Web Usage Pattern Discovery Using Time Stamp Association Rules

Abstract: Association rules are typically used to describe what items are frequently bought together. One could also use them in web usage mining to describe the pages that are often visited together .The goal of web usage mining is to extract useful knowledge from the data that web servers store about the behaviour of the customers. In this paper, we introduce an extension to association rules by the introduction of time stamp that can give us a better insight into the data. Subsequently, the introduced concepts are used in an experiment to pre-process log files for web usage mining. We also describe how the method could be useful for market basket analysis and give an overview of related research. The paper is concluded by some suggestions for future research

Búsqueda de patrones en el comportamiento de los visitantes de la plataforma “Oferto” de la cámara de comercio de Armenia y del Quindío, a través de la aplicación de minería web

En la actualidad las organizaciones cuentan con información generada cada vez más rápido y de manera exponencial por el uso de las páginas web por parte de los usuarios. Dicha generación de información se debe a la publicación de sus productos y/o servicios en sus sitios web y la interacción de los usuarios con los mismos, es por esto que se vuelve necesario el análisis de dicha información con el objetivo de ser competitivo y obtener utilidades, usando como medio el mundo digital. Tal como afirma Baeza-Yates (2005) “la información de la web es finita pero el número de páginas web es infinito”, a partir de esta premisa es claro que se cuenta con información valiosa para la gestión de la Organización. Sin embargo, para que esta información pueda tener un impacto adecuado se debe realizar un proceso con las técnicas apropiadas, ya que la mayoría de veces la información importante no se encuentra a simple vista y si no es utilizada y explotada de la forma correcta o simplemente no se hacen las búsquedas adecuadas dentro de la misma, termina por convertirse en datos sin valor.Today, organizations have information generated faster and faster and exponentially by the use of web pages by users. This generation of information is due to the publication of their products and / or services on their websites and the interaction of users with them, which is why the analysis of said information is necessary in order to be competitive and obtain utilities, using the digital world as a medium. As stated by Baeza-Yates (2005) "the information on the web is finite but the number of web pages is infinite", from this premise it is clear that there is valuable information for the management of the Organization. However, for this information to have an adequate impact, a process must be carried out with the appropriate techniques, since most of the time the important information is not found with the naked eye and if it is not used and exploited in the correct way or simply the proper searches are not made within it, it ends up becoming worthless data

The use of XML schema and XSLT rules for product information personalization

This thesis describes research carried out in order to help solve the problem of personalization in e-commerce/CRM system. Web-based personalization consists of activities, such as providing customised information, that tailor the user's Web experience- browsing a Web site or purchasing a product, for example-to that user's particular needs. The main research objective of the project is to investigate how XSLT technologies can be used for the development of matching engines that find XML represented products that match the tastes, needs or requirements of customers as captured in customer profiles, also represented in XML. More specifically our research investigates into novel algorithms for transforming XML based product specifications using rules that derive from mining customer profiles with the purpose of customizing the product information