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Saste et al., 2017 - Google Patents

Predicting demographic attributes from web usage: Purpose and methodologies

Saste et al., 2017

Document ID
13047462292666463589
Author
Saste A
Bedekar M
Kosamkar P
Publication year
Publication venue
2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC)

External Links

Snippet

Web usage mining is a way of identifying and analyzing how users interact with a web site. This browsing data collected as web log, which is first preprocessed and then number of data mining methods such as classification, clustering and association rule mining etc …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
    • G—PHYSICS
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    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce, e.g. shopping or e-commerce
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
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    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
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    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run

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