Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 13 of 13 for “"Clickstream data"”.
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Web clickstream data analysis using a dimensional data warehouse
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2001.
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An analysis of different data base structures and management systems on Clickstream data collected for advocacy based marketing strategies experiments for Intel and GM
… is the next big field in marketing research. Clickstream data is a great contribution to analyze the effects of advocacy based marketing strategies. Handling Clickstream data becomes a big issue. This paper will look at the problems caused by Clickstream data from a database perspective and …
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Advancing Learning Analytics: Detect and Predict Confusion in Learners Through AI
… and negative learning experiences. Using clickstream data from online platforms, this study develops predictive models with AI, specifically focusing on confusion in online learning. The methodology integrates clustering, time series analysis, and advanced AI algorithms, including …
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High fidelity website research : using a browser extension to provide a natural environment
… the effectiveness is through the analysis of clickstream data. However, this data may be difficult to obtain and does not measure behavioral change. Behavioral change is a change in consideration or preference. Surrogate sites can be used to study behavioral change but are difficult and …
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Essays On Dynamic Updating Of Consumer Preferences
… particularly in online media. Using three unique datasets from different domains, we address specific ways in which firms can use rich information about their customers' behaviors to improve (1) the visual display of products on a webpage in online shopping, (2) predictions of new product adoption …
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Analyzing Student Session Data in an eTextbook
… and eTextbooks, they generate massive amounts of data. For example, the OpenDSA eTextbook system collects clickstream data as users interact with prose, visualizations, and interactive auto-graded exercises. Ideally, instructors and system developers can harness this information to create better …
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Choice modeling with observed and unobserved information search
… on the context of the choice situation and data collection, while information processing is a mental process that is by nature latent to the modelers. First part of the thesis considers the specific case of information search under the context of smart mobility services. Leveraged on …
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Three essays in operations management
… in Zambia. We present consistent empirical data and simulation results showing that, because of its failure to properly anticipate seasonal variations in demand and supply lead-times, this system leads to predictable patient-level stock-outs even when there is ample inventory available in …
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Scalable Models and Policy Learning for Online Marketplaces
… theme across all chapters is the development of data-driven practical solutions that help improve business operations and customer experiences in e-commerce. The first chapter offers a new perspective on creating promotional bundles in cross-category retail. A scalable approach is designed that …
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Bolstering independent learning in the online age: concept-centric approaches to improving content accessibility
… using back-of-the-book indexes as training data, 2) We propose and study a new algorithm to automatically construct a Browsable Concept Index using lecture transcript data from online courses, 3) We study how to effectively scaffold independent learning by Modeling Difficult Concepts using …
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Essays on Model Selection Uncertainty and Model Averaging: Computational and Empirical Work with Beta Regression, Multiple Linear Regression with ARMA Innovations, and the Minimum Description Length Principle
… selection consistency and variable importance in clickstream data. In Chapter 3, model averaging to improve model qualityin the context of time series data was investigated. Serial dependence in the data demanded that the bootstrap-based procedure from Chapter 2 be modified to use subsampling as …
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Three Essays on Analyzing and Managing Online Consumer Behavior
… of marketing channels, and an unknown wealth of data. This dissertation addresses these issues in three individual essays. Study 1 focuses on business models offering services for free, which have become increasingly prevalent in the online sector. Offering services for free raises new questions …
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Sifting customers from the clickstream : behavior pattern discovery in a virtual shopping environment
… before customers have visited a web site, using data such as purchase histories and logs of web pages visited. Better understanding of customer cognition and behavior as a function of various factors is needed in order to enable the right information to be presented at the right time. One …