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» CURE: An Efficient Clustering Algorithm for Large Databases
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161
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BMCBI
2010
161views more  BMCBI 2010»
15 years 1 months ago
LTC: a novel algorithm to improve the efficiency of contig assembly for physical mapping in complex genomes
Background: Physical maps are the substrate of genome sequencing and map-based cloning and their construction relies on the accurate assembly of BAC clones into large contigs that...
Zeev Frenkel, Etienne Paux, David I. Mester, Cathe...
197
Voted
VLDB
1999
ACM
224views Database» more  VLDB 1999»
15 years 8 months ago
Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering
Many applications require the clustering of large amounts of high-dimensional data. Most clustering algorithms, however, do not work e ectively and e ciently in highdimensional sp...
Alexander Hinneburg, Daniel A. Keim
254
Voted
ICDE
2008
IEEE
141views Database» more  ICDE 2008»
16 years 5 months ago
A General Framework for Fast Co-clustering on Large Datasets Using Matrix Decomposition
Abstract-- Simultaneously clustering columns and rows (coclustering) of large data matrix is an important problem with wide applications, such as document mining, microarray analys...
Feng Pan, Xiang Zhang, Wei Wang 0010
128
Voted
BTW
2007
Springer
131views Database» more  BTW 2007»
15 years 7 months ago
TopX - Efficient and Versatile Top-k Query Process-ing for Text, Semistructured, and Structured Data
: This paper presents a comprehensive overview of the TopX search engine, an extensive framework for unified indexing and querying large collections of unstructured, semistructured...
Martin Theobald, Ralf Schenkel, Gerhard Weikum
130
Voted
CSCLP
2006
Springer
15 years 7 months ago
Efficient Recognition of Acyclic Clustered Constraint Satisfaction Problems
Abstract. In this paper we present a novel approach to solving Constraint Satisfaction Problems whose constraint graphs are highly clustered and the graph of clusters is close to b...
Igor Razgon, Barry O'Sullivan