Predictive Analysis and Warehousing of Web Log Data

Web Log Data Warehousing and Mining forIntelligent Web

Chapter.i, " Combining Data Warehousing and Data Mining Techniques for Web Log Analysis "

In enterprises, a large volume of data has been collected and stored in data warehouses. Advances in data gathering, storage, and distribution have created a need for integrating data warehousing and data mining techniques. Mining data warehouses raises unique issues and requires special attention. Data warehousing and data mining are interrelated , and require holistic techniques from the two ...

I Combining . Data . Warehousing . and . Data . Mining . Techniques . for . Web . Log . Analysis

Enormous amounts of information about Web site user behavior are collected in Web server logs. However, this information is only useful if it can be queried and analyzed to provide high-level knowledge about user navigation patterns, a task that requires powerful techniques.This chapter presents a number of approaches that combine data warehousing and data mining techniques in order to analyze ...

Warehousing Web Data

In a data warehousing process, mastering the data preparation phase allows substantial gains in terms of time and performance when performing multidimensional analysis or using data mining algorithms. Furthermore, a data warehouse can require external data. The web is a prevalent data source in this context. In this paper, we propose a modeling process for integrating diverse and heterogeneous ...

Web-Log Mining for Predictive Web Caching

Caching is a well-known strategy for improving the performance of Web-based systems. The heart of a caching system is its page replacement policy, which selects the pages to be replaced in a cache when a request arrives. In this paper, we present a Web-log mining method for caching Web objects and use this algorithm to enhance the performance of Web caching systems. In our approach, we develop ...