Abstract
With the rapid development of China’s economy in recent years, the prevention and control of groundwater pollution has become increasingly acute. With the increasingly serious environmental problems of groundwater, it is of great significance to study groundwater. In order to correctly understand the groundwater environmental quality in a certain area and make the groundwater pollution monitoring more targeted, it is urgent to optimize the existing monitoring indicators. By analyzing the direct and indirect effects of features on anomaly detection, this paper designs redundant feature deletion mechanism and feature importance evaluation mechanism, and proposes a mixer mode feature selection algorithm to select groundwater pollution features quickly and accurately. Then, the method of anomaly detection is improved by using the feature selection algorithm, and an anomaly detection technology based on groundwater feature selection is proposed to improve the detection accuracy of all kinds of abnormal data. With the improvement of the living standards of Chinese residents, the demand for sports fitness services is also growing, and the sports fitness consulting service industry supported by the state is also expanding to other fields, which also provides a market for sports fitness consulting services. This paper mainly analyzes and studies China’s sports fitness consulting market by using the methods of literature data, questionnaire survey, expert interview, and case study. Using the relevant knowledge of marketing, based on STP theory, this paper puts forward corresponding strategies from the aspects of product marketing, price marketing, marketing channels, and marketing promotion. Based on abnormal data processing, this paper studies the characteristics of urban groundwater pollution and sports health market.
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