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» Extracting Web Data Using Instance-Based Learning
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115
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WWW
2010
ACM
15 years 9 months ago
Identifying spam link generators for monitoring emerging web spam
In this paper, we address the question of how we can identify hosts that will generate links to web spam. Detecting such spam link generators is important because almost all new s...
Young-joo Chung, Masashi Toyoda, Masaru Kitsuregaw...
148
Voted
ILP
1999
Springer
15 years 6 months ago
Probabilistic Relational Models
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Daphne Koller
117
Voted
ICAC
2005
IEEE
15 years 8 months ago
Multi-resolution Abnormal Trace Detection Using Varied-length N-grams and Automata
Detection and diagnosis of faults in a large-scale distributed system is a formidable task. Interest in monitoring and using traces of user requests for fault detection has been o...
Guofei Jiang, Haifeng Chen, Cristian Ungureanu, Ke...
131
Voted
AUSAI
2003
Springer
15 years 7 months ago
Semi-Automatic Construction of Metadata from a Series of Web Documents
Metadata plays an important role in discovering, collecting, extracting and aggregating Web data. This paper proposes a method of constructing metadata for a specific topic. The m...
Sachio Hirokawa, Eisuke Itoh, Tetsuhiro Miyahara
144
Voted
ICMI
2010
Springer
172views Biometrics» more  ICMI 2010»
15 years 17 days ago
Modelling and analyzing multimodal dyadic interactions using social networks
Social network analysis became a common technique used to model and quantify the properties of social interactions. In this paper, we propose an integrated framework to explore th...
Sergio Escalera, Petia Radeva, Jordi Vitrià...