CSC 681 Capstone Discussion 6.1.docx - Data Mining Techniques in Parallel Distributed Environment In the old days to collect all the data related to a

CSC 681 Capstone Discussion 6.1.docx - Data Mining...

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Data Mining Techniques in Parallel Distributed Environment. In the old days, to collect all the data related to a topic that is spread out in different geographical locations was a costly and time consuming effort. A need for a program to help collect all the data at a lower cost was needed. Data mining applications was born. Data Mining has become an essential part of a distributed environment. Different organizations need to accumulate vast amounts of data from different databases around the world. Data Mining will be used to collect the data and store it in a centralized location. A benefit of data mining is finding the hidden information that normal software will find. Early on, a centralized approach was used to have all data kept in one location. Sequential algorithms were a common thing found. The second trend was parallelizing centralized algorithms. The last trend is distributed data mining where data mining techniques
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