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» Using a Hash-Based Method for Apriori-Based Graph Mining
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ACSC
2009
IEEE
14 years 3 months ago
A ConceptLink Graph for Text Structure Mining
Most text mining methods are based on representing documents using a vector space model, commonly known as a bag of word model, where each document is modeled as a linear vector r...
Rowena Chau, Ah Chung Tsoi, Markus Hagenbuchner, V...
SDM
2010
SIAM
217views Data Mining» more  SDM 2010»
13 years 7 months ago
Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs
Collaborative filtering is an important topic in data mining and has been widely used in recommendation system. In this paper, we proposed a unified model for collaborative fil...
Quanquan Gu, Jie Zhou, Chris H. Q. Ding
KDD
2007
ACM
144views Data Mining» more  KDD 2007»
14 years 9 months ago
Fast direction-aware proximity for graph mining
In this paper we study asymmetric proximity measures on directed graphs, which quantify the relationships between two nodes or two groups of nodes. The measures are useful in seve...
Hanghang Tong, Christos Faloutsos, Yehuda Koren
ICDM
2010
IEEE
117views Data Mining» more  ICDM 2010»
13 years 6 months ago
Node Similarities from Spreading Activation
In this paper we propose two methods to derive two different kinds of node similarities in a network based on their neighborhood. The first similarity measure focuses on the overla...
Kilian Thiel, Michael R. Berthold
ICDM
2007
IEEE
156views Data Mining» more  ICDM 2007»
14 years 13 days ago
Computing Correlation Anomaly Scores Using Stochastic Nearest Neighbors
This paper addresses the task of change analysis of correlated multi-sensor systems. The goal of change analysis is to compute the anomaly score of each sensor when we know that t...
Tsuyoshi Idé, Spiros Papadimitriou, Michail...