Data mining for hypertext: a tutorial survey

351 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Mining newsgroups using networks arising from social behavior (2003, background): “The fundamen tal feature distinguishing recent forms of information retrie val from the classical forms [25] is the pervasive use of link informa tion [3] [5].”
Web Usage Mining as a Tool for Personalization: A Survey (2003, background): “(Chakrabarti, 2000), it is estimated that roughly one million new pages are added every day and over 600 GB of pages change per month.”
Toward Scalable Systems for Big Data Analytics: A Technology Tutorial (2014, background): “Supervised learning or classification plays a key role in hypertext mining, such as in email management, newsgroup management, and maintaining web directories [211].”
Comparative study on methods of detecting research fronts using different types of citation (2009, background): “Identifying the most authoritative pages for a user query is one of the research topics in Web-structure mining (Chakrabarti, 2000).”
Big Data: A Survey (2014, neutral): “nance [124].”
Frequent term-based text clustering (2002, background): “Compared to previous applications of clustering, three major challenges must be addressed for clustering (hyper)text databases (see also [1]):”
Web mining research: a survey (2000, background): “However today’s search tools have the following problems [23].”