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- W2396543992 abstract "Big data is an magical term that describes a collection of data sets which are large and complex, growing data sets with multiple, autonomous sources , it contain structured and unstructured both type of data. Anyway big data doesn't refer to any specific quantity, since data comes from everywhere, so useful data can be extracted from this big data with the help of data mining. This paper presents a HACE theorem that characterizes the features of the Big data revolution, and proposes a Big data processing model, from the data mining perspective. Data mining is a technique for discovering the patterns as well as descriptive, understandable models from large scale data. Here I analyze the challenging issues and the features of the Big data revolution" @default.
- W2396543992 created "2016-06-24" @default.
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- W2396543992 date "2015-07-27" @default.
- W2396543992 modified "2023-09-26" @default.
- W2396543992 title "A Study on Effective Business Logic Approachfor Big Data Mining" @default.
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- W2396543992 doi "https://doi.org/10.15680/ijircce.2015.0304098" @default.
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