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ICCAD
2006
IEEE
126views Hardware» more  ICCAD 2006»
14 years 1 months ago
Optimizing yield in global routing
We present the first efficient approach to global routing that takes spacing-dependent costs into account and provably finds a near-optimum solution including these costs. We sh...
Dirk Müller
PODS
2008
ACM
153views Database» more  PODS 2008»
14 years 4 months ago
Approximation algorithms for co-clustering
Co-clustering is the simultaneous partitioning of the rows and columns of a matrix such that the blocks induced by the row/column partitions are good clusters. Motivated by severa...
Aris Anagnostopoulos, Anirban Dasgupta, Ravi Kumar
SIGMOD
2008
ACM
130views Database» more  SIGMOD 2008»
14 years 4 months ago
From del.icio.us to x.qui.site: recommendations in social tagging sites
We present x.qui.site, a scalable system for managing recommendations for social tagging sites like del.icio.us. seamlessly incorporates various user behaviors into the recommenda...
Sihem Amer-Yahia, Alban Galland, Julia Stoyanovich...
STOC
2003
ACM
96views Algorithms» more  STOC 2003»
14 years 4 months ago
Optimal oblivious routing in polynomial time
A recent seminal result of R?acke is that for any network there is an oblivious routing algorithm with a polylog competitive ratio with respect to congestion. Unfortunately, R?ack...
Yossi Azar, Edith Cohen, Amos Fiat, Haim Kaplan, H...
KDD
2004
ACM
113views Data Mining» more  KDD 2004»
14 years 5 months ago
Learning spatially variant dissimilarity (SVaD) measures
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agra...
KDD
2004
ACM
148views Data Mining» more  KDD 2004»
14 years 5 months ago
Interestingness of frequent itemsets using Bayesian networks as background knowledge
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
Szymon Jaroszewicz, Dan A. Simovici
KDD
2006
ACM
141views Data Mining» more  KDD 2006»
14 years 5 months ago
Statistical entity-topic models
The primary purpose of news articles is to convey information about who, what, when and where. But learning and summarizing these relationships for collections of thousands to mil...
David Newman, Chaitanya Chemudugunta, Padhraic Smy...
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
14 years 5 months ago
Extracting shared subspace for multi-label classification
Multi-label problems arise in various domains such as multitopic document categorization and protein function prediction. One natural way to deal with such problems is to construc...
Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye
WWW
2005
ACM
14 years 5 months ago
Mining directed social network from message board
In the paper, we present an approach to mining a directed social network from a message board on the Internet where vertices denote individuals and directed links denote the flow ...
Naohiro Matsumura, David E. Goldberg, Xavier Llor&...
WWW
2007
ACM
14 years 5 months ago
Just the right amount: extracting modules from ontologies
The ability to extract meaningful fragments from an ontology is key for ontology re-use. We propose a definition of a module that guarantees to completely capture the meaning of a...
Bernardo Cuenca Grau, Ian Horrocks, Yevgeny Kazako...