نتایج جستجو برای: داده کاویdata mining
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هدف از این مطالعه بررسی اثر آب تهی شده دوتریم (DDW) در غلظتهای مشخص بر روی سلولهای 29HT- و 480SW- بود. ردههای سلولی محیط RPMI حاوی مختلف DDW به مدت 24، 48 72 ساعت کشت داده شدند سپس درصد بقای روش سنجش سمیت مبتنی برMTT تعیین شد. یافتهها نقش توأم کاهش افزایش زمان تیمار را مهار رشد اثبات رساند. کمترین میزان برای طی با غلظت ppm 30 ترتیب 23% 37% دست آمد. جهت اثرات جانبی دوتریم، طبیعی 12C2C نیز ت...
clinical databases can be categorized as big data, include large quantities of information about patients and their medical conditions. analyzing the quantitative and qualitative clinical data in addition with discovering relationships among huge number of samples using data mining techniques could unveil hidden medical knowledge in terms of correlation and association of apparently independent...
classifying customers using data mining algorithms, enables banks to keep old customers loyality while attracting new ones. using decision tree as a data mining technique, we can optimize customer classification provided that the appropriate decision tree is selected. in this article we have presented an appropriate model to classify customers who use internet banking service. the model is deve...
this paper discusses some of the fundamental considerations when managing mining slopes. the goal of management is to reduce all components that contribute to the geotechnical risk and by doing so reduce the risk to as low as reasonably achievable. the techniques and procedures suggested are not exhaustive; they represent a snapshot of some of the practical techniques the author has found usefu...
background: today, with the development of technology, the presence and role of human resources has been highlighted in industrial environments. hence, the importance of safety culture is growing. mining is the one of the most dangerous occupations. therefore, this study was performed to determine the effect of health, safety, and environment management system (hse-ms) on safety climate in one ...
Mining can become more sustainable by developing and integrating economic, environmental, and social components. Among the mining industries, coal mining requires paying a serious attention to the aspects of sustainable development. Therefore, in this work, we investigate the impacting factors involved in the sustainable development of underground coal mining from the structural viewpoint. For ...
Background and aim: Four text mining methods are examined and focused on understanding and identifying their properties and limitations in subject discovery. Methodology: The study is an analytical review of the literature of text mining and topic modeling. Findings: LSA could be used to classify specific and unique topics in documents that address only a single topic. The other three text min...
Data mining is the process of discovering correlations, patterns, trends or relationships by searching through a large amount of data stored in repositories, corporate databases, and data warehouses. Industrial procedures with the help of engineers, managers, and other specialists, comprise a broad field and have many tools and techniques in their problem-solving arsenal. The purpose of this st...
process mining includes the automated discovery of petri nets from event logs. these event logs are the starting point for various discovery and analysis techniques of the process. in this paper process model is developed using colored petri nets (cpns) and the supporting software package cpn tools. the restaurant process model is represented for the analysis using a combination of process min...
purpose: this study wants to find any relationship between the numbers of purchase and the income the customer brings to the company. the attempt is to find those customers who buy more than one life insurance policy and represent the signs of good payments at the same time by the help of data mining tools. design/ methodology/ approach: the approach of this research is to use data mining tools...
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