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» Mining Generalized Graph Patterns Based on User Examples
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CIKM
2009
Springer
15 years 4 months ago
L2 norm regularized feature kernel regression for graph data
Features in many real world applications such as Cheminformatics, Bioinformatics and Information Retrieval have complex internal structure. For example, frequent patterns mined fr...
Hongliang Fei, Jun Huan
WWW
2008
ACM
15 years 10 months ago
User oriented link function classification
Currently most link-related applications treat all links in the same web page to be identical. One link-related application usually requires one certain property of hyperlinks but...
Mingliang Zhu, Weiming Hu, Ou Wu, Xi Li, Xiaoqin Z...
KDD
2006
ACM
164views Data Mining» more  KDD 2006»
15 years 10 months ago
Sampling from large graphs
Given a huge real graph, how can we derive a representative sample? There are many known algorithms to compute interesting measures (shortest paths, centrality, betweenness, etc.)...
Jure Leskovec, Christos Faloutsos
DATAMINE
1999
152views more  DATAMINE 1999»
14 years 9 months ago
Discovery of Frequent DATALOG Patterns
Discovery of frequent patterns has been studied in a variety of data mining settings. In its simplest form, known from association rule mining, the task is to discover all frequent...
Luc Dehaspe, Hannu Toivonen
WWW
2008
ACM
15 years 10 months ago
Query-sets: using implicit feedback and query patterns to organize web documents
In this paper we present a new document representation model based on implicit user feedback obtained from search engine queries. The main objective of this model is to achieve be...
Barbara Poblete, Ricardo A. Baeza-Yates