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KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 6 months ago
Unsupervised learning on k-partite graphs
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...
KDD
2005
ACM
165views Data Mining» more  KDD 2005»
16 years 6 months ago
Co-clustering by block value decomposition
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
SYSTOR
2009
ACM
16 years 17 days ago
Energy and performance evaluation of lossless file data compression on server systems
Data compression has been claimed to be an attractive solution to save energy consumption in high-end servers and data centers. However, there has not been a study to explore this...
Rachita Kothiyal, Vasily Tarasov, Priya Sehgal, Er...
STORAGESS
2006
ACM
16 years 17 hour ago
Long-term threats to secure archives
Archival storage systems are designed for a write-once, read-maybe usage model which places an emphasis on the long-term preservation of their data contents. In contrast to tradit...
Mark W. Storer, Kevin M. Greenan, Ethan L. Miller
WEBDB
2010
Springer
178views Database» more  WEBDB 2010»
15 years 11 months ago
Using Latent-Structure to Detect Objects on the Web
An important requirement for emerging applications which aim to locate and integrate content distributed over the Web is to identify pages that are relevant for a given domain or ...
Luciano Barbosa, Juliana Freire