KDD
2004
ACM
14 years 9 months ago
2004
ACM
In this paper, we define and study a novel text mining problem, which we refer to as Comparative Text Mining (CTM). Given a set of comparable text collections, the task of compara...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
KDD
2004
ACM
14 years 9 months ago
2004
ACM
Mining frequent structural patterns from graph databases is an interesting problem with broad applications. Most of the previous studies focus on pruning unfruitful search subspac...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
Transformation of both the response variable and the predictors is commonly used in fitting regression models. However, these transformation methods do not always provide the maxi...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
For the discovery of similar patterns in 1D time-series, it is very typical to perform a normalization of the data (for example a transformation so that the data follow a zero mea...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
There is a notable interest in extending probabilistic generative modeling principles to accommodate for more complex structured data types. In this paper we develop a generative ...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
Pattern ordering is an important task in data mining because the number of patterns extracted by standard data mining algorithms often exceeds our capacity to manually analyze the...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
The goal of this paper is to show that generalizing the notion of support can be useful in extending association analysis to non-traditional types of patterns and non-binary data....