{'fraction_non_alphanumeric': 0.01818181818181818, 'fraction_numerical': 0.011570247933884297, 'mean_word_length': 5.586956521739131, '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}}
Data Mining and Visualization of Forest Cover Type Data Using SAS Enterprise Miner

This paper illustrates the use of data mining and data visualization techniques to mine multidimensional database for the selected data of forest cover type consisting of 63,377 records each with 54 attributes. Using SAS® Enterprise Miner, The paper performs analysis of such data mining functionalities as decision tree, regression analysis, neural network, clustering analysis, and association analysis. The results are useful for intelligent and effective decision making. Some screen shots and analysis are presented.