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A New Approach for Knowledge Discovery in Distributed Databases Using Fragmented Data Storage Model
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作者 Masoud Pesaran Behbahani Islam Choudhury Souheil Khaddaj 《Chinese Business Review》 2013年第12期834-845,共12页
Since the early 1990, significant progress in database technology has provided new platform for emerging new dimensions of data engineering. New models were introduced to utilize the data sets stored in the new genera... Since the early 1990, significant progress in database technology has provided new platform for emerging new dimensions of data engineering. New models were introduced to utilize the data sets stored in the new generations of databases. These models have a deep impact on evolving decision-support systems. But they suffer a variety of practical problems while accessing real-world data sources. Specifically a type of data storage model based on data distribution theory has been increasingly used in recent years by large-scale enterprises, while it is not compatible with existing decision-support models. This data storage model stores the data in different geographical sites where they are more regularly accessed. This leads to considerably less inter-site data transfer that can reduce data security issues in some circumstances and also significantly improve data manipulation transactions speed. The aim of this paper is to propose a new approach for supporting proactive decision-making that utilizes a workable data source management methodology. The new model can effectively organize and use complex data sources, even when they are distributed in different sites in a fragmented form. At the same time, the new model provides a very high level of intellectual management decision-support by intelligent use of the data collections through utilizing new smart methods in synthesizing useful knowledge. The results of an empirical study to evaluate the model are provided. 展开更多
关键词 data mining decision-support system distributed databases knowledge discovery in database (KDD)
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Human Body Information Database and Method of Application
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作者 ZHANG Li LI Yanmei 《International English Education Research》 2016年第7期112-114,共3页
This paper elaborate the emergence of human information database and the important role it plays in the various industries of economic development. It also interpret the primary human information database of current d... This paper elaborate the emergence of human information database and the important role it plays in the various industries of economic development. It also interpret the primary human information database of current domestic and abroad and analysis it's classification characteristic, Besides, this papers further explains how to make use of human information database and how to make the database to play its due value. In the end, the prospect of our country's body information database has been set forth, using relatively mature foreign database to improve Chinese body information database. 展开更多
关键词 database human body information data mining knowledge discovery in database
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Rule Extraction from Trained Artificial Neural Network Based on Genetic Algorithm
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作者 WANGWen-jian ZHANGLi-xia 《Systems Science and Systems Engineering》 CSCD 2002年第2期240-245,共6页
This paper discusses how to extract symbolic rules from trained artificial neural network (ANN) in domains involving classification using genetic algorithms (GA). Previous methods based on an exhaustive analysis of ne... This paper discusses how to extract symbolic rules from trained artificial neural network (ANN) in domains involving classification using genetic algorithms (GA). Previous methods based on an exhaustive analysis of network connections and output values have already been demonstrated to be intractable in that the scale-up factor increases with the number of nodes and connections in the network. Some experiments explaining effectiveness of the presented method are given as well. 展开更多
关键词 rule extraction neural network genetic algorithm knowledge discovery in database(KDD) data mining(DM)
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