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» Relational concept discovery in structured datasets
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ADMA
2008
Springer
147views Data Mining» more  ADMA 2008»
14 years 5 months ago
Mining Supplemental Frequent Patterns
The process of resource distribution and load balance of a distributed P2P network can be described as the process of mining Supplement Frequent Patterns (SFPs) from query transact...
Yintian Liu, Yingming Liu, Tao Zeng, Kaikuo Xu, Ro...
ICDE
2010
IEEE
428views Database» more  ICDE 2010»
14 years 10 months ago
Supporting Top-K Keyword Search in XML Databases
Keyword search is considered to be an effective information discovery method for both structured and semistructured data. In XML keyword search, query semantics is based on the con...
Liang Jeff Chen, Yannis Papakonstantinou
CIVR
2008
Springer
220views Image Analysis» more  CIVR 2008»
14 years 19 days ago
Web-based information content and its application to concept-based video retrieval
Semantic similarity between words or phrases is frequently used to find matching correlations between search queries and documents when straightforward matching of terms fails. Th...
Alexander Haubold, Apostol Natsev
BIODATAMINING
2008
120views more  BIODATAMINING 2008»
13 years 11 months ago
Filling the gap between biology and computer science
This editorial introduces BioData Mining, a new journal which publishes research articles related to advances in computational methods and techniques for the extraction of useful ...
Jesús S. Aguilar-Ruiz, Jason H. Moore, Mary...
ADC
2003
Springer
182views Database» more  ADC 2003»
14 years 4 months ago
CT-ITL : Efficient Frequent Item Set Mining Using a Compressed Prefix Tree with Pattern Growth
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
Yudho Giri Sucahyo, Raj P. Gopalan