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EDBT
2016
ACM
64views Database» more  EDBT 2016»
3 years 9 months ago
Summarizing Linked Data RDF Graphs Using Approximate Graph Pattern Mining
The Linked Open Data (LOD) cloud brings together information described in RDF and stored on the web in (possibly distributed) RDF Knowledge Bases (KBs). The data in these KBs are ...
KDD
2005
ACM
92views Data Mining» more  KDD 2005»
10 years 1 months ago
Summarizing itemset patterns: a profile-based approach
Frequent-pattern mining has been studied extensively on scalable methods for mining various kinds of patterns including itemsets, sequences, and graphs. However, the bottleneck of...
Xifeng Yan, Hong Cheng, Jiawei Han, Dong Xin
CIKM
2009
Springer
9 years 8 months ago
Frequent subgraph pattern mining on uncertain graph data
Graph data are subject to uncertainties in many applications due to incompleteness and imprecision of data. Mining uncertain graph data is semantically different from and computat...
Zhaonian Zou, Jianzhong Li, Hong Gao, Shuo Zhang
ICDM
2009
IEEE
202views Data Mining» more  ICDM 2009»
8 years 11 months ago
Link Prediction on Evolving Data Using Matrix and Tensor Factorizations
Abstract--The data in many disciplines such as social networks, web analysis, etc. is link-based, and the link structure can be exploited for many different data mining tasks. In t...
Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda
BTW
2015
Springer
22views Database» more  BTW 2015»
3 years 9 months ago
SPARQling Pig - Processing Linked Data with Pig Latin
: In recent years, dataflow languages such as Pig Latin have emerged as flexible and powerful tools for handling complex analysis tasks on big data. These languages support schem...
Stefan Hagedorn, Katja Hose, Kai-Uwe Sattler
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