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86
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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
15 years 10 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
87
Voted
CHI
2004
ACM
15 years 10 months ago
Trading design spaces: exchanging ideas on physical design environments
Physical design environments are places that support people engaged in the spatial, physical, tangible act of creation. It is now possible to augment workspaces with an amazing ar...
Wendy Ju, Margot Brereton, Michael Haller, Amanda ...
ICALP
2009
Springer
15 years 10 months ago
Functional Monitoring without Monotonicity
The notion of distributed functional monitoring was recently introduced by Cormode, Muthukrishnan and Yi [CMY08] to initiate a formal study of the communication cost of certain fu...
Chrisil Arackaparambil, Joshua Brody, Amit Chakrab...
155
Voted
VLDB
2008
ACM
147views Database» more  VLDB 2008»
15 years 10 months ago
Tree-based partition querying: a methodology for computing medoids in large spatial datasets
Besides traditional domains (e.g., resource allocation, data mining applications), algorithms for medoid computation and related problems will play an important role in numerous e...
Kyriakos Mouratidis, Dimitris Papadias, Spiros Pap...
158
Voted
SIGMOD
2009
ACM
125views Database» more  SIGMOD 2009»
15 years 10 months ago
Top-k queries on uncertain data: on score distribution and typical answers
Uncertain data arises in a number of domains, including data integration and sensor networks. Top-k queries that rank results according to some user-defined score are an important...
Tingjian Ge, Stanley B. Zdonik, Samuel Madden
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