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Intelligent Data Mining in Autonomous Heterogeneous Distributed Bio Databases

机译:自主异构分布式生物数据库中的智能数据挖掘

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A few years ago there is revolutionary change in data mining and bioinformatics. Data mining techniques and tools play important role in field of bioinformatics. It is very useful to use data mining techniques to evaluate and analyze bio-medical data. In this paper authors purpose a frame work for intelligent data mining system for bio databases. This system allows scientist to apply bio data analysis data mining techniques intelligently on bio data as well as their proprietary data. System first extracts the relevant, useful, valid and actionable data from bio databases. Bio databases is often autonomous heterogeneous and distributed in nature. The extracted data is preprocessed. After preprocessing, data mining techniques are applied on preprocessed data, local data as well as proprietary data. Then the mined knowledge is integrated with expert system knowledge to assist researchers and scientists in their research work and crucial decision making process.
机译:几年前,数据挖掘和生物信息学具有革命性的变化。数据挖掘技术和工具在生物信息学领域发挥着重要作用。使用数据挖掘技术来评估和分析生物医疗数据是非常有用的。在本文中,作者目的是生物数据库智能数据挖掘系统的帧工作。该系统允许科学家在生物数据以及其专有数据上智能地应用Bio数据分析数据挖掘技术。系统首先从生物数据库中提取相关的,有用,有效和可操作的数据。生物数据库通常是自主异构的,并且本质上分发。提取的数据是预处理的。在预处理后,数据挖掘技术应用于预处理数据,本地数据以及专有数据。然后,挖掘知识与专家系统知识集成,以协助研究人员和科学家在他们的研究工作和关键决策过程中。

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