{'fraction_non_alphanumeric': 0.011945392491467578, 'fraction_numerical': 0.0, 'mean_word_length': 4.924242424242424, '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}}
Comparative Study of Data Mining Tools and Analysis with Unified Data Mining Theory

Today almost everyone has access to huge amount of data. Several wide spread organizations have their own large data repositories, data warehouses, which are still expanding with queries over data and the need for extraction of most beneficial data pattern and refined knowledge. This necessity is followed by the requirement of an apt data mining tool to help with decision making and query pre-processing. However, in this paper, a study will be presented of analysis of the selected tools to deal with the selection of the most apt tool for mining suitable for a particular data type. This research provides with the complete analysis of a tool regarding the features and functionalities offered by them. The tools are compared based on their specification and techniques and algorithms used in these tools along with the features it provides. This paper also introduces the Unification theory, one of the major issues with data mining and presents methodologies which can be used for formulation of this theory. At the end the shortcomings with these methodologies is also discussed.