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» Practical Preference Relations for Large Data Sets
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CHI
2009
ACM
14 years 7 days ago
Matchin: eliciting user preferences with an online game
Eliciting user preferences for large datasets and creating rankings based on these preferences has many practical applications in community-based sites. This paper gives a new met...
Severin Hacker, Luis von Ahn
IDA
2011
Springer
13 years 12 days ago
A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets
The amount of data produced by ubiquitous computing applications is quickly growing, due to the pervasive presence of small devices endowed with sensing, computing and communicatio...
Annalisa Appice, Michelangelo Ceci, Antonio Turi, ...
ICDE
1994
IEEE
103views Database» more  ICDE 1994»
13 years 9 months ago
A Multi-Set Extended Relational Algebra - A Formal Approach to a Practical Issue
The relational data model is based on sets of tuples, i.e. it does not allow duplicate tuples in a relation. Many database languages and systems do require multi-set place, the hi...
Paul W. P. J. Grefen, Rolf A. de By
ICDE
2010
IEEE
295views Database» more  ICDE 2010»
14 years 10 days ago
K nearest neighbor queries and kNN-Joins in large relational databases (almost) for free
— Finding the k nearest neighbors (kNN) of a query point, or a set of query points (kNN-Join) are fundamental problems in many application domains. Many previous efforts to solve...
Bin Yao, Feifei Li, Piyush Kumar
MICRO
1994
IEEE
99views Hardware» more  MICRO 1994»
13 years 9 months ago
Data relocation and prefetching for programs with large data sets
Numerical applications frequently contain nested loop structures that process large arrays of data. The execution of these loop structures often produces memory preference pattern...
Yoji Yamada, John Gyllenhall, Grant Haab, Wen-mei ...