Designing a Model to Study Data Mining in Distributed Environment
Designing a Model to Study Data Mining in Distributed Environment作者机构：School of Business & Tourism Southern Cross University Sydney Australia Department of Computer Science & Engineering Daffodil Institute of Science & Technology Dhaka Bangladesh
出 版 物：《Journal of Data Analysis and Information Processing》 (数据分析和信息处理（英文）)
年 卷 期：2021年第9卷第1期
页 面：23-29页
学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
主 题：Data Mining Distributed Database Knowledge Discovery Classification Algorithm
摘 要：To make business policy, market analysis, corporate decision, fraud detection, etc., we have to analyze and work with huge amount of data. Generally, such data are taken from different sources. Researchers are using data mining to perform such tasks. Data mining techniques are used to find hidden information from large data source. Data mining is using for various fields: Artificial intelligence, Bank, health and medical, corruption, legal issues, corporate business, marketing, etc. Special interest is given to associate rules, data mining algorithms, decision tree and distributed approach. Data is becoming larger and spreading geographically. So it is difficult to find better result from only a central data source. For knowledge discovery, we have to work with distributed database. On the other hand, security and privacy considerations are also another factor for de-motivation of working with centralized data. For this reason, distributed database is essential for future processing. In this paper, we have proposed a framework to study data mining in distributed environment. The paper presents a framework to bring out actionable knowledge. We have shown some level by which we can generate actionable knowledge. Possible tools and technique for these levels are discussed.
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