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来源:百度知道 编辑:UC知道 时间:2024/05/16 14:15:51
数据挖掘技术是人们长期对数据库技术进行研究和开发的结果。起初各种商业数据是存储在计算机的数据库中的,然后发展到可对数据库进行查询和访问,进而发展到对数据库的即时遍历。数据挖掘使数据库技术进入了一个更高级的阶段,它不仅能对过去的数据进行查询和遍历,并且能够找出过去数据之间的潜在联系,从而促进信息的传递。
数据挖掘工具能够对将来的趋势和行为进行预测,从而很好地支持人们的决。数据挖掘工具对市场需求的理解和预测能够有效的管理销售和生产活动。预测是使用过去销售需求量预报未来销售需求量的过程。实施预测系统能够迅速评估当前市场的趋势和销售,从而为企业制定生产计划提供科学的决策。这样对企业生产实现了科学化的管理,最大限度的降低库存,避免企业盲目生产,给企业带来不错的经济效益。
本文介绍了数据挖掘的理论和简单的方法,阐述了数据预测中线形回归的算法。在此理论基础上,实现了对五丰公司销售额的预测,为企业提供决策依据。

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Data mining technology is the right long-database technology research and development results. Initially all business data is stored in a computer database. Then, to be the database inquiries and interviews, leading to the development of the database immediately traverse. Database data mining technology into a more advanced stage, It can not only of past inquiries and data traversal, and past data to identify potential links between, thereby promoting the transmission of messages. Data mining tools to the future trends and predict behavior, good support for the people's decision. Data mining tools in the market demand to understand and forecast sales of effective management and production activities. Forecast demand for the use of past sales forecast future sales demand process. Prediction System to implement rapid assessment of the current market trends and sales, so as to formulate a production plan for scientific decision making. Such enterprises to realize the scientific man