{'fraction_non_alphanumeric': 0.030612244897959183, 'fraction_numerical': 0.012244897959183673, 'mean_word_length': 4.776470588235294, '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}}
Identification of MPEG-4 FDP Patterns in Human Faces using Data-Mining Techniques

In this paper we try to induce rules that describe patterns in human faces. We apply two different data-mining algorithms, C4.5 and C5.0, in a database of faces parameters in the MPEG4 FDP (Face Definition Parameters) form. Also we modify the database in two different ways before applying the algorithms: variable discretization of some fields; and selection of the main clusters with Self-Organizing Maps.