PAKDD
2007
ACM
14 years 6 months ago
2007
ACM
PAKDD
2007
ACM
14 years 6 months ago
2007
ACM
Convolution kernels, constructed by convolution of sub-kernels defined on sub-structures of composite objects, are widely used in classification, where one important issue is to ch...
PAKDD
2007
ACM
14 years 6 months ago
2007
ACM
Recent work shows that Support vector machines (SVMs) can be solved efficiently in the primal. This paper follows this line of research and shows how to build sparse support vector...
PAKDD
2007
ACM
14 years 6 months ago
2007
ACM
In this paper, we study the privacy-preserving decision tree building problem on vertically partitioned data. We made two contributions. First, we propose a novel hybrid approach, ...
PAKDD
2007
ACM
14 years 6 months ago
2007
ACM
Abstract. Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clusterin...
PAKDD
2007
ACM
14 years 6 months ago
2007
ACM
PAKDD
2007
ACM
14 years 6 months ago
2007
ACM
PAKDD
2007
ACM
14 years 6 months ago
2007
ACM
Distance-preserving projection based perturbation has gained much attention in privacy-preserving data mining in recent years since it mitigates the privacy/accuracy tradeoff by ac...
PAKDD
2007
ACM
14 years 6 months ago
2007
ACM
The co-association (CA) matrix was previously introduced to combine multiple partitions. In this paper, we analyze the CA matrix, and address its difference from the similarity ma...
PAKDD
2007
ACM
14 years 6 months ago
2007
ACM
In graph mining applications, there has been an increasingly strong urge for imposing user-specified constraints on the mining results. However, unlike most traditional itemset co...