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  1. Clickstream Data - an overview | ScienceDirect Topics

    Nov 19, 2008 · 5.5.4 Clickstream data Most vendor solutions provide a rich set of clickstream data. Clickstream data are a detailed log of how participants navigate through the Web site …

  2. Clickstream Analysis - an overview | ScienceDirect Topics

    May 6, 2017 · Clickstream analysis can produce such interesting results as: • The average path. This is an analysis of a “typical” path through the site. Of course, what is considered to be …

  3. A Clickstream Data Analysis of the Differences between Visiting ...

    Dec 1, 2018 · A clickstream is the sequence of a series of clicks that record the user's interaction with the website or the app. Due to its unobtrusiveness and inexpensiveness (Jansen, 2009), …

  4. Click Here for Internet Insight: Advances in Clickstream Data …

    Feb 1, 2009 · Clickstream data are defined as the electronic record of Internet usage collected by Web servers or third-party services. The authors discuss the nature of clickstream data, noting …

  5. Validation of the information processing theory of consumer …

    This paper aims to demonstrate how consumer clickstream data from a leading hotel search engine can be used to validate two hidden information processing stages – first eliminate …

  6. Predicting online shopping behaviour from clickstream data using …

    Jul 15, 2020 · Clickstream data is an important source to enhance user experience and pursue business objectives in e-commerce. The paper uses clickstream data to pr…

  7. Predicting online customer purchase: The integration of customer ...

    Feb 1, 2024 · This stream of research unravels how clickstream data, specifically encompassing the number of clicks and duration of browsing behavior, can predict customer behaviors [17,43].

  8. Patterns of eHealth Website User Engagement Based on Cross-site ...

    Clickstream data provide a new way to derive an overview of user engagement patterns on eHealth websites and investigate the influence that various factors (eg, platform, channel, sex, …

  9. ANN-LSTM: A deep learning model for early student performance ...

    Apr 1, 2023 · Also, clickstream data can be combined with demographic and course data and get promising results in studying student performance [16]. The aforementioned gaps motivated …

  10. An efficient parallel algorithm for mining weighted clickstream ...

    Jan 1, 2022 · Clickstream pattern mining (CPM) is a specialized problem derived from SPM that has attracted the attention of many researchers recently because there is a need for analyzing …