Web mining is a computation intensive task even after the mining tool itself has been developed. However, most mining software is developed ad-hoc and usually is not scalable nor reused for other mining tasks. This paper presents a Web mining model and implementation, referred to as WIM – Web Information Mining –, where rapid prototyping is possible. The underlying conceptual model of WIM provi...

World Wide Web has changing into one amongst the foremost comprehensive data resources. It most likely, if not perpetually, covers the data requirement for any user. However the net demonstrates several radical variations to traditional information containers such as databases in schema, volume, topic coherence etc. Web mining techniques could be applied to fully use web information in an effec...

Web Data Mining is an important area of Data Mining which deals with the extraction of interesting knowledge from the World Wide Web. It defines the application of data mining techniques to extract knowledge from web data, including web documents, hyperlinks between documents, usage logs of web sites, etc. Therefore, the process of extracting useful information from the contents of web document...

Data mining is the process of mining information from the large set of data. It further has many categories like text mining web usage mining and web content mining. There are many types of algorithm which are used in web mining i.e. Visitor method, Dom tree and least recent used algorithm. Visitor and Dom tree is the complex and time consuming method. Least Recent Used algorithm is less time c...

Web structure mining has been a well-researched area during recent years. However, we observed that data on the web is changing at any time in any way, even though there are some incremental data mining algorithms that are proposed to update the mining results with the corresponding changes, none of the existing web structure mining techniques is able to extract useful and hidden knowledge from...

Web mining techniques have been frequently used to obtain meaningful information from the web based data. The aim of this paper is how web mining implemented to improve the hotel customer services by analyzing web-based hotel customer data. The complete work has been done by using PolyAnalyst web data mining tool. This paper demonstrates the use of web mining techniques in hotel industry.

The World Wide Web has impacted on almost ever aspects of our lives in modern era. The Web has many unique characteristics and which make mining useful information and knowledge a challenging task. Web mining uses many data mining techniques but it is not an application of traditional data mining due to heterogeneity and unstructured nature of the data on Web. Web mining tasks can be categorize...