Sciweavers

8 search results - page 1 / 2
» Fast direction-aware proximity for graph mining
Sort
View
KDD
2007
ACM
144views Data Mining» more  KDD 2007»
14 years 4 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
CIKM
2009
Springer
13 years 10 months ago
iPoG: fast interactive proximity querying on graphs
Given an author-conference graph, how do we answer proximity queries (e.g., what are the most related conferences for John Smith?); how can we tailor the search result if the user...
Hanghang Tong, Huiming Qu, Hani Jamjoom, Christos ...
ICDM
2008
IEEE
168views Data Mining» more  ICDM 2008»
13 years 10 months ago
Measuring Proximity on Graphs with Side Information
This paper studies how to incorporate side information (such as users’ feedback) in measuring node proximity on large graphs. Our method (ProSIN) is motivated by the well-studie...
Hanghang Tong, Huiming Qu, Hani Jamjoom
CIKM
2008
Springer
13 years 5 months ago
Fast mining of complex time-stamped events
Given a collection of complex, time-stamped events, how do we find patterns and anomalies? Events could be meetings with one or more persons with one or more agenda items at zero ...
Hanghang Tong, Yasushi Sakurai, Tina Eliassi-Rad, ...
KDD
2010
ACM
252views Data Mining» more  KDD 2010»
13 years 7 months ago
Fast query execution for retrieval models based on path-constrained random walks
Many recommendation and retrieval tasks can be represented as proximity queries on a labeled directed graph, with typed nodes representing documents, terms, and metadata, and labe...
Ni Lao, William W. Cohen