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» Distributed Data Clustering Can Be Efficient and Exact
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LCN
2007
IEEE
16 years 29 days ago
Efficient MD Coding Core Selection to Reduce the Bandwidth Consumption
- Multiple distribution trees and multiple description (MD) coding are highly robust since they provide redundancy both in network paths and data. However, MD coded streaming inclu...
Sunoh Choi, Sang-Seon Byun, Chuck Yoo
164
Voted
KDD
2008
ACM
135views Data Mining» more  KDD 2008»
16 years 7 months ago
Effective and efficient itemset pattern summarization: regression-based approaches
In this paper, we propose a set of novel regression-based approaches to effectively and efficiently summarize frequent itemset patterns. Specifically, we show that the problem of ...
Ruoming Jin, Muad Abu-Ata, Yang Xiang, Ning Ruan
PDP
2008
IEEE
16 years 1 months ago
Load Balancing Distributed Inverted Files: Query Ranking
Search engines use inverted files as index data structures to speed up the solution of user queries. The index is distributed on a set of processors forming a cluster of computer...
Carlos Gomez-Pantoja, Mauricio Marín
180
Voted
EUROSYS
2009
ACM
15 years 10 months ago
Effective and efficient compromise recovery for weakly consistent replication
Weakly consistent replication of data has become increasingly important both for loosely-coupled collections of personal devices and for large-scale infrastructure services. Unfor...
Prince Mahajan, Ramakrishna Kotla, Catherine C. Ma...
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 7 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu