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Recommender systems have proved to be an important response to the information overload problem, by providing users with more proactive and personalized information services. Collaborative filtering is the most popular method in implementing a recommender system. The Slope One algorithm, which is one of collaborative filtering algorithms, is not only easy to implement, but also efficient and effective...
Big data is cutting-edge technology extensively applied to enterprise management based on cloud computing, and it brings a brand-new perspective for enterprise crisis management. Using big data technology to collect, screen, analyze and apply data generated by enterprise crisis incidents and formulating and implementing data-driven enterprise crisis management strategies help to elevate level of enterprise...
With extensive application of MIS, MRP, ERP and other advanced enterprise management systems in various enterprises, informatization level and management level of enterprises have been continuously improved. Faced with increasingly fierce market competition, more and more enterprises recognize that acquisition, analysis, screening and application of data play significant roles in enterprise decision-making...
The advances of network technology and mobile communication technology are making eHealth possible. In eHealth systems, physiological data and relevant context-aware data are acquired continuously and in real time. At the same time, such large-scale data results in huge challenges in the aspect of real-time big data processing since eHealth data appears in the form of data stream. Therefore, we propose...
Detecting cancerous lesions is a major clinical application of emission tomography. In a previous work, we studied penalized maximum-likelihood (PML) image reconstruction for lesion detection in static PET. Here we extend our theoretical analysis of static PET reconstruction to dynamic PET. We study both the conventional indirect reconstruction and direct reconstruction for Patlak parametric image...
Detecting cancerous lesion is a major clinical application in emission tomography. In previous work, we have studied penalized maximum-likelihood (PML) image reconstruction for lesion detection in static PET. Here we extend our theoretical analysis of static PET reconstruction to dynamic PET. We study both the conventional indirect reconstruction and direct reconstruction for Patlak parametric image...
Currently semantic annotation is a key technology of data provenance tracing and a research focus. Semantic annotation provides users with rich semantic provenance information to meet tracing needs of different users, which can effectively improve the effectiveness and relevance of data provenance tracing. For meeting the needs of data provenance dependency analysis, a model of data provenance semantic...
Music industry is one of the traditional industries that is deeply influenced by the new computing strategy for big data. This paper aims to discuss a new solution for the digital music dissemination in big data era. By analyzing the features of big data, the key points of digital music dissemination and the participants in this industry, we put forward a dissemination model for digital music and...
The existing service selection methods consideration trust, basically consider the trust of QoS. In fact, the trust of service selection is not only about that of QoS, but the trust of the output data of Web service. However, the trust of the output data is related with the input data of Web service and the treating process of output data, that is to say, the trust of output data is related to the...
In distributed environment, in order to manage and share data resources better, tracking the origin and evolution of the data is needed to obtain the data provenance information, used to judge the quality and credibility of the data. In order to provide the framework basis which is used to analyze the dependent relationships of data provenance, a tracking framework for distributed environment based...
By analyzing the problem and key technology about integration of heterogeneous database, a distributed database integration model with global schema based on multi-agent technology is proposed. Firstly, distributed database (DDB) global schema and fragment and assignment schema are designed according to actual instance of production organization. Secondly, multi-agent system of administration architecture...
Analyzing the problem and key technology about integration of heterogeneity database, a distributed database integration model with global schema based on multi-agent technology is put forward. Firstly, DDB global schema and fragment and assign schema is designed according to actual instance of production organization. Secondly, multi-agent system of administration architecture is designed. Thirdly,...
Traffic congestion in urban areas is posing many challenges, and a traffic flow model that accurately predicts traffic conditions can be useful in responding to them. With the limitation of infrastructure and the difficulty for real world experiment, traffic simulation is a good tool for the validation and future potential applications of the traffic flow model. This research presents a stochastic...
The explosion in social networking sites allows people interact with friends on web more frequently and easily. Thus, applications on social networking such like the social networking advertising have been regarded as a wonderful opportunity for marketing. In this study, we try to simulate the content sharing behavior in social networking sites and we optimize simulation parameters by using evolution...
In view of the shortcomings of traditional distributed technologies such as CORBA, DCOM +, J2EE in achieving information sharing and exchange among autonomy, distributed, heterogeneous data sources, a U-B-M three-layer information integration architecture is presented. This architecture is applied to information integration platform for gas fields with MAS, the virtual data center framework based...
To solve the interoperability is sure between mobile agent and struts 2, Combining the advantages of both, a new Aglet-struts 2 integrated development framework based on MVC is proposed. This framework integrates mobile agent with struts 2 control action, JSP view and java Bean model in together by the aglet action service proxy, and achieves transparent access to database by persistent layer Hiberanate...
Aiming to increase the proportion of the samples that has been determinate classified in Naive Credal Classifier, this paper improves conservative inference rule and proposes an incomplete data classification model based on relaxed conservative inference rule. Simulation results of comparative experiment with Naive Bayesian Classifier and Naive Credal Classifier verify the effectiveness of this classification...
To further improve the urban and rural medical assistance system and make it much more convenient in the emergent case, we designed and developed a real-time medical assistance billing system for Linchuan county civil affairs bureau. This system consists of two medical assistance models, one of which is real-time assistance model that realizes a “seamless combination” of the civil affairs assistance...
In order to access heterogeneous databases more conveniently, more flexibly and faster, based on the ideas of CSCW, Mobile-Agent technology and distributed computing technology, a new distributed data access model based on Multi-Task Cooperative mobile-Agent is presented. This model describes the general framework, the distribution of Agents and the function of agents. Finally, the model was applied...
The fractal theory is beginning from the 1970s, which take the geometrical morphology with the characteristics of non-regular and self-similar in nature and real life as the research object. Application field of this model is very extensive, and in economic management, as commodity price exhibits the characteristics of non-regular and self-similar to a certain extent, so this model is used as new...
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