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...

Parallel corpus is a rich linguistic resource for various multilingual text management tasks, including crosslingual text retrieval, multilingual computational linguistics and multilingual text mining. Constructing a parallel corpus requires effective alignment of parallel documents. In this paper, we develop a parallel page identification system for identifying and aligning parallel documents ...

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...

Subsequence search and distance measures are crucial tools in time series data mining. This paper presents our Python package entitled TSSEARCH, which provides a comprehensive set of methods for subsequence similarity measurement series. These user-customizable more flexibility efficient integration into real deployment scenarios. TSSEARCH enables fast exploratory analysis was validated the con...

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...

With the increment of users and information on the Web, mining processes inspired in the traditional data mining ones have been developed. This new recent area of investigation is called Web Mining. Within this area, we study the analysis of web log files in what is called Web Usage Mining. Different techniques of mining to discover usage patterns from web data can be applied in Web Usage Minin...