Searching for authors named "Carlos Rojas" – sorted by Relevance.
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From Static to Dynamic Web Usage Mining: Towards Scalable Profiling and Personalization with Evolutionary Computation
- preferences and interests. Personalization deals with tailoring a user's interaction with the Web information space based on information about him/her. Mass profiling is based on general trends of usage patterns (thus protecting privacy) compiled from all users on a site, and can be achieved by mi
- Cited by 2 (0 self) – Add To MetaCart
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Mining Evolving User Profiles in Noisy Web Clickstream Data with a Scalable Immune System Clustering Algorithm
- Web usage mining has recently attracted attention as a viable framework for extracting useful access pattern information, such as user profiles, from massive amounts of Web log data for the purpose of Web site personalization and organization. These efforts have relied mainly on clustering or associ
- Cited by 11 (4 self) – Add To MetaCart
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Mining Evolving Web Clickstreams with Explicit Retrieval Similarity Measures
- Data on the Web is noisy, huge, and dynamic. This poses enormous challenges to most data mining techniques that try to extract patterns from this data. While scalable data mining methods are expected to cope with the size challenge, coping with evolving trends in noisy data in a continuous fashion,
- Cited by 2 (1 self) – Add To MetaCart
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A Scalable Artificial Immune System Model for Dynamic Unsupervised Learning
- Artificial Immune System (AIS) models offer a promising approach to data analysis and pattern recognition. However, in order to achieve a desired learning capability (for example detecting all clusters in a dat set), current models require the storage and manipulation of a large network of B Cell
- Cited by 4 (1 self) – Add To MetaCart

