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Medical search technologies are crucial to enable the user to rapidly and effectively discover useful information from massive medical and clinical data. Because of the complexity of medical terminology, traditional information search methods have not fully expressed the intention of the query request and explored the potential semantic knowledge in the document. In this paper, we propose a multi-analysis...
In crowdsourced testing, it is beneficial to automatically classify the test reports that actually reveal a fault – a true fault, from the large number of test reports submitted by crowd workers. Most of the existing approaches toward this task simply leverage historical data to train a machine learning classifier and classify the new incoming reports. However, our observation on real industrial data...
Crowdsourcing is a distributed problem-solving and production model. It takes advantage of the internet technology, helps enterprises save cost and improve efficiency. However, uncertain quality is a significant challenge for crowdsourcing. On the basis of the existing literatures, this paper proposes 23 software quality factors from two aspects: platform and project. By using multiple regression...
As healthcare data is quite valuable to many organizations for scientific research or analysis, the demand of sharing healthcare data have been growing rapidly. Nevertheless, health care data usually contains a lot of patient privacy. Sharing that data directly would bring huge threaten to patient privacy. It's necessary to develop practical methods to balance health care data sharing and privacy...
Software maintenance effort constitutes a major portion of the software lifecycle effort. Its estimation is vital for successful project planning and strategic resource allocation. In this paper, we conduct and report an industrial case study in this field. The data set was collected from an industrial software process management tool QONE (formerly SoftPM). The methodology proposed provides corresponding...
Based on the former researches by minimum method on the impacts of the ecological impact factors (water depth, water temperature, substrate, et al) on suitability indices of adult fish growth, spawning and hatch, we calculate the habitat suitability indices by the parallel method, and use different simulation equations (polynomial equation, exponential equation, logistic equation, et al) to compare...
The prediction of the dominant migration pathways of oil and gas migration is a key issue. The article starts from the parametric comprehensive analysis of the controlling factors such as transport system, energy field, etc. Through the establishment of the quantitative relationship between the various parameters and the dominant migration pathways, we use spatial analysis methods after the conversion...
In the present study we reported the feasibility of extra cellular biopolymer( PFC02) produced by Pseudomonas alcaligenes as an alternative biosorbent to remove Co(II) metallic ions from environmental and industrial wastewater. The effects such as pH, dosage of biosorbent, Co(II) initial concentration and sorbate-sorbent contact time and agitating speed on the adsorption capacities of PFC02 were studied...
The prediction of software defect-fixing effort is important for strategic resource allocation and software quality management. Machine learning techniques have become very popular in addressing this problem and many related prediction models have been proposed. However, almost every model today faces a challenging issue of demonstrating satisfactory prediction accuracy and meaningful prediction results...
By means of analyzing Yong's minimax portfolio selection model, a novel risk function is introduced with risk measure considering risk and extra return factors. The risk factor can tune the effects of asset yield on the investment decision, and the extra return factor can control the effects of assets portfolio's margin on the investment decision. Furthermore, an assets portfolio optimization model...
Based on the analysis of minimax portfolio selection model proposed by Yong, a new risk function is designed with risk factor and extra return factor. The risk factor is used to adjust the effect of asset return level on the investment decision, and the extra return factor is for controlling the effect of portfolio promising profits on the investment decision. Furthermore, a portfolio selection model...
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