In the time of data blast and the ascent of the Web, the dramatic development of information and the data needs of small- and medium-sized endeavors affect the customary expense of the executives. Instructions to all the more likely mine viable data in information to give effective ways and technique merits considering. As the center innovation of handling enormous information, information mining can deal with a lot of mind-boggling information effectively. Accordingly, this paper talks about the cycle and technique for applying information mining at the expense of the executives of small- and medium-sized endeavors, to work on the seriousness of small- and medium-sized undertakings. This examination depends on the exploration and examination of the monetary information of small- and medium-sized ventures, joined with information mining innovation, extricates and uses the immense monetary information produced in the day-to-day administration cycle of the monetary division of the small- and medium-sized undertakings, plans and executes an information mining-based monetary information examination of small- and medium-sized endeavors framework. Joined with programming plan thoughts, through fundamental interest exploration and examination and many benefits of the ongoing B/S design, it was chosen to utilize the Java programming language, MyEclipse11 programming apparatus, Microsoft SQL Server 2008 data set administration instrument, J2EE advancement stage, and the exemplary Apriori in information mining. Mining techniques, for example, affiliation rules, bunching calculations, and choice tree calculations, have completely dissected the monetary information of small- and medium-sized undertakings, naturally and dependably give monetary administration branches of small- and medium-sized endeavors and ranking directors of small- and medium-sized ventures with helpful monetary data, and can help small- and medium-sized endeavors. Business pioneers pursue speedy choices. The planned and executed monetary examination framework in light of information mining incorporates the fundamental elements of SME monetary administration, resource stock administration, resource designation of the board, resource deterioration and discount, resource information upkeep of the executives, and so on. Small- and medium-sized undertakings’ monetary administration framework is a mix of information mining innovation, programming innovation, and small- and medium-sized monetary administration. The effective, solid, and helpful way has further developed the center seriousness of small- and medium-sized undertakings partially and accomplished a definitive objective of the framework plan.
This study adheres to the principle of combining empirical analysis and normative analysis and establishes an analytical framework according to the research ideas from theoretical analysis to empirical analysis to countermeasures. Suggestions for high-quality economic growth in my country and paths for promoting coordinated regional development were made. This study will take the data from 1993 to 2020 as a unit, taking into account factors such as education, consumption, investment, and labor costs and using SAR model, SEM model, and spatial panel data model to measure the degree of economic complexity in my country. For the research on the difference of regional economic growth in my country, this study is refined to the county level to measure the degree of regional economic development and compare and analyze the regional development differences, and we strive to use empirical evidence to scientifically analyze the degree of economic complexity and regional development differences, using the spatial panel model, SAR model, and SEM model to comprehensively consider the impact of my country’s economic complexity on regional economic growth differences; finally, combined with theoretical analysis and empirical test results, based on the perspective of economic complexity, coordinated development provides countermeasures and provides corresponding suggestions for the high-quality development of my country’s economy, the continuous optimization of industrial structure, and the establishment of regional cooperation mechanisms.
With the continuous development of the economy and the continuous improvement of information network technology, the information age brings not only the innovation of social lifestyle but also the innovation of enterprise development management mode and management concept. It is more likely to cause financial information leakage and human risk out of control in the big data environment. Faced with these risks, it is necessary to actively explore ways of risk control and create a good early warning and monitoring mechanism. It aims to study the principle and data processing mechanism of the company’s financial early warning monitoring, and the establishment and analysis of the early-warning monitoring model in the big data environment. Help managers find and put forward early warning signals when the company has just had a financial crisis, and remind the company to take countermeasures.
With the continuous development of science and technology, we have completely entered the information age. The amount of data around us increases linearly, and everyone lives in a pile of data. Enterprises also need to use big data technology in the process of operation and management to mine data and realize various data management functions. For the current enterprise, the operation of data will not only affect the management cost of the enterprise but also affect the future development of the enterprise. Based on the problem of enterprise management cost, this paper proposes to effectively use big data technology to solve the problem of enterprise cost management. The article also uses big data technology to optimize the management cost of the enterprise and uses big data technology to innovate and apply the management method of the enterprise. This paper constructs a cost management model based on data mining and expounds on the objects, sources, and calculation methods of data mining. Under this model, the company’s data was mined, a specific plan was proposed, and an improved association algorithm was proposed to test the completion and consolidation of tasks. In the case of a large number of tasks, in order to efficiently realize the selection and merging of data, this paper proposes a new cost forecasting scheme based on a fuzzy model. Use time series for cost forecasting, and the accuracy is relatively high. In the process of forecasting, our forecasting method is suitable for the human reasoning process and can have better adaptability. Finally, we applied the research results of the thesis to actual business management to meet the management needs of the business, thus verifying the feasibility of the method proposed in this article.
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