139 search results - page 22 / 28 » Mining Research Communities in Bibliographical Data |
CINQ
2004
Springer
14 years 26 days ago
2004
Springer
Many researchers in our community (this author included) regularly emphasize the role constraints play in improving performance of data-mining algorithms. This emphasis has led to ...
AAAI
2007
13 years 9 months ago
2007
Clustering is an old research topic in data mining and machine learning communities. Most of the traditional clustering methods can be categorized local or global ones. In this pa...
SIGKDD
2010
13 years 2 months ago
2010
Traditional clustering focuses on finding a single best clustering solution from data. However, given a single data set, one could interpret it in different ways. This is particul...
KDD
2008
ACM
14 years 7 months ago
2008
ACM
This work introduces a new family of link-based dissimilarity measures between nodes of a weighted directed graph. This measure, called the randomized shortest-path (RSP) dissimil...
KDD
2006
ACM
14 years 7 months ago
2006
ACM
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...