{'fraction_non_alphanumeric': 0.014347202295552367, 'fraction_numerical': 0.0, 'mean_word_length': 5.232142857142857, '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}}
An Association Rule Mining Algorithm for Gas Monitoring Database

A new association rule mining algorithm is studied, which is based on gas monitoring database. In order to calculate itemsets support, this paper puts forward the concept of database characteristic matrix and characteristic vector, and leads to algorithm for mining association rules based on the characteristic matrix. This algorithm needs to traverse the database one time only, and the database operation has been reduced. Based on the characteristic vector inner product to get an Item set support, the efficiency of the algorithm has been improved. It improves the efficiency of association rules mining in mass gas databases.