Equip** machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …

Abstract Web Data Extraction is an important problem that has been studied by means of
different scientific tools and in a broad range of applications. Many approaches to extracting …

Witten and Frank's textbook was one of two books that 1 used for a data mining class in the
Fall of 2001. The book covers all major methods of data mining that produce a knowledge …

Text mining is a new and exciting area of computer science research that tries to solve the
crisis of information overload by combining techniques from data mining, machine learning …

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 …

Recommender systems improve access to relevant products and information by making
personalized suggestions based on previous examples of a user's likes and dislikes. Most …

The Semantic Web relies heavily on formal ontologies to structure data for comprehensive
and transportable machine understanding. Thus, the proliferation of ontologies factors …

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 …

Ontologies were developed in Artificial Intelligence to facilitate knowledge sharing and
reuse. Since the beginning of the nineties ontologies have become a popular research topic …

Data Mining Page 1 Data Mining Practical Machine Learning Tools and Techniques Third
Edition Ian H. Witten Eibe Frank Mark A. Hall ELSEVIER AMSTERDAM • BOSTON • …