Software Engineering is not only a technical discipline of its own, but also a problem domain where technologies coming from other disciplines are relevant and can play important role. One important example is knowledge engineering [1], a term that used in a board sense to encompass artificial intelligence, computational intelligence, knowledge bases, data mining, and machine learning. Many of ...

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Outlier detection has many important applications in the field of fraud detection, network robustness analysis and intrusion detection. Some researches have utilized the neural network to solve the problem because it has the advantage of powerful modeling ability. In this paper, we propose a RBF neural network model using subtractive clustering algorithm for selecting the hidden node centers, w...

Clustering is a fundamental data analysis method. It is widely used for pattern recognition, feature extraction, vector quantization (VQ), image segmentation, function approximation, and data mining. As an unsupervised classification technique, clustering identifies some inherent structures present in a set of objects based on a similarity measure. Clustering methods can be based on statistical...

Nonnegative matrix factorizations (NMF) have recently assumed an important role in several fields, such as pattern recognition, automated image exploitation, data clustering and so on. They represent a peculiar tool adopted to obtain a reduced representation of multivariate data by using additive components only, in order to learn parts-based representations of data. All algorithms for computin...

In this paper, we describe SoftBotSearch, an Internet softbot which organizes information retrieved from search engines in a form that is more useful to humans. SoftBotSearch meta-searches the web using three popular search engines, retrieves the web pages from the Internet and groups them according to their theme. Thus a search for “operating system” automatically organizes the results into ca...

The paper addresses a new QRS complex geometrical feature extraction technique as well as its application for supervised electrocardiogram (ECG) heart-beat type classification. Toward this objective, after detection and delineation of major events of the ECG signal via an appropriate algorithm, each QRS region and also its corresponding discrete wavelet transform (DWT) are supposed as virtual i...

Abstract In the presence of increasing demands for safety and efficiency material handling systems, development advanced supervisory control, monitoring, data acquisition diagnostic systems is involved, especially large industrial cranes. The important part such continuous monitoring a crane load. load system proposed in paper based on fuzzy model that estimates payload mass transferred by meas...