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» Mining Soft-Matching Rules from Textual Data
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BMCBI
2008
171views more  BMCBI 2008»
13 years 7 months ago
Fuzzy association rules for biological data analysis: A case study on yeast
Background: Last years' mapping of diverse genomes has generated huge amounts of biological data which are currently dispersed through many databases. Integration of the info...
Francisco J. Lopez, Armando Blanco, Fernando Garci...
ICDE
2008
IEEE
498views Database» more  ICDE 2008»
15 years 7 months ago
Injector: Mining Background Knowledge for Data Anonymization
Existing work on privacy-preserving data publishing cannot satisfactorily prevent an adversary with background knowledge from learning important sensitive information. The main cha...
Tiancheng Li, Ninghui Li
KDD
2000
ACM
115views Data Mining» more  KDD 2000»
13 years 11 months ago
A framework for specifying explicit bias for revision of approximate information extraction rules
Information extraction is one of the most important techniques used in Text Mining. One of the main problems in building information extraction (IE) systems is that the knowledge ...
Ronen Feldman, Yair Liberzon, Binyamin Rosenfeld, ...
KDD
2002
ACM
148views Data Mining» more  KDD 2002»
14 years 8 months ago
Tumor cell identification using features rules
Advances in imaging techniques have led to large repositories of images. There is an increasing demand for automated systems that can analyze complex medical images and extract me...
Bin Fang, Wynne Hsu, Mong-Li Lee
IJCNLP
2005
Springer
14 years 1 months ago
Answering Definition Questions Using Web Knowledge Bases
This paper presents a definition question answering approach, which is capable of mining textual definitions from large collections of documents. In order to automatically identify...
Zhushuo Zhang, Yaqian Zhou, Xuanjing Huang, Lide W...