A data warehousing and data mining framework for web usage management

A Data Warehousing and Data Mining Framework for Web Usage Management∗

A new challenge in Web usage analysis is how to manage and discover informative patterns from various types of Web data stored in structured or unstructured databases for system monitoring and decision making. In this paper, a novel integrated data warehousing and data mining framework for Website management and patterns discovery is introduced to analyze Web user behavior. The merit of the fra...

Web Log Data Warehousing and Mining forIntelligent Web

Data Warehousing for Association Mining

IntroductIon With the phenomenal growth of electronic data and information, there are many demands for developments of efficient and effective systems (tools) to address the issue of performing data mining tasks on data warehouses or multidimensional databases. Association rules describe associations between itemsets (i.e., sets of data items) (or granules). Association mining (or called associ...

Web Usage Mining Framework

We present a tool that alleviates the tedious work of data pre-processing and data structuring to support scientific research on web usage mining (WUM). Furthermore, the framework contains web usage mining models as well as methods for basic statistics on the structured data. The contribution of the tool is a tree-like visualization of frequent navigational sequences. This visualization allows ...

Data Transformation for Warehousing Web Data

In order to analyze market trends and make reasonable business plans, a company’s local data is not sufficient. Decision making must also be based on information from suppliers, partners and competitors. This external data can be obtained from the Web in many cases, but must be integrated with the company’s own data, for example, in a data warehouse. To this end, Web data has to be mapped to th...