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» An overview of clustering methods
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99
Voted
KDD
2009
ACM
204views Data Mining» more  KDD 2009»
16 years 1 months ago
DOULION: counting triangles in massive graphs with a coin
Counting the number of triangles in a graph is a beautiful algorithmic problem which has gained importance over the last years due to its significant role in complex network analy...
Charalampos E. Tsourakakis, U. Kang, Gary L. Mille...
114
Voted
KDD
2008
ACM
115views Data Mining» more  KDD 2008»
16 years 29 days ago
SPIRAL: efficient and exact model identification for hidden Markov models
Hidden Markov models (HMMs) have received considerable attention in various communities (e.g, speech recognition, neurology and bioinformatic) since many applications that use HMM...
Yasuhiro Fujiwara, Yasushi Sakurai, Masashi Yamamu...
95
Voted
KDD
2008
ACM
135views Data Mining» more  KDD 2008»
16 years 29 days ago
Effective and efficient itemset pattern summarization: regression-based approaches
In this paper, we propose a set of novel regression-based approaches to effectively and efficiently summarize frequent itemset patterns. Specifically, we show that the problem of ...
Ruoming Jin, Muad Abu-Ata, Yang Xiang, Ning Ruan
KDD
2007
ACM
144views Data Mining» more  KDD 2007»
16 years 29 days 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
94
Voted
HPCA
2008
IEEE
16 years 28 days ago
Fabric convergence implications on systems architecture
Converged fabrics that support data, storage, and cluster networking in a unified fashion are desirable for their cost and manageability advantages. Recent trends towards higher-b...
Kevin Leigh, Parthasarathy Ranganathan, Jaspal Sub...