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SAC
2009
ACM
14 years 4 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
14 years 4 months ago
Fine-Grain Perturbation for Privacy Preserving Data Publishing
— Recent work [12] shows that conventional privacy preserving publishing techniques based on anonymity-groups are susceptible to corruption attacks. In a corruption attack, if th...
Rhonda Chaytor, Ke Wang, Patricia Brantingham
ADMA
2008
Springer
151views Data Mining» more  ADMA 2008»
14 years 4 months ago
Link-Contexts for Ranking
Anchor text has been shown to be effective in ranking[6] and a variety of information retrieval tasks on web pages. Some authors have expanded on anchor text by using the words ar...
Jessica Gronski
PKDD
2004
Springer
141views Data Mining» more  PKDD 2004»
14 years 3 months ago
Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach
In this paper we propose a novel spatial associative classifier method based on a multi-relational approach that takes spatial relations into account. Classification is driven by s...
Michelangelo Ceci, Annalisa Appice, Donato Malerba
PAKDD
2010
ACM
179views Data Mining» more  PAKDD 2010»
14 years 2 months ago
Answer Diversification for Complex Question Answering on the Web
We present a novel graph ranking model to extract a diverse set of answers for complex questions via random walks over a negative-edge graph. We assign a negative sign to edge weig...
Palakorn Achananuparp, Xiaohua Hu, Tingting He, Ch...