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SIGMOD
2004
ACM
140views Database» more  SIGMOD 2004»
16 years 7 months ago
Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering
Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...
Corrine Cheng, Jörg Sander, Samer Nassar
IJKDB
2010
170views more  IJKDB 2010»
15 years 4 months ago
Clustering Genes Using Heterogeneous Data Sources
Clustering of gene expression data is a standard exploratory technique used to identify closely related genes. Many other sources of data are also likely to be of great assistance...
Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasim...
IQ
2003
15 years 8 months ago
Data Quality in Genome Databases
: Genome databases store data about molecular biological entities such as genes, proteins, diseases, etc. The main purpose of creating and maintaining such databases in commercial ...
Heiko Müller, Felix Naumann
CACM
2008
101views more  CACM 2008»
15 years 7 months ago
Just say 'A Class Defines a Data Type'
data type and (Java) class, asking about the relationship between them. The same students would also be unlikely to find an answer in a CS1 textbook. Some textbooks might not even ...
Chenglie Hu
WWW
2003
ACM
16 years 8 months ago
Piazza: data management infrastructure for semantic web applications
The Semantic Web envisions a World Wide Web in which data is described with rich semantics and applications can pose complex queries. To this point, researchers have defined new l...
Alon Y. Halevy, Zachary G. Ives, Peter Mork, Igor ...