Signal Preprocessing for Context Inference in the Data Stream Environment

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Provided by: Science & Engineering Research Support soCiety (SERSC)
Topic: Data Management
Format: PDF
Big data in the form of streaming, the data stream mining, has received a great deal of attention for some time. With disparate multiple sensors, sensors are able to gentrify the information they want to acquire. In this paper, the ways to encode a wide range of sensor data that is continuously reported is proposed. These encoding methods enable higher level analysis than identify the frequent pattern or association rules. It is essential that sensors are distributed and extract various and detailed information about the context that was sensed.
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