Matches in SemOpenAlex for { <https://semopenalex.org/work/W4317384077> ?p ?o ?g. }
Showing items 1 to 72 of
72
with 100 items per page.
- W4317384077 abstract "Data mining technology (DMT) is an innovative technology based on data, which brings opportunities and challenges to all walks of life. Under this background, how to solve the problems of the existing financial analysis (FA) system through DMT, and how to find valuable financial information from the data and feed it back to the enterprise decision-makers. These are all problems worth studying. As an important part of the company’s work, FA has been influenced by DMT innovations that provide effective solutions to problems that are difficult to solve with traditional FA processes, such as intelligent FA, optimising the quality of the company’s financial statements and preventing potential financial risks to the company. The main purpose of this paper is to design and research the financial indicator analysis system based on DM algorithm. In this paper, the presentation of enterprise financial data is mainly divided into two dimensions: one is the presentation of basic data; The second is the dimension of FA. Through the horizontal and vertical comparative analysis of financial capabilities, the financial problems of enterprises are found. Through experimental research, it is found that the application of DM FA platform improves the efficiency of enterprise management decision-making and saves costs for enterprises." @default.
- W4317384077 created "2023-01-19" @default.
- W4317384077 creator A5091242731 @default.
- W4317384077 date "2022-12-11" @default.
- W4317384077 modified "2023-09-23" @default.
- W4317384077 title "Financial Indicator System Based on Data Mining Algorithm" @default.
- W4317384077 cites W3197543735 @default.
- W4317384077 cites W3204953072 @default.
- W4317384077 cites W3207177959 @default.
- W4317384077 cites W3210735849 @default.
- W4317384077 cites W3215622769 @default.
- W4317384077 cites W4200111285 @default.
- W4317384077 cites W4200164423 @default.
- W4317384077 cites W4200457601 @default.
- W4317384077 cites W4212984067 @default.
- W4317384077 cites W4221073363 @default.
- W4317384077 cites W4221074292 @default.
- W4317384077 cites W4223493796 @default.
- W4317384077 cites W4223960441 @default.
- W4317384077 cites W4226079018 @default.
- W4317384077 doi "https://doi.org/10.1109/tocs56154.2022.10016014" @default.
- W4317384077 hasPublicationYear "2022" @default.
- W4317384077 type Work @default.
- W4317384077 citedByCount "0" @default.
- W4317384077 crossrefType "proceedings-article" @default.
- W4317384077 hasAuthorship W4317384077A5091242731 @default.
- W4317384077 hasConcept C10138342 @default.
- W4317384077 hasConcept C11413529 @default.
- W4317384077 hasConcept C126838900 @default.
- W4317384077 hasConcept C127413603 @default.
- W4317384077 hasConcept C130731218 @default.
- W4317384077 hasConcept C144133560 @default.
- W4317384077 hasConcept C18762648 @default.
- W4317384077 hasConcept C202444582 @default.
- W4317384077 hasConcept C2777601897 @default.
- W4317384077 hasConcept C33676613 @default.
- W4317384077 hasConcept C33923547 @default.
- W4317384077 hasConcept C41008148 @default.
- W4317384077 hasConcept C506796395 @default.
- W4317384077 hasConcept C71924100 @default.
- W4317384077 hasConcept C78519656 @default.
- W4317384077 hasConceptScore W4317384077C10138342 @default.
- W4317384077 hasConceptScore W4317384077C11413529 @default.
- W4317384077 hasConceptScore W4317384077C126838900 @default.
- W4317384077 hasConceptScore W4317384077C127413603 @default.
- W4317384077 hasConceptScore W4317384077C130731218 @default.
- W4317384077 hasConceptScore W4317384077C144133560 @default.
- W4317384077 hasConceptScore W4317384077C18762648 @default.
- W4317384077 hasConceptScore W4317384077C202444582 @default.
- W4317384077 hasConceptScore W4317384077C2777601897 @default.
- W4317384077 hasConceptScore W4317384077C33676613 @default.
- W4317384077 hasConceptScore W4317384077C33923547 @default.
- W4317384077 hasConceptScore W4317384077C41008148 @default.
- W4317384077 hasConceptScore W4317384077C506796395 @default.
- W4317384077 hasConceptScore W4317384077C71924100 @default.
- W4317384077 hasConceptScore W4317384077C78519656 @default.
- W4317384077 hasLocation W43173840771 @default.
- W4317384077 hasOpenAccess W4317384077 @default.
- W4317384077 hasPrimaryLocation W43173840771 @default.
- W4317384077 hasRelatedWork W1995131066 @default.
- W4317384077 hasRelatedWork W2350875167 @default.
- W4317384077 hasRelatedWork W2392068069 @default.
- W4317384077 hasRelatedWork W2899169687 @default.
- W4317384077 hasRelatedWork W2971666550 @default.
- W4317384077 hasRelatedWork W4294767490 @default.
- W4317384077 hasRelatedWork W4308119358 @default.
- W4317384077 hasRelatedWork W4308132601 @default.
- W4317384077 hasRelatedWork W4313813571 @default.
- W4317384077 hasRelatedWork W2185881423 @default.
- W4317384077 isParatext "false" @default.
- W4317384077 isRetracted "false" @default.
- W4317384077 workType "article" @default.