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PAKDD
2009
ACM
96views Data Mining» more  PAKDD 2009»
16 years 1 months ago
Aggregated Subset Mining
The usual data mining setting uses the full amount of data to derive patterns for different purposes. Taking cues from machine learning techniques, we explore ways to divide the d...
Albrecht Zimmermann, Björn Bringmann
HICSS
2005
IEEE
178views Biometrics» more  HICSS 2005»
16 years 11 days ago
The Entity Container - An Object-Oriented and Model-Driven Persistency Cache
Data persistency is a fundamental, but complex aspect of a modern software development process. Therefore, in order to reduce development costs and improve a system’s quality, s...
Gernot Schmoelzer, Stefan Mitterdorfer, Christian ...
ICN
2005
Springer
16 years 8 days ago
Maximizing System Value Among Interested Packets While Satisfying Time and Energy Constraints
: Data filtering is an important approach to reduce energy consumption. Following this idea, Interest is used as a constraint to filter uninterested data in sensor networks. Within...
Lei Shu, Sungyoung Lee, Xiaoling Wu, Jie Yang
164
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INFOVIS
2002
IEEE
15 years 11 months ago
A Hybrid Layout Algorithm for Sub-Quadratic Multidimensional Scaling
Many clustering and layout techniques have been used for structuring and visualising complex data. This paper is inspired by a number of such contemporary techniques and presents ...
Alistair Morrison, Greg Ross, Matthew Chalmers
ICMLA
2008
15 years 8 months ago
Graph-Based Multilevel Dimensionality Reduction with Applications to Eigenfaces and Latent Semantic Indexing
Dimension reduction techniques have been successfully applied to face recognition and text information retrieval. The process can be time-consuming when the data set is large. Thi...
Sophia Sakellaridi, Haw-ren Fang, Yousef Saad