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» Improving Mining Quality by Exploiting Data Dependency
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KDD
2012
ACM
212views Data Mining» more  KDD 2012»
13 years 7 months ago
eTrust: understanding trust evolution in an online world
Most existing research about online trust assumes static trust relations between users. As we are informed by social sciences, trust evolves as humans interact. Little work exists...
Jiliang Tang, Huan Liu, Huiji Gao, Atish Das Sarma...
KBS
2007
100views more  KBS 2007»
15 years 4 months ago
A retraining methodology for enhancing agent intelligence
Data mining has proven a successful gateway for discovering useful knowledge and for enhancing business intelligence in a range of application fields. Incorporating this knowledg...
Andreas L. Symeonidis, Ioannis N. Athanasiadis, Pe...
MSR
2005
ACM
15 years 10 months ago
Improving evolvability through refactoring
Refactoring is one means of improving the structure of existing software. Locations for the application of refactoring are often based on subjective perceptions such as ”bad sme...
Jacek Ratzinger, Michael Fischer, Harald Gall
ICDM
2010
IEEE
216views Data Mining» more  ICDM 2010»
15 years 2 months ago
K-AP: Generating Specified K Clusters by Efficient Affinity Propagation
Abstract--The Affinity Propagation (AP) clustering algorithm proposed by Frey and Dueck (2007) provides an understandable, nearly optimal summary of a data set. However, it suffers...
Xiangliang Zhang, Wei Wang, Kjetil Nørv&ari...
CICLING
2010
Springer
15 years 8 months ago
Selecting the N-Top Retrieval Result Lists for an Effective Data Fusion
Although the application of data fusion in information retrieval has yielded good results in the majority of the cases, it has been noticed that its achievement is dependent on the...
Antonio Juárez-González, Manuel Mont...