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The studies on the TDN (time-dependent network), in which the travel time of the same road segment varies depending on the time of the day, have attracted much attention of researchers, but there is little work focusing on the travel time functions prediction problem. Though traditional methods for travel time or travel speed prediction problem can be used to generate the travel time functions, they...
The probabilistic group nearest neighbor(PGNN) query , which returns all the uncertain objects whose probabilities of being the group nearest neighbor (GNN) results exceed a user-specified threshold, is widely used in uncertain database. Most existing work for answering PGNN queries adopted a general framework which consist of three phases: spatial pruning, probabilistic pruning, refinement. In the...
Many special requirements in on-line analytical processing and data mining need to access the historical available data of data warehouse. The computing performance is related to the analytical data reconstruction. We first analyze the differences between historical and current available data in data warehouse due to the time causation, and then advance the code equivalence and code coincidence. The...
Considering the self-restriction of computer system, the usability of data warehouse, the executing efficiency of on-line analytical processing and data mining and the user’s special demands in future, it is necessary to create a historical available data backup in data warehouse in which there is a mass of data has been saved. This is the first of the companion papers in which introduces the necessity...
In this paper, we develop a high performance algorithm which is adapted to uncertainty computing and give a new combination rules coming from the D–S and supply a gap that Dempster ignoranced. The evidence sources are adapted in different cases. The credibility of the evidence changes along with the different focus element. So, we give various credibility for every focus element to increase precision...
Trust relationship and assessment are two challenges of constructing large scale trust network for web viral marketing applications. Because different customers have different needs and expectations in different aspects of the service and due to the customer's self-property, trading amount, trading time, trading evaluation and trading risk perception factors, etc. The trust assessment among customers...
The core group of mining and its marketing strategy are important parts in the research of web viral marketing(WVM). Since the existing marketing mechanisms can not fully take into account the key role of core group in the marketing process, the paper proposes a WVM core group marketing strategy (CGMS) to tackle this problem. CGMS overcomes the traditional marketing strategies' shortcomings which...
In traditional e-commerce websites, social tags are used in product classification only, and not applied in the domain of personalized recommendation technology. In this paper, we propose a personalized recommendation model based on social tags. We build a user interest model for products by reflecting user interest and product features directly through social tags, and optimize the interest model...
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