Apprehension Overruled on Data Classification based on Mental Stress Vectoring

P. Indhumathi, K. Rajeswari
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Abstract

Data classification towards mining implies to find many factors to endure and sustain the real factors on the research problem. Many dangerous problematic issues are studied over them which are rolled out on the human life in their day-to-day activities especially for working employers in various sectors, for old people hearing suddenly unexpected news and which cause mental stress to them. The deep study of knowledge is involved to stabilize the importance to protect, prevent and predict the stress issues in detailed design manner. The main focusable approach to analysis the concern regarding manifold factors like age, type of diseases factorized highly with the cause and consequences to cure them by applying new research methods.
基于心理压力向量的数据分类的忧虑否决
面向挖掘的数据分类意味着要找到许多因素来支撑和支撑研究问题上的真实因素。他们研究了许多危险的问题,这些问题在他们的日常活动中对人类生活产生了影响,特别是对于各个部门的工作雇主,对于突然听到意想不到的消息并给他们造成精神压力的老年人。通过对相关知识的深入学习,明确了在详细设计中保护、预防和预测应力问题的重要性。主要集中分析年龄、疾病类型等多种因素引起的关注,并运用新的研究方法对其进行治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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