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» Discovering Classification from Data of Multiple Sources
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WISE
2002
Springer
14 years 12 days ago
Discovering Associations in XML Data
—Knowledge inference from semi-structured data can utilize frequent sub structures, in addition to frequency of data items. In fact, the working assumption of the present study i...
Amnon Meisels, Michael Orlov, Tal Maor
EDM
2008
117views Data Mining» more  EDM 2008»
13 years 9 months ago
Integrating Knowledge Gained From Data Mining With Pedagogical Knowledge
Abstract. Discovering knowledge from raw data is one of the goals of data mining. Yet, it is not always clear how this knowledge is used in educational computing systems and how ex...
Roland Hübscher, Sadhana Puntambekar
CIDR
2009
141views Algorithms» more  CIDR 2009»
13 years 8 months ago
Sailing the Information Ocean with Awareness of Currents: Discovery and Application of Source Dependence
The Web has enabled the availability of a huge amount of useful information, but has also eased the ability to spread false information and rumors across multiple sources, making ...
Laure Berti-Equille, Anish Das Sarma, Xin Dong, Am...
BMCBI
2008
148views more  BMCBI 2008»
13 years 7 months ago
Discovering biclusters in gene expression data based on high-dimensional linear geometries
Background: In DNA microarray experiments, discovering groups of genes that share similar transcriptional characteristics is instrumental in functional annotation, tissue classifi...
Xiangchao Gan, Alan Wee-Chung Liew, Hong Yan
ICML
2004
IEEE
14 years 8 months ago
Learning first-order rules from data with multiple parts: applications on mining chemical compound data
Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...