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The importance of data quality and traceability in data mining. Applications of robust methods for multivariate data analysis. A case-study conducting the herring industry

机译：数据质量和可追溯性在数据挖掘中的重要性。稳健方法在多变量数据分析中的应用。进行鲱鱼产业的个案研究

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作者
Frosch Stina;
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年度 2006
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原文格式 PDF
正文语种 eng
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1. Opportunities for the herring industry to optimize operations through information recording, effective traceability systems, and use of advanced data analysis. [J] . Frosch S., Randrup M., Frederiksen M. T. Journal of aquatic food product technology . 2008,第4期

机译：通过信息记录，有效的追溯系统和使用高级数据分析，鲱鱼业有机会优化运营。
2. Restricted imputation for improving spatial consistency in landscape level data for forest scenario analysis. (Special Issue: Emerging methods for handling missing data in forest ecology and management applications.) [J] . Barth A., Lind T., Stahl G. Forest Ecology and Management . 2012,第Null期

机译：限制插补，以提高用于森林情景分析的景观水平数据的空间一致性。（特刊：森林生态学和管理应用中处理缺失数据的新兴方法。）
3. Methods for descriptive factor analysis of multivariate geostatistical data: a case-study comparison [J] . Oman Samuel D., Vakulenko-Lagun Bella, Zilberbrand Michael Stochastic environmental research and risk assessment . 2015,第4期

机译：多元地统计数据描述性因子分析方法：案例研究比较
4. From data collection to knowledge data discovery: a medical application of data mining. [C] . Duhamel A, Picavet M, Devos P, MEDINFO . 2001

机译：从数据收集到知识数据发现：数据挖掘的医学应用。
5. Variable selection methodology for high -dimensional multivariate binary data with application to microbial community DNA fingerprint analysis. [D] . Wilbur, Jayson Dwight. 2002

机译：高维多元二进制数据的变量选择方法，应用于微生物群落DNA指纹分析。
6. A Robust Method for comparing Two Treatments in a Confirmatory Clinical Trial via Multivariate Time-to-event Methods that jointly incorporate Information from Longitudinal and Time-to-event Data [O] . Benjamin R. Saville, Amy H. Herring, Gary G. Koch -1

机译：一种稳健的方法用于通过多变量的时间 - 事件方法将两种治疗中的两种治疗进行比较这些方法共同纳入纵向和截至事件数据的信息
7. Robust methods for analyzing multivariate responses with application to time-course data [O] . Kim Ji Young 2010

机译：用于分析多变量响应的稳健方法，适用于时间过程数据

The importance of data quality and traceability in data mining. Applications of robust methods for multivariate data analysis. A case-study conducting the herring industry

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