Sciweavers

ANOR
2010
135views more  ANOR 2010»
14 years 16 days ago
A framework of irregularity enlightenment for data pre-processing in data mining
Abstract Irregularities are widespread in large databases and often lead to erroneous conclusions with respect to data mining and statistical analysis. For example, considerable bi...
Siu-Tong Au, Rong Duan, Siamak G. Hesar, Wei Jiang
GLOBECOM
2008
IEEE
14 years 17 days ago
Correlation Among Piecewise Unwanted Traffic Time Series
In this paper, we investigate temporal and spatial correlations of time series of unwanted traffic (i.e., darknet or network telescope traffic) in order to estimate statistical beh...
Kensuke Fukuda, Toshio Hirotsu, Osamu Akashi, Tosh...
ICASSP
2010
IEEE
14 years 18 days ago
Sparse Bayesian step-filtering for high-throughput analysis of molecular machine dynamics
Nature has evolved many molecular machines such as kinesin, myosin, and the rotary flagellar motor powered by an ion current from the mitochondria. Direct observation of the step-...
Max A. Little, Nick S. Jones
GECCO
2008
Springer
196views Optimization» more  GECCO 2008»
14 years 1 months ago
ADANN: automatic design of artificial neural networks
In this work an improvement of an initial approach to design Artificial Neural Networks to forecast Time Series is tackled, and the automatic process to design Artificial Neural N...
Juan Peralta, Germán Gutiérrez, Arac...
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
14 years 1 months ago
A hybrid method for tuning neural network for time series forecasting
This paper presents an study about a new Hybrid method GRASPES - for time series prediction, inspired in F. Takens theorem and based on a multi-start metaheuristic for combinatori...
Aranildo Rodrigues Lima Junior, Tiago Alessandro E...
BTW
2009
Springer
122views Database» more  BTW 2009»
14 years 1 months ago
Model-based Classification of Data with Time Series-valued Attributes
: Similarity search and data mining on time series databases has recently attracted much attention. In this paper, we represent a data object by several time series-valued attribut...
Christian Böhm, L. Läer, Claudia Plant, ...
BIOCOMP
2009
14 years 1 months ago
Inferring Gene Regulatory Networks from Asynchronous Microarray Data
Modern approaches to treating genetic disorders, cancers and even epidemics rely on a detailed understanding of the underlying gene signaling network. Previous work has used time s...
David Oviatt, Mark J. Clement, Quinn Snell, Kennet...
APVIS
2009
14 years 1 months ago
Visualizing time-varying features with TAC-based distance fields
To analyze time-varying data sets, tracking features over time is often necessary to better understand the dynamic nature of the underlying physical process. Tracking 3D time-vary...
Teng-Yok Lee, Han-Wei Shen
AMW
2009
14 years 1 months ago
T3: On Mapping Text To Time Series
We investigate if the mapping between text and time series data is feasible such that relevant data mining problems in text can find their counterparts in time series (and vice ver...
Tao Yang, Dongwon Lee
WCE
2007
14 years 1 months ago
Building Time Series Forecasting Model By Independent Component Analysis Mechanism
—Building a time series forecasting model by independent component analysis mechanism presents in the paper. Different from using the time series directly with the traditional A...
Jin-Cherng Lin, Yung-Hsin Li, Cheng-Hsiung Liu