The exponential increase in the volume of medical image database has imposed new challenges to clinical routine in maintaining patient history, diagnosis, treatment and monitoring. With the advent of data mining and machine learning techniques it is possible to automate and/or assist physicians in clinical diagnosis. In this research a medical image classification framework using data mining te...

The role of the statistical model-based voice activity detector (SMVAD) is to detect speech regions from input signals using the statistical models of noise and noisy speech. The decision rule of SMVAD is based on the likelihood ratio test (LRT). The LRT-based decision rule may cause detection errors because of statistical properties of noise and speech signals. In this article, we first analyz...

In this paper, we examine the effect of weighting training patterns on the performance of fuzzy rule-based classification systems. A weight is assigned to each given pattern based on the class distribution of its neighboring given patterns. The values of weights are determined proportionally by the number of neighboring patterns from the same class. Large values are assigned to given patterns w...

In order to use the space-time data mining technology to conduct operation research in WuLiangSuHai Eutrophication, the water quality sensor parameters of heterogeneous data which reflect the characteristics should set up a spatial data warehouse through ETL process, and water quality sensors for quality control of spatial and temporal data plays a vital role in building an effective analytical...

We describe a sequential universal data compression procedure for binary tree sources that performs the " double mixture. " Using a context tree, this method weights in an efficient recursive way the coding distributions corresponding to all bounded memory tree sources, and achieves a desirable coding distribution for tree sources with an unknown model and unknown parameters. Computational and ...

This paper utilized the performance of the rule-based filter for detecting Arabic alert e-mail. Alert e-mails are those e-mails related to criminal or terrorist activities which are of a great interest for both security agencies and people. A set of Arabic e-mails have been collected, pre-processed, and normalized. The useful features were extracted from the collected e-mails by involving categ...

Using expert judgment data from the TU Delft's expert judgment data base, we compare the performance of different weighting schemes, namely equal weighting, performance based weighting from the classical model (Cooke, 1991), social network weighting and likelihood weighting. The picture that emerges with regard to social network weights is rather mixed. SN theory does not provide an alternative...

Automatic route choice in telecommunication networks using external management systems, also known as transport networks, is an unsatisfactorily solved problem. The task can be reduced to weighting and choosing routes in a directed graph starting with weighting edges and vertices using sets of very different parameters, parameters depending on technical and economic conditions. An essential pro...

This paper considers the automatic design of fuzzy rule-based classification systems from labeled data. The classification accuracy and interpretability of generated rules are of major importance in fuzzy classification systems. We propose a weighting function for compatibility grade of patterns that improves the performance of fuzzy classification system without degrading the interpretability ...