Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and anomaly detection in program flows. Among the various approaches proposed in the literature, graph classification based on frequent subgraphs is a popular branch: Graphs are represented as (usually binary) vectors, with c...

Our planet is experiencing simultaneous changes in global population, urbanization, and climate. These changes, along with the rapid growth of climate data and increasing popularity of data mining techniques may lead to the conclusion that the time is ripe for data mining to spur major innovations in climate science. However, climate data bring forth unique challenges that are unfamiliar to the...

Today’s real world faces different kinds of complex optimization problems. The existing methodologies can’t cope of with such complex problems. This paper presents classification rule mining as a multi-objective problem rather than a single objective one. Multi-Objective optimization is a challenging area and focus for research. Here two modern domains of research are discussed one is swarm int...

Corporate data mining faces the challenge of systematic knowledge discovery in large data streams to support managerial decision making. While research in operations research, direct marketing and machine learning focuses on the analysis and design of data mining algorithms, the interaction of data mining with the preceding phase of data preprocessing has not been investigated in detail. This p...

Credit scoring has become very important issue due to the recent growth of the credit industry, so the credit department of the bank faces a large amount of credit data. Clearly it is impossible analyzing this huge amount of data both in economic and manpower terms, so data mining techniques were employed for this purpose. So far many data mining methods are proposed to handle credit scoring pr...

Face frontalization is a rising technique for view-invariant face analysis. It enables a non-frontal facial image to recover its general facial appearances to frontal view. A few pioneering works have been proposed very recently. However, face frontalization with detailed facial expression recovering is still very challenging due to the non-linear relationships between head-pose and expression ...

Lee et al. proposed two methods to speed up the computation of scalar multiplication of elliptic curve defined over GF (2) with a medium size of m in the range 10 ≤ m ≤ 20. In these methods, Frobenius map is utilized to expand the integer k and each coefficient of the expansion is represented as a binary string. In this paper, with the application of joint sparse form (JSF) to the coefficients,...

Development of information technology results in creation of more and more advanced teaching assisting systems. The authors of the article made an attempt to design and use the adaptative educational system based on the technologies: J2EE, JSF and XML. Unlike most hitherto solutions, the authors propose a three-tier architecture of the system and its improvement with additional functionalities.

In the following article we describe the architecture of an online store project, which is an application utilising Java Enterprise Edition. Our project is based on a customer expectations model. The choice of technology has been due to its easy expandability by additional modules as well as its functionality which does not require reorganising the existing code.

Behavioral studies have shown that picture-plane inversion impacts face and object recognition differently, thereby suggesting face-specific processing mechanisms in the human brain. Here we used event-related potentials to investigate the time course of this behavioral inversion effect in both faces and novel objects. ERPs were recorded for 14 subjects presented with upright and inverted visua...