KDD
2009
ACM
14 years 5 months ago
2009
ACM
Social networks have become a major focus of research in recent years, initially directed towards static networks but increasingly, towards dynamic ones. In this paper, we investi...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Research in relational data mining has two major directions: finding global models of a relational database and the discovery of local relational patterns within a database. While...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
: ? Towards Combining Web Classification and Web Information Extraction: a Case Study Ping Luo, Fen Lin, Yuhong Xiong, Yong Zhao, Zhongzhi Shi HP Laboratories HPL-2009-86 Classific...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Spa...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
In recent years, the blogosphere has experienced a substantial increase in the number of posts published daily, forcing users to cope with information overload. The task of guidin...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Motivated by structural properties of the Web graph that support efficient data structures for in memory adjacency queries, we study the extent to which a large network can be com...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Given a real, and weighted person-to-person network which changes over time, what can we say about the cliques that it contains? Do the incidents of communication, or weights on t...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...