Abstract
Web usage mining is defined as the application of data mining techniques to extract interesting usage patterns from Web data. Web data provides the information about Web user’s behavior. Pre-processing of Web data is an essential process in Web usage mining. This is used to convert the raw data into processed data which is necessary for Web mining task. In this research paper, author proposed the effective Pre-processing methodology which involves field extraction, significant attributes selection, data selection, and data cleaning. The efficient proposed methodology improves the quality of Web data by managing missing values, noise, inconsistency, and incompleteness which is usually found attached with data. Moreover, obtained results of pre-processing will be further used in frequent pattern discovery.
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Kaur, J., Garg, K. (2019). Efficient Management of Web Data by Applying Web Mining Pre-processing Methodologies. In: Hoda, M., Chauhan, N., Quadri, S., Srivastava, P. (eds) Software Engineering. Advances in Intelligent Systems and Computing, vol 731. Springer, Singapore. https://doi.org/10.1007/978-981-10-8848-3_11
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DOI: https://doi.org/10.1007/978-981-10-8848-3_11
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