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» An Approach to Requirements Encapsulation with Clustering
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110
Voted
SIGIR
2002
ACM
15 years 1 months ago
Unsupervised document classification using sequential information maximization
We present a novel sequential clustering algorithm which is motivated by the Information Bottleneck (IB) method. In contrast to the agglomerative IB algorithm, the new sequential ...
Noam Slonim, Nir Friedman, Naftali Tishby
PAKDD
2004
ACM
183views Data Mining» more  PAKDD 2004»
15 years 7 months ago
Constraint-Based Graph Clustering through Node Sequencing and Partitioning
This paper proposes a two-step graph partitioning method to discover constrained clusters with an objective function that follows the well-known minmax clustering principle. Compar...
Yu Qian, Kang Zhang, Wei Lai
116
Voted
CLUSTER
2000
IEEE
15 years 5 months ago
Efficient Parallel I/O on SCI Connected Clusters
This paper presents a new approach towards parallel I/O for message-passing (MPI) applications on clusters built with commodity hardware and an SCI interconnect: instead of using t...
Joachim Worringen
PKDD
2004
Springer
277views Data Mining» more  PKDD 2004»
15 years 7 months ago
Scalable Density-Based Distributed Clustering
Clustering has become an increasingly important task in analysing huge amounts of data. Traditional applications require that all data has to be located at the site where it is scr...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
120
Voted
HT
2010
ACM
14 years 11 months ago
Citation based plagiarism detection: a new approach to identify plagiarized work language independently
This paper describes a new approach towards detecting plagiarism and scientific documents that have been read but not cited. In contrast to existing approaches, which analyze docu...
Bela Gipp, Jöran Beel