Introduces a frame metadata model to facilitate the continuous association rules of Web transactions. A new set of association rules can be derived with the updating of the Web log file by the Web transactions in the ...
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Introduces a frame metadata model to facilitate the continuous association rules of Web transactions. A new set of association rules can be derived with the updating of the Web log file by the Web transactions in the frame metadata model. This model consists of two types of classes: static classes and active classes. The static classes describe the Web transactions of the association rule table. The active classes are event-driven, obtaining Web transactions when invoked by a certain event. Whenever an update occurs in the existing Web transactions in the Web log file, a corresponding update is invoked by an event attribute in the method class which computes the association rules continuously. The result is active Web mining that is capable of deriving association rules of Web transactions continuously or incrementally using the frame metadata model.
In most accounts of common-sense reasoning, only the most preferred among models supplied by the evidence are retaiined (and the rest eUminated) in order to enheince the inferential prowess. One problem with this stra...
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Diagrammatic reasoning comprises phenomena that range from the so-called "free-rides" (e.g. almost immediate understanding of visually perceived relationships) to conventions about tokens. Such reasoning mus...
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Diagrammatic reasoning comprises phenomena that range from the so-called "free-rides" (e.g. almost immediate understanding of visually perceived relationships) to conventions about tokens. Such reasoning must involve cognitive processes that are highly perceptual in content. In the domain of mathematical proofs where diagrams have had a long history, we have an opportunity to investigate in detail and in a controlled setting the various perceptual devices and cognitive processes that facilitate diagrammatically based arguments. This paper continues recent work by examining two kinds of diagrammatic proofs, called Categories 1 and 3 by Jamnik, et. al. 97], the first being one in which generalization of a diagram instance is implied, and the second being one in which an infinite completion is represented by an ellipsis. We provide explanations of why these proofs work, a semantics for ellipses, and conjectures about the underlying cognitive processes that seem to resonate with such proofs.
Present day electromechanical product design requires multi disciplinary design teams who have to perform complex synthesis, analysis, and control tasks to ensure desirable functional and performance characteristics f...
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knowledge selection (KS) is a completely new method, which was developed at the department of knowledgeengineering of the University of Vienna, aiming at selecting relevant knowledge out of a knowledge base for a par...
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knowledge selection (KS) is a completely new method, which was developed at the department of knowledgeengineering of the University of Vienna, aiming at selecting relevant knowledge out of a knowledge base for a particular task. This method is important for supporting the efficient (re-)use of knowledge in knowledge management systems. KS is realised by three filters: identification selects knowledge items according to syntactical properties of the query; adaption uses background knowledge for the filtering; and prediction tries to predict future queries for a small number of time steps. In this paper neural network solutions for KS together with an KS-implementation in the area of computer security is presented.
The agent-oriented paradigm is widely used for developing flexible information systems. Intelligent agents such as soccer agents decide autonomously their actions according to the information they can obtain. The more...
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The agent-oriented paradigm is widely used for developing flexible information systems. Intelligent agents such as soccer agents decide autonomously their actions according to the information they can obtain. The more information they can get, the more appropriate action they can decide. However, the agents usually run in a real-time environment, and they can not obtain the complete information that they require. For example, a soccer player may lose and quantize some visible data about the placement of either the players or the ball. In this case, the player has to decide its behaviors according to incomplete and even unreliable information. Hence, it is an important for intelligent agents to complete some lost information according to the history of their behaviors. In the paper, we design a temporal database for the soccer agents to record the history of the behaviors of all objects. While the new information comes, the database can complete and correct them by itself according to the temporal information stored in the database. For example, when a soccer agent loses the exact location of the ball at time t, the agent can infer from the location of the ball and the closest player at time t-1 that are recorded in the database. This way, the agents can behave more exactly than those without the temporal information. Furthermore, we implemented the soccer agents with the database, and experiments showed that the database can complete information for the soccer agents in real time.
In a computer aided design (CAD) system, shape design or shape modeling is one often a bottleneck because shape design is a trial and error process often depending on a designer's intuition and experience. Authors...
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In a computer aided design (CAD) system, shape design or shape modeling is one often a bottleneck because shape design is a trial and error process often depending on a designer's intuition and experience. Authors have already presented a method, named evolutional shape modeling (ESM), to generate suitable shapes automatically using genetic algorithm (GA) and free-form deformation (FFD). This ESM method, however, has a limitation on its ability of shape generation because of the limitation on FFD's shape deformation ability and the limitation on standard GA's ability. This paper proposes a new evolutional shape modeling method. It includes new genetic algorithm, named multistep GA, which can avoid premature convergence, and new constructing method of FFD by which shape deformation ability is highly improved.
Fuzzy set approaches are particularly suitable for issues of modeling uncertainty in spatial data. The authors survey where and how uncertainty may appear in spatial data. They consider the issues involved in developi...
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Fuzzy set approaches are particularly suitable for issues of modeling uncertainty in spatial data. The authors survey where and how uncertainty may appear in spatial data. They consider the issues involved in developing the modeling of uncertain spatial data in the framework of object-oriented databases. Finally they outline the issues in an approach for implementing fuzzy spatial queries in a commercially available object-oriented database.
007, an intelligent modeling assistant, helps users formulate explicit, testable requirements and assess the current model. It then executes generic repair plans and revises the model until requirements are met.
007, an intelligent modeling assistant, helps users formulate explicit, testable requirements and assess the current model. It then executes generic repair plans and revises the model until requirements are met.
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