Sciweavers

960 search results - page 41 / 192
» CURE: An Efficient Clustering Algorithm for Large Databases
Sort
View
ICDE
2008
IEEE
157views Database» more  ICDE 2008»
16 years 5 months ago
TALE: A Tool for Approximate Large Graph Matching
Abstract-- Large graph datasets are common in many emerging database applications, and most notably in large-scale scientific applications. To fully exploit the wealth of informati...
Yuanyuan Tian, Jignesh M. Patel
126
Voted
WWW
2008
ACM
16 years 4 months ago
Efficiently finding web services using a clustering semantic approach
Efficiently finding Web services on the Web is a challenging issue in service-oriented computing. Currently, UDDI is a standard for publishing and discovery of Web services, and U...
Jiangang Ma, Yanchun Zhang, Jing He
134
Voted
ICDM
2009
IEEE
130views Data Mining» more  ICDM 2009»
15 years 1 months ago
Efficient Anonymizations with Enhanced Utility
The k-anonymization method is a commonly used privacy-preserving technique. Previous studies used various measures of utility that aim at enhancing the correlation between the orig...
Jacob Goldberger, Tamir Tassa
142
Voted
PKDD
2010
Springer
235views Data Mining» more  PKDD 2010»
15 years 1 months ago
Online Structural Graph Clustering Using Frequent Subgraph Mining
The goal of graph clustering is to partition objects in a graph database into different clusters based on various criteria such as vertex connectivity, neighborhood similarity or t...
Madeleine Seeland, Tobias Girschick, Fabian Buchwa...
ICDE
2000
IEEE
112views Database» more  ICDE 2000»
16 years 5 months ago
DEMON: Mining and Monitoring Evolving Data
Data mining algorithms have been the focus of much research recently. In practice, the input data to a data mining process resides in a large data warehouse whose data is kept up-...
Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishn...