Liu has written a comprehensive text on Web mining, which consists of two parts. The first
part covers the data mining and machine learning foundations, where all the essential …

The automatic extraction of information from unstructured sources has opened up new
avenues for querying, organizing, and analyzing data by drawing upon the clean semantics …

The rapid growth of the Web in the past two decades has made it the largest publicly
accessible data source in the world. Web mining aims to discover useful information or …

This paper studies the problem of extracting data from a Web page that contains several
structured data records. The objective is to segment these data records, extract data …

One of the costs of reusing software components is updating applications to use the new
version of the components. Updating an application can be error-prone, tedious, and …

Visual text analytics has recently emerged as one of the most prominent topics in both
academic research and the commercial world. To provide an overview of the relevant …

Statistics from security firms, research institutions and government organizations show that
the number of data-leak instances have grown rapidly in recent years. Among various data …

The Web is a dynamic, ever changing collection of information. This paper explores changes
in Web content by analyzing a crawl of 55,000 Web pages, selected to represent different …

With the phenomenal growth of the Web, there is an everincreasing volume of data and
information published in numerous Web pages. The research in Web mining aims to …

Web pages-especially dynamically generated ones-contain several items that cannot be
classified as the" primary content," eg, navigation sidebars, advertisements, copyright …