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This paper reports on an innovative approach that aims to reduce information management costs in data-intensive and cognitively-complex biomedical environments. Recognizing the importance of prominent high-performance computing paradigms and large data processing technologies as well as collaboration support systems to remedy data-intensive issues, it adopts a hybrid approach by building on the synergy...
Extended Classifier System (XCS) has been proved to be a fine classifier for pattern recognition tasks and was adopted as a popular research tool for several active research fields. During the progress of developing XCS, several versions of XCS such as XCS with real value attribute (XCSR), XCS with additional memory (XCSM) and parallel XCS (DXCS), XCS as function approximator (XCSF) have been proposed...
An essential part in the construction of a mental picture of a situation is our ability to represent, assess and judge on the skill and competency level of a player, an agent, or any entity that makes decisions. Augmented with a suitable reasoning framework, this ability would allow us to diagnose the competency level of a player through real-time monitoring of their actions. The first key question...
As an important part of enterprise management performance evaluation, there is a large number of data which reflect the performance situation of employee not to be good to order and to use. So, Enterprises need tools what can automatically extract useful information from the data hiding from the database and sum up the internal law to solve this problem. The paper describes the basic theory of data...
Sensors are being deployed to improve border security generating enormous collections of data and databases. Unfortunately these sensors can respond to a variety of stimuli, sometimes reacting to meaningful events and sometimes triggered by random events which are considered false alarms. The intent of this project is to supplement human intelligence in a sensor network framework that can assist in...
Ambient information environments will lead to a large degree of interactions among the environment and human users through integrating heterogeneous services, devices, and networking elements. The main goal of such systems is to provide users with services they desire and improve their living situation. Generating ambient environments faces several challenges, such as designing the appropriate platforms...
In order to make Knowledge Management play its active role to improve working efficiency and support making decision in E-Commerce enterprises, this paper firstly introduced the prominent role of Knowledge Management in E-Commerce enterprises, then it adopted Web Mining to Knowledge Management in E-Commerce enterprises. And the purpose of this study can be boiled down into implementing Web Mining...
Concerning the description of strengthening effect of project generation to the management consulting process, according to MCS(Management Consulting System) model proposed by Liang Gefu(2004). the paper will discuss it from five parts. 1. The directional role of project generation can intensify consulting goal. 2. A reasonable human-to-machine division of labor make sure the efficiency of exploiting...
Real-world data mining is a complex problem-solving system. In real data mining applications, more and more researchers realized the need from traditional data mining to knowledge discovery to deliver useful knowledge for the business decision-making. Thus, actionable knowledge discovery is introduced during the context. This study draws on analysis of the applications of actionable knowledge discovery...
System complexity has reached a level where it is hard to apply existing information analysis methods to automatically derive appropriate decisions. Building automation is on the verge of being unable to extract relevant information and control a building accordingly. Many different industries in today's automation could provide information by means of different sensors, but the ability to integrate...
How can individual difference in information processing promote cooperation in group interaction? In current study, two types of social dilemmas, give-some dilemmas and take-some dilemmas were compared and then explained from the perspective of information processing theory. It was proposed that the difference of cooperative levels between take-some and give-some dilemmas would disappear once people...
Leadership style in service enterprises can significantly affect service innovation. This paper takes psychological empowerment and staffs' satisfaction as intermediary variables to study the relationship between leadership style and service innovation. We find that humane care and knowledge aid in leadership style can affect psychological empowerment and staffs' satisfaction positively, leaders'...
During panic situation, it is not necessarily the crowd will act as a `crowd' but rather as a group of individual. As part of the crowd in panic situation, there will be a group of individuals who will act accordingly like following leader, relatives or friends. The existing crowd behaviour theories in panic situation comprise of not only panic theory itself but also include decision-making theory...
Personnel evaluation and selection is a very important activity for the enterprises. Different job needs different ability and the requirement of criteria which can measure ability is different. It needs a suitable and flexible method to evaluate the performance of each candidate according to different requirement of different job respect to each criterion. PROMETHEE is a ranking method quite simple...
During the process of society aging, the unnecessary resource consumption due to the design differences for different aging populations has increased rapidly. Taking this as a background, the study on universal design is aimed to integrate and expand products' user population, improve product efficiency and optimize the usage of resources. The study in this specific field hopes to help enterprises...
With the rapid development of information technology, many applications have to deal with potentially infinite data streams. In such a dynamic context, storing the whole data stream history is unfeasible and providing a high-quality summary is required for decision makers. A practical and consistent summarization method is the extraction of the frequent itemsets over temporal windows. Nevertheless,...
We discuss a conceptually new extension of our previous works in which we proposed a concept of a consensus reaching support system based on a new, gradual notion of consensus devised in the framework of fuzzy preference relations and a fuzzy majority. Here, first of all, we propose the use of action rules as a tool to generate some advice as to the further running of discussion in the group. Moreover,...
In our living environments today, computer networks, computing devices, sensors and many other entities produce a large amount of data to be processed. This data comprise, for example, digital media content, news, computational resources like services, and much more. To be able to exploit this data, a (human or computer) user may utilize digital assistants. In this paper, we present such an assistant...
This paper introduces a new decision making criteria by which the region of interest (ROI) is selected and evaluated. This criterion is based on human psychology of relevance in visual perception. The experimental results are validated by comparing with eye tracker system and human evaluation measured by subjective correlation value for each ROI.
This paper describes an attempt to devise a knowledge discovery model that is inspired from the two theoretical frameworks of selectionism and constructivism in human cognitive learning. The "selectionist" nature of human decision making indicates the use of an evolutionary paradigm for composing rudimentary neural network units, while the "constructivist" component takes the form...
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