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SDM
2009
SIAM
192views Data Mining» more  SDM 2009»
15 years 9 months ago
Mining Cohesive Patterns from Graphs with Feature Vectors.
The increasing availability of network data is creating a great potential for knowledge discovery from graph data. In many applications, feature vectors are given in addition to g...
Arash Rafiey, Flavia Moser, Martin Ester, Recep Co...
SDM
2009
SIAM
235views Data Mining» more  SDM 2009»
15 years 9 months ago
Topic Cube: Topic Modeling for OLAP on Multidimensional Text Databases.
As the amount of textual information grows explosively in various kinds of business systems, it becomes more and more desirable to analyze both structured data records and unstruc...
ChengXiang Zhai, Duo Zhang, Jiawei Han
SDM
2009
SIAM
119views Data Mining» more  SDM 2009»
15 years 9 months ago
Twin Vector Machines for Online Learning on a Budget.
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
Zhuang Wang, Slobodan Vucetic
SDM
2009
SIAM
176views Data Mining» more  SDM 2009»
15 years 9 months ago
Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets.
Large amounts of remotely sensed data calls for data mining techniques to fully utilize their rich information content. In this paper, we study new means of discovery and summariz...
Wei Ding 0003, Tomasz F. Stepinski, Josue Salazar
ECIR
2009
Springer
15 years 9 months ago
Correlation of Term Count and Document Frequency for Google N-Grams
For bounded datasets such as the TREC Web Track (WT10g) the computation of term frequency (TF) and inverse document frequency (IDF) is not difficult. However, when the corpus is th...
Martin Klein, Michael L. Nelson