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ICDM
2003
IEEE
125views Data Mining» more  ICDM 2003»
15 years 11 months ago
Clustering Item Data Sets with Association-Taxonomy Similarity
We explore in this paper the efficient clustering of item data. Different from those of the traditional data, the features of item data are known to be of high dimensionality and...
Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen
MSS
2003
IEEE
108views Hardware» more  MSS 2003»
15 years 11 months ago
Effective Management of Hierarchical Storage Using Two Levels of Data Clustering
When data resides on tertiary storage, clustering is the key to achieving high retrieval performance. However, a straightforward approach to clustering massive amounts of data on ...
Ratko Orlandic
SIGMOD
2007
ACM
144views Database» more  SIGMOD 2007»
16 years 6 months ago
GhostDB: querying visible and hidden data without leaks
Imagine that you have been entrusted with private data, such as corporate product information, sensitive government information, or symptom and treatment information about hospita...
Nicolas Anciaux, Mehdi Benzine, Luc Bouganim, Phil...
AINA
2009
IEEE
16 years 1 months ago
Improving Opportunistic Data Dissemination via Known Vector
An opportunistic network is a network where each node only has connectiviy with other nodes opportunistically. To disseminate data in this kind of network is a challenging task an...
Jyh-How Huang, Ying-Yu Chen, Yi-Chao Chen, Shivaka...
CIKM
2009
Springer
15 years 11 months ago
Query processing of massive trajectory data based on mapreduce
With the development of positioning technologies and the boosting deployment of inexpensive location-aware sensors, large volumes of trajectory data have emerged. However, efficie...
Qiang Ma, Bin Yang 0002, Weining Qian, Aoying Zhou