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CHI
2009
ACM
16 years 2 months ago
A personalized walk through the museum: the CHIP interactive tour guide
More and more museums aim at enhancing their visitors' museum experiences in a personalized, intensive and engaging way inside the museum. The CHIP1 (Cultural Heritage Inform...
Ivo Roes, Natalia Stash, Yiwen Wang, Lora Aroyo
KDD
2008
ACM
232views Data Mining» more  KDD 2008»
16 years 1 months ago
Anticipating annotations and emerging trends in biomedical literature
The BioJournalMonitor is a decision support system for the analysis of trends and topics in the biomedical literature. Its main goal is to identify potential diagnostic and therap...
Bernd Wachmann, Dmitriy Fradkin, Fabian Mörch...
KDD
2007
ACM
249views Data Mining» more  KDD 2007»
16 years 1 months ago
The minimum consistent subset cover problem and its applications in data mining
In this paper, we introduce and study the Minimum Consistent Subset Cover (MCSC) problem. Given a finite ground set X and a constraint t, find the minimum number of consistent sub...
Byron J. Gao, Martin Ester, Jin-yi Cai, Oliver Sch...
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 1 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
KDD
2005
ACM
137views Data Mining» more  KDD 2005»
16 years 1 months ago
A generalized framework for mining spatio-temporal patterns in scientific data
In this paper, we present a general framework to discover spatial associations and spatio-temporal episodes for scientific datasets. In contrast to previous work in this area, fea...
Hui Yang, Srinivasan Parthasarathy, Sameep Mehta
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