{'fraction_non_alphanumeric': 0.015184381778741865, 'fraction_numerical': 0.0032537960954446853, 'mean_word_length': 5.236486486486487, '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}}
Design and research of archives management system based on Data Mining Technology

In order to enrich the functions of the archives management system, data mining technology is selected as the research tool, and the user service function and text type division function are taken as the key design contents. A new research on the design of archives management system is proposed. Among them, the development of user service function takes the user's personal information and access footprint as the basis, and uses data mining technology to extract highly relevant information as recommendation information. Text type division takes preprocessing, word segmentation and de stop words as the processing core to divide text types in detail. The system test results show that the accuracy of text type classification is 100%, the operation efficiency is significantly improved, and it has great advantages in user experience.