This paper studies the application of customer relationship management based on data mining. Through the use of data mining technology to mine all aspects of customer relationship management, scientifically and orderly manage customer relationships, help companies reduce and avoid risks, and improve company profits. This article takes the mall customer relationship management system as an example, uses the SPRINT classification algorithm to classify customers, improves the accuracy of customer classification, and makes the mall's related decisions more credible. The best customer retention strategy algorithm is used in customer retention to help the shopping center make decisions, so as better to retain customers and maximize the profit of the shopping center.

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The technology is growing faster in day to day life, and this technology is going to play a vital role in the lives of a human being. Almost all the people will use the gas-related items in their homes like the kitchen and other usages. The leaks for such gas leakages are a common problem, and due to this leakage, the severe health issues and other life death issues also can take place. Hence, the identification of such gas leakages is essential at the right interval of times. Having the learning essential to have the capacity to counteract and recognize a gas release right off the bat is critical with the end goal to avert potential gaseous petrol crises. Understanding what a flammable gas spill crisis is and how to respond is imperative to guarantee you and your family's security. In this paper, talking about what a gas spill crisis is and what to do if one happens, yet going to give you a wide-assortment of location and anticipation tips. Having this necessary information will limit you and your family's dangers for gas spills crises.