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» Discovering Relational Patterns across Multiple Databases
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MMDB
2003
ACM
94views Multimedia» more  MMDB 2003»
14 years 1 months ago
Improving image retrieval effectiveness via multiple queries
Conventional approaches to image retrieval are based on the assumption that relevant images are physically near the query image in some feature space. This is the basis of the clu...
Xiangyu Jin, James C. French
ICDE
2007
IEEE
170views Database» more  ICDE 2007»
14 years 9 months ago
Tree-Pattern Similarity Estimation for Scalable Content-based Routing
With the advent of XML as the de facto language for data publishing and exchange, scalable distribution of XML data to large, dynamic populations of consumers remains an important...
Raphaël Chand, Pascal Felber, Minos N. Garofa...
ADC
2003
Springer
182views Database» more  ADC 2003»
14 years 1 months ago
CT-ITL : Efficient Frequent Item Set Mining Using a Compressed Prefix Tree with Pattern Growth
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
Yudho Giri Sucahyo, Raj P. Gopalan
APSEC
1999
IEEE
14 years 10 days ago
An Approach for Measuring Software Evolution Using Source Code Features
One of the characteristics of large software systems is that they evolve over time. Evolution patterns include modifications related to the implementation, interfaces and the over...
Ladan Tahvildari, Richard Gregory, Kostas Kontogia...
KDD
1997
ACM
111views Data Mining» more  KDD 1997»
14 years 5 days ago
SIPping from the Data Firehose
When mining large databases, the data extraction problem and the interface between the database and data mining algorithm become important issues. Rather than giving a mining algo...
George H. John, Brian Lent