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As a pure electronic device the flash memory has many outstanding features, such as higher read-write speed, lower noise and better shock-resistance. Flash-based DBMS soon becomes the area that attracts the most attention. A Flash-based DBMS FDBMS1.0 is implemented by us. The index is very important to improve the efficiency of flash-based DBMS, and researchers have put forward many index algorithm...
To effectively solve results ranking of Meta- Search Engine problem, a text and position ranking algorithm based on sample weighted is proposed. On the full consideration of the structural information, the PageRank score is transformed into weight. Combined with text information and its position in the result list, adjustment of the local similarity is implemented, and relevant score of the result...
Traditional magnet disk is not likely to improve read and write speed, due to its physical characteristics. Solid State Drive (SSD) has much higher random write and read speed than a magnet disk, and the absence of moving parts also makes SSD consume less energy and noiseless. However, traditional database can't exert the high performance of SSD because of the different characteristics between magnetic...
In this paper the author presents a data mining model based ensemble methodology in medicine selling prediction. The ANN algorithm is utilized for feature selection, and some machine learning techniques are constructed for ensemble model in medicine best selling and best sell season prediction. The verification is conducted on the real cases from GuiYang ZhiFuTang Pharmacy Company Sell data which...
CBA is a classification algorithm integrating association rule mining and classification. CBA has been widely used in data mining areas because it has higher accuracy than C4.5. When the samples become more and more large and characteristic attributes become more and more numerous, CBA algorithm becomes much lower. In this paper, an improved CBA algorithm based on rough set is proposed. The improved...
Web classification is considered to be an important and challenging task, it has extracted more and more research work in recent years. Due to domain diversity and complexity, there remain many problems not solved. This work is focus on teaching Web page classification and a novel two-level classification model is proposed. Its processing including two steps: at first, the model employ global feature...
In this paper we present an analysis of the importance of cost sensitive methodology in medical disease prediction. And a C5.0 based cost sensitive ensemble approach is presented to support improving the effectiveness and decreasing the misdiagnosis cost in the same time. The verification is conducted on the real cases from Changhai Hospital Renal Registered (CHRR) data which consists of 483 records,...
A fuzzy clustering approach named CoSFuC was proposed in this paper for computer-aided diagnosis. Due to the predication in medical analysis was cost imbalance, and collects a large number of carefully labeled or diagnosed cases will be expensive, CoSFuC was emphasized on minimizing the misclassification cost instead of maximizing the classification accuracy, which also use the labeled and unlabeled...
Through the analysis of the information on the contents of the document which contained in title, abstract and keywords, find out which documents are more relativity with user's retrieval expectation, this paper adopted "document retrieval expected value" as be the indicator, builds the mathematical model for it, and then takes advantage of it to do the quantitative calculation for all documents...
Medical image based computer aided diagnosis is considers to be an important and challenging task, it has extracted more and more research work in recent years. Due to its interdisciplinarity and complexity, there remain many problems not solved. In this paper, a novel diagnosis method named SeCED is proposed, which utilized as the core mechanism of our medical image based computer aided encephalopathy...
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