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» An Approach to Requirements Encapsulation with Clustering
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KDD
2006
ACM
145views Data Mining» more  KDD 2006»
16 years 2 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...
SGP
2004
15 years 4 months ago
Two Algorithms for Fast Reclustering of Dynamic Meshed Surfaces
Numerous mesh algorithms such as parametrization, radiosity, and collision detection require the decomposition of meshes into a series of clusters. In this paper we present two no...
Nathan A. Carr, John C. Hart
FUZZIEEE
2007
IEEE
15 years 8 months ago
A Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports
—In the past, we proposed a genetic-fuzzy data-mining algorithm for extracting both association rules and membership functions from quantitative transactions under a single minim...
Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng, C...
CLUSTER
2008
IEEE
15 years 8 months ago
An OSD-based approach to managing directory operations in parallel file systems
—Distributed file systems that use multiple servers to store data in parallel are becoming commonplace. Much work has already gone into such systems to maximize data throughput....
Nawab Ali, Ananth Devulapalli, Dennis Dalessandro,...
BMCBI
2008
62views more  BMCBI 2008»
15 years 1 months ago
Filtering of false positive microRNA candidates by a clustering-based approach
Background: MicroRNAs are small non-coding RNA gene products that play diversified roles from species to species. The explosive growth of microRNA researches in recent years prove...
Wing-Sze Leung, Marie C. M. Lin, David Wai-Lok Che...