Blogs are the recent emerging media which relies on information technology and technological advance. Since the mass media in some less-developed and developing countries are in government service and their policies are developed based on governmental interests, so blogs are provided for ideas and exchanging opinions. In this paper, we highlighted performed simulations from obtained information...

A collection consisting of the images of 774 live moth individuals, each moth belonging to one of 35 different UK species, was analysed to determine if data mining techniques could be used effectively for automatic species identification. Feature vectors were extracted from each of the moth images and the machine learning toolkit WEKA was used to classify the moths by species using the feature ...

We describe an artificial vision system used to recognize the Spanish car license plate numbers in raster images. The algorithm is designed to be independent of the distance from the car to the camera, the size of the plate number, the inclination and the light conditions. In the preprocessing steps, the algorithm takes a raster image as input and gives an ordered list of license plate areas ca...

Software packages providing a whole set of data mining and machine learning algorithms are attractive because they allow experimentation with many kinds of algorithms in an easy setup. However, these packages are often based on main-memory data structures, limiting the amount of data they can handle. In this paper we use a relational database as secondary storage in order to eliminate this limi...

In the early days of e-Commerce, web designers follow their intuition of how the website should look like. Further development of web design have seen for instance Nielsen’s heuristic, which resulted designers to focus mainly on cognitive functionality and usability. However, as technology advances and e-Commerce matures, there is a growing concern to improve the consumer interface of e-Commerc...

Data mining is the process of analyzing data based on different perspectives and summarizing it into useful information. Classification is one of the generally used techniques in medical data mining. The goal here is to discover new patterns to provide meaningful and useful information for the users. Recently data mining techniques are applied to healthcare datasets to explore suitable methods ...

In this chapter, at first the authors review the researches on music in Japan Society of Kansei Engineering. Music related researches are classified into 6 categories; Kansei evaluation methodology, music psychological research, physiological measurement, music theoretical research, Kansei music system and recommendation system. Then, the authors present their approaches for research Kansei on ...

In this paper we present and evaluate Inhambu, a distributed object-oriented system that supports the execution of data mining applications on clusters of PCs and workstations. This system provides a resource management layer, built on the top of Java/RMI, that supports the execution of the data mining tool called Weka. We evaluate the performance of Inhambu by means of several experiments in h...

In this paper we discuss and analyze some of the intelligent classifiers which allows for automatic detection and classification of networks attacks for any intrusion detection system. We will proceed initially with their analysis using the WEKA software to work with the classifiers on a well-known IDS (Intrusion Detection Systems) dataset like NSL-KDD dataset. The NSL-KDD dataset of network at...

Naive Bayes has been widely used in data mining as a simple and effective classification algorithm. Since its conditional independence assumption is rarely true, numerous algorithms have been proposed to improve naive Bayes, among which tree augmented naive Bayes (TAN) [3] achieves a significant improvement in term of classification accuracy, while maintaining efficiency and model simplicity. I...