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KDD
2004
ACM
145views Data Mining» more  KDD 2004»
14 years 28 days ago
A graph-theoretic approach to extract storylines from search results
We present a graph-theoretic approach to discover storylines from search results. Storylines are windows that offer glimpses into interesting themes latent among the top search re...
Ravi Kumar, Uma Mahadevan, D. Sivakumar
AAIM
2007
Springer
118views Algorithms» more  AAIM 2007»
13 years 11 months ago
Significance-Driven Graph Clustering
Abstract. Modularity, the recently defined quality measure for clusterings, has attained instant popularity in the fields of social and natural sciences. We revisit the rationale b...
Marco Gaertler, Robert Görke, Dorothea Wagner
ITNG
2008
IEEE
14 years 1 months ago
An Efficient Technique for Distance Computation in Road Networks
With recent advances in wireless communication and position technologies, it became possible to collect and record trajectories of moving objects. Thus, many services in road netw...
Xu Jianqiu, Victor Teixeira de Almeida, Qin Xiaoli...
KDD
2010
ACM
300views Data Mining» more  KDD 2010»
13 years 6 months ago
Using data mining techniques to address critical information exchange needs in disaster affected public-private networks
Crisis Management and Disaster Recovery have gained immense importance in the wake of recent man and nature inflicted calamities. A critical problem in a crisis situation is how t...
Li Zheng, Chao Shen, Liang Tang, Tao Li, Steven Lu...
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
14 years 8 months ago
Finding tribes: identifying close-knit individuals from employment patterns
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Lisa Friedland, David Jensen