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“Who are the strongest European competitors on software ideas? Who is the best doctor to cure insomnia in a nearby hospital? Where can I attend an interesting conference in my field closest to a sunny beach?" This information is available on the Web, but no software system can accept such queries nor compute the answer. We hereby propose search computing as a new multi-disciplinary science which...
Swarm intelligence is the discipline that deals with natural and artificial systems composed of many individuals that coordinate using decentralized control and self-organization. In particular, it focuses on the collective behaviors that result from the local interactions of the individuals with each other and with their environment. The characterizing property of a swarm intelligence system is its...
Teams are a form of organizational structure where the team members engage in information exchanges in order to fulfill team goals. The activities that the team engages in are inter-dependent and usually involve gathering, interpreting and exchanging information; creating and identifying alternative courses of action; choosing among alternatives by considering different viewpoints of team members;...
Data mining is the process of posing queries and extracting patterns, often previously unknown from large quantities of data using pattern matching or other reasoning techniques. Data mining has many applications in security including for national security as well as for cyber security. The threats to national security include attacking buildings, destroying critical infrastructures such as power...
The recent development of Web 2.0 has provided an enormous increase in human interactions across all corners of the earth. One manifestation of this is the growth of computer mediated social networks. Many notable Web 2.0 applications such as Facebook, Myspace and LinkedIn are social networks. Relational networks are becoming an important technology for modeling these types of social networks and...
Trading agents are useful for developing and back-testing quality trading strategies for taking actions in the real world. The existing trading agent research mainly focuses on simulation using artificial data. As a result, the actionable capability of developed trading strategies is often limited, and the trading agents therefore lack power. Actionable trading strategies can empower trading agents...
In the early stage of artificial intelligence (AI), AI very closed to then modern cognitive psychology based on the recognition that both computer and human brain are information processing machines meeting the requirements to show intelligence. It seems that the similar trend appears again today between Web Intelligence (WI) and Brain Informatics (BI) based on the recognition that both World Wide...
Although they have small-world and searchable characteristics, social networks always protect local structure which makes local search very hard. Social networks not only have power-law distribution, but also have higher connectivity or clustering characteristics. Meanwhile, several social networks are weighted and directed. Hence we should utilize these extra information. In this paper, we propose...
Recommender systems are wide-spread web applications which can effectively support users in finding suitable products in a large and/or complex product domain. Although state-of-the-art systems manage to accomplish the task of finding and presenting suitable products they show big deficits in the applied model of human behavior. Time limitations, cognitive capacities, and willingness to cognitive...
In order to build accurate target profiles, most definition question answering (QA) systems primarily involve utilizing various external resources, such as WordNet, Wikipedia, Biograpy.com, etc. However, these external resources are not always available or helpful when answering definition questions. In contrast, this paper proposes an unsupervised classification model, called the U-Model, which can...
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