Traditional Data Mining Applications Essay

599 Words3 Pages
Application exploration: Traditional data mining applications had a great deal of attention on helping business gain well than others of a comparable nature. Data mining is explored to an increasing extent in areas such as financial analysis, telecommunications, biomedicines, science and also for counterterrorism and mobile (wireless) data mining. Scalable and interactive data mining methods: Data mining must be able to handle large amount of data efficiently and interactively apart from the existing data analysis methods. Constraint based data mining helps user to guide data mining systems in their search for interesting pattern. Integration of data mining with database systems, data warehouse and Web database systems: Data mining…show more content…
It is further expected to develop data mining methodologies for software debugging to ensure software robustness. Web mining: One of the great significant and rapidly developing subfields in data mining includes web content mining, weblog mining, data mining services on the internet and the significance of the role played by web in today’s society. Distributed data mining: Early data mining methodologies did not go well with most of the distributed computing environments like internet, intranets, local area networks, sensor network. Looking forward in the progress of distributed data mining methods Real-time or time-critical data mining: Dynamic data mining models need to be constructed in real time for applications involving stream data such as e-commerce, web mining, stock analysis, intrusion detection & mobile data mining. Graph mining, link analysis, and social network analysis: Sequential, topological, geometric and other scientific data sets are captured with the help of Graph mining, link analysis and social network analysis. It is challenge for data mining to develop efficient graph and linkage models. Multirelational and multidatabase data mining: Searching of patterns in multiple tables from a relational database refers to Multirelational data mining method. Searching Multiple database for patterns refer to Multidatabase mining. Expecting effective and efficient data mining
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