Mining of data through various soft computing techniques

D. Srivastava, Rajeshwar Singh, Vikram Singh
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引用次数: 1

Abstract

We experience a daily reality such that we can be overpowered with data; in this manner it has turned out to be progressively critical to separate pertinent data from the unstable measure of information for. Information Mining is the iterative and intuitive procedure of finding substantial, novel, valuable, and justifiable examples or models in gigantic databases. Information Mining implies looking for important data in extensive volumes of information, utilizing investigation and examination, via programmed or self-loader implies, of expansive amounts of information so as to find significant examples and standards. Soft Computing (SC) alludes to methods of figuring in which accuracy is exchanged for tractability, heartiness and simplicity of usage. For the most part, SC encompasses the technologies of fuzzy logic, genetic algorithms, and neural networks, and it has emerged as an effective tool for dealing with data mining, control, modeling, and decision problems in complex systems. This is a review of the role of various soft-computing tools for different data mining tasks.We experience a daily reality such that we can be overpowered with data; in this manner it has turned out to be progressively critical to separate pertinent data from the unstable measure of information for. Information Mining is the iterative and intuitive procedure of finding substantial, novel, valuable, and justifiable examples or models in gigantic databases. Information Mining implies looking for important data in extensive volumes of information, utilizing investigation and examination, via programmed or self-loader implies, of expansive amounts of information so as to find significant examples and standards. Soft Computing (SC) alludes to methods of figuring in which accuracy is exchanged for tractability, heartiness and simplicity of usage. For the most part, SC encompasses the technologies of fuzzy logic, genetic algorithms, and neural networks, and it has emerged as an effective tool for dealing with data mining, control, modeling, and decision problems in complex systems. This is a review of t...
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通过各种软计算技术挖掘数据
我们所经历的日常现实是,我们可能被数据所压倒;以这种方式,将有关的数据与不稳定的信息测量分离开来已逐渐变得至关重要。信息挖掘是在庞大的数据库中寻找大量的、新颖的、有价值的和合理的例子或模型的迭代和直观的过程。信息挖掘意味着在大量的信息中寻找重要的数据,利用调查和检查,通过编程或自加载程序意味着,大量的信息,以找到重要的例子和标准。软计算(SC)指的是一种计算方法,在这种计算方法中,以准确性为交换的是可跟踪性、可靠性和使用的简单性。在大多数情况下,SC包含了模糊逻辑、遗传算法和神经网络技术,并且它已经成为处理复杂系统中的数据挖掘、控制、建模和决策问题的有效工具。本文回顾了各种软计算工具在不同数据挖掘任务中的作用。我们所经历的日常现实是,我们可能被数据所压倒;以这种方式,将有关的数据与不稳定的信息测量分离开来已逐渐变得至关重要。信息挖掘是在庞大的数据库中寻找大量的、新颖的、有价值的和合理的例子或模型的迭代和直观的过程。信息挖掘意味着在大量的信息中寻找重要的数据,利用调查和检查,通过编程或自加载程序意味着,大量的信息,以找到重要的例子和标准。软计算(SC)指的是一种计算方法,在这种计算方法中,以准确性为交换的是可跟踪性、可靠性和使用的简单性。在大多数情况下,SC包含了模糊逻辑、遗传算法和神经网络技术,并且它已经成为处理复杂系统中的数据挖掘、控制、建模和决策问题的有效工具。这是对……的回顾。
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