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» CURE: An Efficient Clustering Algorithm for Large Databases
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SIGMOD
2009
ACM
167views Database» more  SIGMOD 2009»
16 years 4 months ago
HDSampler: revealing data behind web form interfaces
A large number of online databases are hidden behind the web. Users to these systems can form queries through web forms to retrieve a small sample of the database. Sampling such h...
Anirban Maiti, Arjun Dasgupta, Nan Zhang, Gautam D...
ICPR
2004
IEEE
16 years 5 months ago
An Iris Image Synthesis Method Based on PCA and Super-Resolution
It is very important for the performance evaluation of iris recognition algorithms to construct very large iris databases. However, limited by the real conditions, there are no ve...
Jiali Cui, JunZhou Huang, Tieniu Tan, Yunhong Wang...
KDD
2006
ACM
143views Data Mining» more  KDD 2006»
16 years 4 months ago
Algorithms for discovering bucket orders from data
Ordering and ranking items of different types are important tasks in various applications, such as query processing and scientific data mining. A total order for the items can be ...
Aristides Gionis, Heikki Mannila, Kai Puolamä...
EDBT
2009
ACM
145views Database» more  EDBT 2009»
15 years 8 months ago
Efficient top-k count queries over imprecise duplicates
We propose efficient techniques for processing various TopK count queries on data with noisy duplicates. Our method differs from existing work on duplicate elimination in two sign...
Sunita Sarawagi, Vinay S. Deshpande, Sourabh Kasli...
116
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PODS
1998
ACM
134views Database» more  PODS 1998»
15 years 8 months ago
A New Framework For Itemset Generation
The problem of finding association rules in a large database of sales transactions has been widely studied in the literature, We discuss some of the weaknessesof the large itemset...
Charu C. Aggarwal, Philip S. Yu