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» Graph Mining based on a Data Partitioning Approach
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KDD
2009
ACM
200views Data Mining» more  KDD 2009»
15 years 7 months ago
Visual analysis of documents with semantic graphs
In this paper, we present a technique for visual analysis of documents based on the semantic representation of text in the form of a directed graph, referred to as semantic graph....
Delia Rusu, Blaz Fortuna, Dunja Mladenic, Marko Gr...
IUI
2011
ACM
14 years 3 months ago
Groups without tears: mining social topologies from email
As people accumulate hundreds of “friends” in social media, a flat list of connections becomes unmanageable. Interfaces agnostic to social structure hinder the nuanced sharin...
Diana MacLean, Sudheendra Hangal, Seng Keat Teh, M...
103
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MOBICOM
2006
ACM
15 years 6 months ago
Enabling distributed throughput maximization in wireless mesh networks: a partitioning approach
This paper considers the interaction between channel assignment and distributed scheduling in multi-channel multiradio Wireless Mesh Networks (WMNs). Recently, a number of distrib...
Andrew Brzezinski, Gil Zussman, Eytan Modiano
ICDE
2008
IEEE
161views Database» more  ICDE 2008»
16 years 1 months ago
Trajectory Outlier Detection: A Partition-and-Detect Framework
Outlier detection has been a popular data mining task. However, there is a lack of serious study on outlier detection for trajectory data. Even worse, an existing trajectory outlie...
Jae-Gil Lee, Jiawei Han, Xiaolei Li
PKDD
2005
Springer
153views Data Mining» more  PKDD 2005»
15 years 6 months ago
A Quantitative Comparison of the Subgraph Miners MoFa, gSpan, FFSM, and Gaston
Abstract. Several new miners for frequent subgraphs have been published recently. Whereas new approaches are presented in detail, the quantitative evaluations are often of limited ...
Marc Wörlein, Thorsten Meinl, Ingrid Fischer,...