Text mining in big data analytics is emerging as a powerful tool for harnessing the power of
unstructured textual data by analyzing it to extract new knowledge and to identify significant …

Semantic Web Mining aims at combining the two fast-develo** research areas Semantic
Web and Web Mining. This survey analyzes the convergence of trends from both areas …

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 problem of inducing, learning or inferring grammars has been studied for decades, but
only in recent years has grammatical inference emerged as an independent field with …

With the huge amount of information available online, the World Wide Web is a fertile area
for data mining research. The Web mining research is at the cross road of research from …

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 …

Web personalization is the process of customizing a Web site to the needs of specific users,
taking advantage of the knowledge acquired from the analysis of the user's navigational …

In this chapter we present an overview of Web personalization process viewed as an
application of data mining requiring support for all the phases of a typical data mining cycle …

This paper is a survey of recent work in the field of web usage mining for the benefitof
research on the personalization of Web-based information services. The essence of …

This book is a second edition, updated and expanded to explain the technologies that help
us find information on the web. Search engines and web navigation tools have become …