Classification of Web page content is essential to many tasks in Web information retrieval
such as maintaining Web directories and focused crawling. The uncontrolled nature of Web …

Releasing social network data could seriously breach user privacy. User profile and
friendship relations are inherently private. Unfortunately, sensitive information may be …

Detecting anomalies in data is a vital task, with numerous high-impact applications in areas
such as security, finance, health care, and law enforcement. While numerous techniques …

The problem of classification has been widely studied in the data mining, machine learning,
database, and information retrieval communities with applications in a number of diverse …

Many real-world applications produce networked data such as the world-wide web
(hypertext documents connected via hyperlinks), social networks (for example, people …

Social media such as blogs, Facebook, Flickr, etc., presents data in a network format rather
than classical IID distribution. To address the interdependency among data instances …

A key challenge for machine learning is the problem of mining richly structured data sets,
where the objects are linked in some way due to either an explicit or implicit relationship that …

Social media has reshaped the way in which people interact with each other. The rapid
development of participatory web and social networking sites like YouTube, Twitter, and …

This paper1 is about classifying entities that are interlinked with entities for which the class is
known. After surveying prior work, we present NetKit, a modular toolkit for classification in …

Recent work on graphical models for relational data has demonstrated significant
improvements in classification and inference when models represent the dependencies …