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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
15 years 12 months ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 7 months ago
Heterogeneous source consensus learning via decision propagation and negotiation
Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to conso...
Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han
SIGMOD
2004
ACM
262views Database» more  SIGMOD 2004»
16 years 6 months ago
The Next Database Revolution
Database system architectures are undergoing revolutionary changes. Most importantly, algorithms and data are being unified by integrating programming languages with the database ...
Jim Gray
CLOUD
2010
ACM
15 years 11 months ago
Stateful bulk processing for incremental analytics
This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...
DASFAA
2010
IEEE
189views Database» more  DASFAA 2010»
15 years 11 months ago
Peer-to-Peer Similarity Search Based on M-Tree Indexing
Similarity search in metric spaces has several important applications both in centralized and distributed environments. In centralized applications, such as similarity-based image ...
Akrivi Vlachou, Christos Doulkeridis, Yannis Kotid...