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KDD
2004
ACM
190views Data Mining» more  KDD 2004»
16 years 5 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
161
Voted
STOC
2003
ACM
178views Algorithms» more  STOC 2003»
16 years 5 months ago
Uniform hashing in constant time and linear space
Many algorithms and data structures employing hashing have been analyzed under the uniform hashing assumption, i.e., the assumption that hash functions behave like truly random fu...
Anna Östlin, Rasmus Pagh
EDBT
2008
ACM
159views Database» more  EDBT 2008»
16 years 5 months ago
Automaton in or out: run-time plan optimization for XML stream processing
Many systems such as Tukwila and YFilter combine automaton and algebra techniques to process queries over tokenized XML streams. Typically in this architecture, an automaton is fi...
Hong Su, Elke A. Rundensteiner, Murali Mani
CIKM
2009
Springer
15 years 11 months ago
Exploiting bidirectional links: making spamming detection easier
Previous anti-spamming algorithms based on link structure suffer from either the weakness of the page value metric or the vagueness of the seed selection. In this paper, we propos...
Yan Zhang, Qiancheng Jiang, Lei Zhang, Yizhen Zhu
124
Voted
RECSYS
2009
ACM
15 years 11 months ago
Getting recommender systems to think outside the box
We examine the case of over-specialization in recommender systems, which results from returning items that are too similar to those previously rated by the user. We propose Outsid...
Zeinab Abbassi, Sihem Amer-Yahia, Laks V. S. Laksh...