The usage of descriptive data mining methods for predictive purposes is a recent trend in data mining research. It is well motivated by the understandability of learned models, the limitation of the so-called “horizon effect” and by the fact that it is a multi-task solution. In particular, associative classification, whose main idea is to exploit association rules discovery approaches in classi...

The modern age of psychosurgery can be said to have started with Moniz and Lima. Freeman and Watts subsequently revised and popularised the lobotomy procedure. Moniz shared the 1949 Nobel Prize for medicine or physiology for his discovery of the therapeutic value of leucotomy in certain psychoses, which accelerated the worldwide popularisation of lobotomy, particularly during the years from 194...

This study compared three pedagogical approaches on the acquisition and robust understanding of the control of variables strategy (CVS). In Sao Pedro et al. (2009), we showed that two direct learning conditions (with and without reification) significantly outperformed the discovery learning condition for constructing unconfounded experiments starting from an initially multiply confounded experi...

Association rule discovery plays an important role in knowledge discovery and data mining, and efficiency is especially crucial for an algorithm finding frequent itemsets from a large database. Many methods have been proposed to solve this problem. In addition, parallel computing has been a popular trend, such as on cloud platform, grid system or multicore platform. In this paper, a high effici...

Service-Orientated Computing (SOC) has become a main trend in software engineering that promotes the construction of applications based on the notion of services. SOC has recently attracted the researchers’ attention and has been adopted industry-wide. However, service composition that enables one to aggregate existing services into a new composite service is still a highly complex and critical...

Mass spectrometry approaches to biomarker discovery in human fluids have received a great deal of attention in recent years. While mass spectrometry instrumentation and analysis approaches have been widely investigated, little attention has been paid to how sample handling can impact the plasma proteome and therefore influence biomarker discovery. We have investigated the effects of two main as...

Data-driven knowledge discovery is becoming a new trend in various scientific fields. In light of this, the goal of the present paper is to introduce a novel framework to study one interesting topic in cognitive and behavioral studies -multimodal communication between human-human and human-robot interaction. We present an overall solution from data capture, through data coding and validation, t...

The explosive growth of databases in scientiic, industrial, and commercial elds has not been accompanied by a similar growth in our ability to analyze and digest this data. The increasing amount and complexity of data creates an urgent need for automatic database analysis tools. This trend is evident in molecular biology data which continues to grow in both size and complexity. This research ou...

Online social networks (OSNs) have become popular platforms for people to interact with each other in the cyber space. Users use OSNs to talk about their daily activities, mood, health status, sports events, travel experiences, political campaigns, entertainment events, and commercial products, among other things. Conversations between users on an OSN site could reflect the current social trend...

Web service discovery has been a challenging activity since a long time and is still a problem area to find the right service as per user’s criteria. Web service discovery process entails finding the most relevant service according to the user’s requirements. With the proliferation of web services, demand for automatic web service discovery framework has increased to provide services highly rel...