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PAKDD
2011
ACM
245views Data Mining» more  PAKDD 2011»
13 years 3 months ago
Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
Timothy M. Hospedales, Shaogang Gong, Tao Xiang
PAKDD
2011
ACM
209views Data Mining» more  PAKDD 2011»
13 years 3 months ago
Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation
Abstract. Given a graph with billions of nodes and edges, how can we find patterns and anomalies? Are there nodes that participate in too many or too few triangles? Are there clos...
U. Kang, Brendan Meeder, Christos Faloutsos
PAKDD
2011
ACM
214views Data Mining» more  PAKDD 2011»
13 years 3 months ago
Spectral Analysis of k-Balanced Signed Graphs
Abstract. Previous studies on social networks are often focused on networks with only positive relations between individual nodes. As a significant extension, we conduct the spectr...
Leting Wu, Xiaowei Ying, Xintao Wu, Aidong Lu, Zhi...
PAKDD
2011
ACM
419views Data Mining» more  PAKDD 2011»
13 years 3 months ago
DISC: Data-Intensive Similarity Measure for Categorical Data
Abstract. The concept of similarity is fundamentally important in almost every scientific field. Clustering, distance-based outlier detection, classification, regression and sea...
Aditya Desai, Himanshu Singh, Vikram Pudi
PAKDD
2011
ACM
253views Data Mining» more  PAKDD 2011»
13 years 3 months ago
Balance Support Vector Machines Locally Using the Structural Similarity Kernel
A structural similarity kernel is presented in this paper for SVM learning, especially for learning with imbalanced datasets. Kernels in SVM are usually pairwise, comparing the sim...
Jianxin Wu