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KDD
2006
ACM
208views Data Mining» more  KDD 2006»
16 years 7 months ago
Frequent subgraph mining in outerplanar graphs
In recent years there has been an increased interest in frequent pattern discovery in large databases of graph structured objects. While the frequent connected subgraph mining pro...
Tamás Horváth, Jan Ramon, Stefan Wro...
KDD
2006
ACM
120views Data Mining» more  KDD 2006»
16 years 7 months ago
Hierarchical topic segmentation of websites
In this paper, we consider the problem of identifying and segmenting topically cohesive regions in the URL tree of a large website. Each page of the website is assumed to have a t...
Ravi Kumar, Kunal Punera, Andrew Tomkins
KDD
2006
ACM
142views Data Mining» more  KDD 2006»
16 years 7 months ago
Mining distance-based outliers from large databases in any metric space
Let R be a set of objects. An object o R is an outlier, if there exist less than k objects in R whose distances to o are at most r. The values of k, r, and the distance metric ar...
Yufei Tao, Xiaokui Xiao, Shuigeng Zhou
KDD
2003
ACM
142views Data Mining» more  KDD 2003»
16 years 7 months ago
Extracting information from text and images for location proteomics
There is extensive interest in automating the collection, organization and summarization of biological data. Data in the form of figures and accompanying captions in literature pr...
Zhenzhen Kou, William W. Cohen, Robert F. Murphy
KDD
2003
ACM
122views Data Mining» more  KDD 2003»
16 years 7 months ago
Natural communities in large linked networks
We are interested in finding natural communities in largescale linked networks. Our ultimate goal is to track changes over time in such communities. For such temporal tracking, we...
John E. Hopcroft, Omar Khan, Brian Kulis, Bart Sel...