Titlebook: Advanced Approaches to Intelligent Information and Database Systems; Janusz Sobecki,Veera Boonjing,Suphamit Chittayasot Book 2014 Springer

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书目名称Advanced Approaches to Intelligent Information and Database Systems影响因子(影响力)




书目名称Advanced Approaches to Intelligent Information and Database Systems影响因子(影响力)学科排名




书目名称Advanced Approaches to Intelligent Information and Database Systems网络公开度




书目名称Advanced Approaches to Intelligent Information and Database Systems网络公开度学科排名




书目名称Advanced Approaches to Intelligent Information and Database Systems被引频次




书目名称Advanced Approaches to Intelligent Information and Database Systems被引频次学科排名




书目名称Advanced Approaches to Intelligent Information and Database Systems年度引用




书目名称Advanced Approaches to Intelligent Information and Database Systems年度引用学科排名




书目名称Advanced Approaches to Intelligent Information and Database Systems读者反馈




书目名称Advanced Approaches to Intelligent Information and Database Systems读者反馈学科排名

Dignant

阻挡

https://doi.org/10.1007/978-1-4302-4933-7t and her location-based social network for providing recommendations using a method based on association rules mining. The context is considered at multiple levels: first in selecting the interesting rules following to the current session of visits of the user; then into a relevance measure contain

晚间

不开心

ASP.NET Controls and jQuery Selectors,ivered on time. Configuration of ERP based on questionnaires and/or interviews is time consuming and expensive, especially because many answers should be checked and corrected by ERP consultants. Supervised learning algorithms can thus be useful to automatically detect wrong and correct answers. Com

macular-edema

Beginning the Linux Command Lineing, from collecting agents’ opinions, recognition of possible conflict status, and through a joint final decision. Our approach is to specify a novel structure for classifying conflict states in decision-making in which related factors, such as number of conflicting agents, agent’s confidence level

胶状

DECRY

Administering the Linux File System, an optimization problem. In such a case the minimized objective function is a measure of the discrepancy between the model solution and available measurements. This paper presents the ADFIT program — a tool for numerical parameter estimation for models that contain systems of non-linear ordinary di

Bravura

https://doi.org/10.1007/978-3-319-05503-9Computational Intelligence; Intelligent Database Systems; Intelligent Information Systems

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