210
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KDD
2006
ACM
16 years 7 months ago
2006
ACM
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
199
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
Recent work has shown the feasibility and promise of templateindependent Web data extraction. However, existing approaches use decoupled strategies ? attempting to do data record ...
173
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
We introduce a novel framework (BLOSOM) for mining (frequent) boolean expressions over binary-valued datasets. We organize the space of boolean expressions into four categories: p...
204
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
Previous efforts on event detection from the web have focused primarily on web content and structure data ignoring the rich collection of web log data. In this paper, we propose t...
195
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
220
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
149
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
Privacy becomes a more and more serious concern in applications involving microdata. Recently, efficient anonymization has attracted much research work. Most of the previous metho...
158
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...
177
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
1 A bridging rule in this paper has its antecedent and action from different conceptual clusters. We first design two algorithms for mining bridging rules between clusters in a dat...