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KDD
2006
ACM
142views Data Mining» more  KDD 2006»
16 years 7 months ago
Mining distance-based outliers from large databases in any metric space
Let R be a set of objects. An object o R is an outlier, if there exist less than k objects in R whose distances to o are at most r. The values of k, r, and the distance metric ar...
Yufei Tao, Xiaokui Xiao, Shuigeng Zhou
KDD
2005
ACM
118views Data Mining» more  KDD 2005»
16 years 7 months ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler
183
Voted
KDD
2005
ACM
145views Data Mining» more  KDD 2005»
16 years 7 months ago
Using and Learning Semantics in Frequent Subgraph Mining
The search for frequent subgraphs is becoming increasingly important in many application areas including Web mining and bioinformatics. Any use of graph structures in mining, howev...
Bettina Berendt
141
Voted
KDD
2003
ACM
113views Data Mining» more  KDD 2003»
16 years 7 months ago
Mining unexpected rules by pushing user dynamics
Unexpected rules are interesting because they are either previously unknown or deviate from what prior user knowledge would suggest. In this paper, we study three important issues...
Ke Wang, Yuelong Jiang, Laks V. S. Lakshmanan
CHI
2008
ACM
16 years 7 months ago
Supporting the analytical reasoning process in information visualization
This paper presents a new information visualization framework that supports the analytical reasoning process. It consists of three views - a data view, a knowledge view and a navi...
Yedendra Babu Shrinivasan, Jarke J. van Wijk