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248
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ICDM
2009
IEEE
202views Data Mining» more  ICDM 2009»
15 years 4 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
158
Voted
KDD
2006
ACM
143views Data Mining» more  KDD 2006»
16 years 7 months ago
Algorithms for discovering bucket orders from data
Ordering and ranking items of different types are important tasks in various applications, such as query processing and scientific data mining. A total order for the items can be ...
Aristides Gionis, Heikki Mannila, Kai Puolamä...
175
Voted
IADIS
2008
15 years 8 months ago
Arch: Data Integration Framework Based on Rdfa and Usability Aspects
Lots of work has already been published on developing applications for schema or ontology matching. Most of these approaches do not take the usability aspect into account. This pa...
Christiane Dominovic
KDD
2006
ACM
149views Data Mining» more  KDD 2006»
16 years 7 months ago
Regularized discriminant analysis for high dimensional, low sample size data
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
Jieping Ye, Tie Wang
PAKDD
2010
ACM
158views Data Mining» more  PAKDD 2010»
15 years 11 months ago
Integrative Parameter-Free Clustering of Data with Mixed Type Attributes
Abstract. Integrative mining of heterogeneous data is one of the major challenges for data mining in the next decade. We address the problem of integrative clustering of data with ...
Christian Böhm, Sebastian Goebl, Annahita Osw...