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IDEAL
2004
Springer
13 years 9 months ago
Mobile Data Mining by Location Dependencies
Mobile mining is about finding useful knowledge from the raw data produced by mobile users. The mobile environment consists of a set of static device and mobile device. Previous wo...
Jen Ye Goh, David Taniar
IDEAL
2004
Springer
13 years 9 months ago
In-Situ Learning in Multi-net Systems
Abstract. Multiple classifier systems based on neural networks can give improved generalisation performance as compared with single classifier systems. We examine collaboration in ...
Matthew C. Casey, Khurshid Ahmad
IDEAL
2004
Springer
13 years 9 months ago
DIVACE: Diverse and Accurate Ensemble Learning Algorithm
In order for a neural network ensemble to generalise properly, two factors are considered vital. One is the diversity and the other is the accuracy of the networks that comprise th...
Arjun Chandra, Xin Yao
IDEAL
2004
Springer
13 years 9 months ago
Dimensionality Reduction with Image Data
A common objective in image analysis is dimensionality reduction. The most common often used data-exploratory technique with this objective is principal component analysis. We pro...
Mónica Benito, Daniel Peña
IDEAL
2004
Springer
13 years 9 months ago
Building Genetic Networks for Gene Expression Patterns
Building genetic regulatory networks from time series data of gene expression patterns is an important topic in bioinformatics. Probabilistic Boolean networks (PBNs) have been deve...
Wai-Ki Ching, Eric S. Fung, Michael K. Ng
IDEAL
2004
Springer
13 years 9 months ago
DESCRY: A Density Based Clustering Algorithm for Very Large Data Sets
Fabrizio Angiulli, Clara Pizzuti, Massimo Ruffolo
IDEAL
2004
Springer
13 years 9 months ago
Orthogonal Least Square with Boosting for Regression
A novel technique is presented to construct sparse regression models based on the orthogonal least square method with boosting. This technique tunes the mean vector and diagonal c...
Sheng Chen, Xunxian Wang, David J. Brown
IDEAL
2004
Springer
13 years 9 months ago
Kernel Density Construction Using Orthogonal Forward Regression
Abstract— The paper presents an efficient construction algorithm for obtaining sparse kernel density estimates based on a regression approach that directly optimizes model gener...
Sheng Chen, Xia Hong, Chris J. Harris
IDEAL
2004
Springer
13 years 9 months ago
Summarizing Time Series: Learning Patterns in 'Volatile' Series
Most financial time series processes are nonstationary and their frequency characteristics are time-dependant. In this paper we present a time series summarization and prediction ...
Saif Ahmad, Tugba Taskaya-Temizel, Khurshid Ahmad
IDEAL
2004
Springer
13 years 9 months ago
Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining
Proteins are known to perform a biological function by interacting with other proteins or compounds. Since protein–protein interaction is intrinsic to most cellular processes, pr...
Jae-Hong Eom, Jeong Ho Chang, Byoung-Tak Zhang