{'fraction_non_alphanumeric': 0.013474494706448507, 'fraction_numerical': 0.0, 'mean_word_length': 5.933333333333334, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Application of Data Mining Technology in Optimal Configuration of Enterprise Resource

The efficiency of a business is determined by the resources it has and how those resources are allocated, which has an impact on enterprise performance. Therefore, there is a complex relationship between resource allocation and performance. Therefore, it is particularly important to study the resource allocation of innovative enterprises under multi-project management and the relationship between resource allocation and enterprise efficiency. Data mining technology can seek the best in the complex enterprise resource allocation and achieve the optimal allocation of resources. This paper adopts the data mining technology based on multi-sensing neural network and genetic algorithm to study the resource allocation optimization method of multi-project management of innovative enterprises. Through analysis, demonstration and simulation, it provides a certain reference for the resource allocation of innovative enterprises in project management.