Data Stream Clustering in Internet of Things
نویسنده
چکیده
According to Gartner, by year 2020, revenue generated from Internet of Thing’s (IOT) products and services will exceed $300 billion. When discussing about IOT, the thing that keeps visiting our mind, is the huge amount of data stream that is getting generated by the use of IOT applications. The data stream is different from the traditional data as only one scan is possible for mining because of its dynamic processing as well as the stream continues to evolve. The massive data stream generated by IOT applications are considered of great importance and for extracting information,data mining algorithms can be applied to the generated data stream. Data stream clustering, one of the important technique of data mining is highly helpful in clustering the similar data objects and detecting outliers. The objective is to review the different data stream clustering algorithms that are used to perform clustering on the data stream generated by IOT applications.
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