Mining on K-way Means Clustered Streaming Data

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Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
Data mining is the process of finding patterns or correlations from a different data set and changing it into the useful information. Clustering is dividing the data into groups that are similar in behavior among the data sets in a group and distinct across the groups. Data stream mining is very important and challenging problem, because in business transactions the authors need to make better managerial choices and extract the essence of this streaming data where the data streams are temporally ordered, fast changing, large and continuous concurrent flow of data.
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