aggregation may be

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CHEMICAL ENGINEERING EDUCATION (ISSN 0009 2479) is published quarterly by the Chemical Engineering Division. American Society for Engineering Education and is edited at the University of Florida. Correspondence regarding editorial matter, circulation, and changes of address should be sent to CEE, Chemical Engineering Department.

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Jun 19, 20170183;32;The data set will likely be huge Complex data analysis and mining on huge amounts of data can take a long time, making such analysis impractical or infeasible. Data reduction techniques can be applied to obtain a compressed representation of the data set that is much smaller in volume, yet maintains the integrity of the original data.

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Jan 06, 20170183;32;In this Data Mining Fundamentals tutorial, we discuss our first data cleaning strategy, data aggregation. Aggregation is combining two or more attributes (or objects) into a single attribute (or

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Jan 07, 20110183;32;A successful data warehousing strategy requires a powerful, fast, and easy way to develop useful information from raw data. Data analysis and data mining tools use quantitative analysis, cluster analysis, pattern recognition, correlation discovery, and associations to analyze data with little or no IT intervention.

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23 OLAP and Data Mining. In large data warehouse environments, many different types of analysis can occur. In addition to SQL queries, you may also apply more advanced analytical operations to your data. Two major types of such analysis are OLAP (On Line Analytic Processing) and data mining.

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