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A Practical Approach to Data Mining: I Have All These Data; Now What Should I Do?

机译:一种实用的数据挖掘方法:我拥有所有这些数据;现在该怎么办?

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摘要

Information technology increases our ability to use data to develop and improve processes. Professionals are being asked to make sense out of large volumes of data. Today's literature provides little guidance on how to approach such problems. Addressing this void, this article places a keen focus on the pedigree of the data: process that generated the data, measurement, and data collection process including sampling schemes used. The importance of using subject matter knowledge and recognition of the sequential nature of problem solving is also emphasized. A guiding framework for the execution of data-rich projects is presented and illustrated with case studies.
机译:信息技术提高了我们使用数据开发和改进流程的能力。专业人员被要求从大量数据中了解。当今的文献很少提供有关如何解决此类问题的指导。针对这一空白,本文将重点放在数据的谱系上:生成数据的过程,测量和数据收集过程,包括所使用的采样方案。还强调了使用主题知识和识别问题解决的顺序性质的重要性。通过案例研究介绍并说明了执行数据丰富的项目的指导框架。

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