KDD
2004
ACM
14 years 5 months ago
2004
ACM
This paper proposes a novel Data Envelopment Analysis (DEA) based approach for model combination. We first prove that for the 2-class classification problems DEA models identify t...
KDD
2004
ACM
14 years 5 months ago
2004
ACM
Analyzing data to find trends, correlations, and stable patterns is an important task in many industrial applications. This paper proposes a new technique based on parallel coordi...
KDD
2004
ACM
14 years 5 months ago
2004
ACM
KDD
2004
ACM
14 years 5 months ago
2004
ACM
This paper proposes a data mining approach to modeling relationships among categories in image collection. In our approach, with image feature grouping, a visual dictionary is cre...
KDD
2004
ACM
14 years 5 months ago
2004
ACM
Subspace learning approaches have attracted much attention in academia recently. However, the classical batch algorithms no longer satisfy the applications on streaming data or la...
KDD
2004
ACM
14 years 5 months ago
2004
ACM
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
KDD
2004
ACM
14 years 5 months ago
2004
ACM
Given a user-specified minimum correlation threshold and a market basket database with N items and T transactions, an all-strong-pairs correlation query finds all item pairs with...
KDD
2004
ACM
14 years 5 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 5 months ago
2004
ACM
KDD
2004
ACM
14 years 5 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...