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» Subgroup Discovery Techniques and Applications
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KDD
2003
ACM
149views Data Mining» more  KDD 2003»
15 years 9 months ago
Knowledge-based data mining
We describe techniques for combining two types of knowledge systems: expert and machine learning. Both the expert system and the learning system represent information by logical d...
Søren Damgaard, Sholom M. Weiss, Shubir Kap...
SIGMOD
2008
ACM
206views Database» more  SIGMOD 2008»
15 years 9 months ago
Ad-hoc aggregations of ranked lists in the presence of hierarchies
A variety of web sites and web based services produce textual lists at varying time granularities ranked according to several criteria. For example, Google Trends produces lists o...
Nilesh Bansal, Sudipto Guha, Nick Koudas
101
Voted
ICDE
2010
IEEE
428views Database» more  ICDE 2010»
15 years 9 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
ESORICS
2009
Springer
15 years 4 months ago
Privacy Preserving Publication of Moving Object Data
The increasing availability of space-time trajectories left by location-aware devices is expected to enable novel classes of applications where the discovery of consumable, concise...
Francesco Bonchi
KDD
2009
ACM
193views Data Mining» more  KDD 2009»
15 years 4 months ago
Category detection using hierarchical mean shift
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
Pavan Vatturi, Weng-Keen Wong