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Low-quality data under the study of knowledge acquisition program ※


Chinese Abstract: Data mining has become an important source of knowledge. With the depth information,abercrombie fitch paris, business data mining has been a greater demand, but poor data quality often leads to the conclusion of data mining credibility is low,abercrombie france, thus affecting the data mining applications. In this paper,christian louboutin pas cher, extenics methods, systems analysis generated by dirty data, and proposes a method of discipline-based chain of data cleansing solutions. Data mining data quality means that the gap back to software design, implementation, maintenance and other upstream sources made from part of a systematic approach to solve the problem and propose data mining consulting prompted by data quality improvement measures, thereby reducing the data cleaning workload,mbt chaussures paris, so that data quality is not high, companies can implement data mining projects to obtain the necessary knowledge to support decision making.

Data quality; data mining; knowledge management; extenics; data mining consulting; enterprise information
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