26 search results - page 5 / 6 » Clustering-based approaches to SAGE data mining |
KDD
2004
ACM
14 years 5 months ago
2004
ACM
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
SSD
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. In the consumer market, there has been an increasing interest in portable navigation systems in the last few years. These systems usually work on digital map databases st...
KDD
2010
ACM
13 years 3 months ago
2010
ACM
Identifying hot spots of moving vehicles in an urban area is essential to many smart city applications. The practical research on hot spots in smart city presents many unique feat...
SAC
2008
ACM
13 years 4 months ago
2008
ACM
Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...
ICDM
2006
IEEE
13 years 11 months ago
2006
IEEE
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...