Sciweavers

MSR
2005
ACM
13 years 10 months ago
A framework for describing and understanding mining tools in software development
We propose a framework for describing, comparing and understanding tools for the mining of software repositories. The fundamental premise of this framework is that mining should b...
Daniel M. Germán, Davor Cubranic, Margaret-...
ICDM
2005
IEEE
166views Data Mining» more  ICDM 2005»
13 years 10 months ago
Sequential Pattern Mining in Multiple Streams
In this paper, we deal with mining sequential patterns in multiple data streams. Building on a state-of-the-art sequential pattern mining algorithm PrefixSpan for mining transact...
Gong Chen, Xindong Wu, Xingquan Zhu
WISE
2006
Springer
13 years 10 months ago
PrefixTreeESpan: A Pattern Growth Algorithm for Mining Embedded Subtrees
Frequent embedded subtree pattern mining is an important data mining problem with broad applications. In this paper, we propose a novel embedded subtree mining algorithm, called Pr...
Lei Zou, Yansheng Lu, Huaming Zhang, Rong Hu
ICDM
2006
IEEE
149views Data Mining» more  ICDM 2006»
13 years 10 months ago
Pattern Mining in Frequent Dynamic Subgraphs
Graph-structured data is becoming increasingly abundant in many application domains. Graph mining aims at finding interesting patterns within this data that represent novel knowl...
Karsten M. Borgwardt, Hans-Peter Kriegel, Peter Wa...
PAKDD
2007
ACM
121views Data Mining» more  PAKDD 2007»
13 years 10 months ago
Two-Phase Algorithms for a Novel Utility-Frequent Mining Model
When companies seek for the combination of products which can constantly generate high profit, the association rule mining (ARM) or the utility mining will not achieve such task. ...
Jieh-Shan Yeh, Yu-Chiang Li, Chin-Chen Chang
PAKDD
2007
ACM
166views Data Mining» more  PAKDD 2007»
13 years 10 months ago
gPrune: A Constraint Pushing Framework for Graph Pattern Mining
In graph mining applications, there has been an increasingly strong urge for imposing user-specified constraints on the mining results. However, unlike most traditional itemset co...
Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu
IDEAS
2007
IEEE
138views Database» more  IDEAS 2007»
13 years 10 months ago
On Transversal Hypergraph Enumeration in Mining Sequential Patterns
The transversal hypergraph enumeration based algorithms can be efficient in mining frequent itemsets, however it is difficult to apply them to sequence mining problems. In this ...
Dong (Haoyuan) Li, Anne Laurent, Maguelonne Teisse...
ICDM
2007
IEEE
175views Data Mining» more  ICDM 2007»
13 years 10 months ago
gApprox: Mining Frequent Approximate Patterns from a Massive Network
Recently, there arise a large number of graphs with massive sizes and complex structures in many new applications, such as biological networks, social networks, and the Web, deman...
Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han
ICDM
2008
IEEE
136views Data Mining» more  ICDM 2008»
13 years 11 months ago
Generalized Framework for Syntax-Based Relation Mining
Supervised approaches to Data Mining are particularly appealing as they allow for the extraction of complex relations from data objects. In order to facilitate their application i...
Bonaventura Coppola, Alessandro Moschitti, Daniele...
CEC
2008
IEEE
13 years 11 months ago
Distributed multi-relational data mining based on genetic algorithm
—An efficient algorithm for mining important association rule from multi-relational database using distributed mining ideas. Most existing data mining approaches look for rules i...
Wenxiang Dou, Jinglu Hu, Kotaro Hirasawa, Gengfeng...