{'fraction_non_alphanumeric': 0.01583949313621964, 'fraction_numerical': 0.0, 'mean_word_length': 5.196078431372549, '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}}
Research Frontiers in Sequential Pattern Mining

. The area of sequential pattern mining is progressing rapidly day by day. The aim of sequential pattern mining is to extract subsequences satisfying a threshold parameter value. Researchers are addressing the challenges and problems occurring in various domains of sequential pattern mining(SPM) by deﬁning new constraints, algorithms to increase the quality of patterns. This paper presents an organized study on the research in the varied domains of sequential pattern mining such as Traditional SPM, Time-interval SPM, High Utility SPM and High Utility Hierarchical SPM. The ﬁelds are classiﬁed on the basis of support, time or utility as the threshold parameter. A taxonomy of the popular algorithms in these diversiﬁed ﬁelds of sequential pattern mining is also presented. The paper aims to act as a valuable guide for researchers by suggesting future potentials in sequential pattern mining.