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KDD
2008
ACM
119views Data Mining» more  KDD 2008»
15 years 10 months ago
SAIL: summation-based incremental learning for information-theoretic clustering
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
Junjie Wu, Hui Xiong, Jian Chen
SIGECOM
2010
ACM
154views ECommerce» more  SIGECOM 2010»
15 years 2 months ago
Ranking games that have competitiveness-based strategies
This paper studies —from the perspective of efficient computation— a type of competition that is widespread throughout the plant and animal kingdoms, higher education, politic...
Leslie Ann Goldberg, Paul W. Goldberg, Piotr Kryst...
SSDBM
2008
IEEE
107views Database» more  SSDBM 2008»
15 years 3 months ago
ProUD: Probabilistic Ranking in Uncertain Databases
There are a lot of application domains, e.g. sensor databases, traffic management or recognition systems, where objects have to be compared based on vague and uncertain data. Feat...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...
ICCAD
2007
IEEE
102views Hardware» more  ICCAD 2007»
15 years 6 months ago
Scalable exploration of functional dependency by interpolation and incremental SAT solving
Functional dependency is concerned with rewriting a Boolean function f as a function h over a set of base functions {g1, …, gn}, i.e. f = h(g1, …, gn). It plays an important r...
Chih-Chun Lee, Jie-Hong Roland Jiang, Chung-Yang H...
ADC
2008
Springer
139views Database» more  ADC 2008»
15 years 3 months ago
Computing Structural Similarity of Source XML Schemas against Domain XML Schema
In this paper, we study the problem of measuring structural similarities of large number of source schemas against a single domain schema, which is useful for enhancing the qualit...
Jianxin Li, Chengfei Liu, Jeffrey Xu Yu, Jixue Liu...