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Weighted or Non-Weighted Negative Tree Pattern Discovery from Sensor-Rich Environments


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Abstract

It seems to be sure that the IoT is one of promising potential topics today. Sensors are the one that lead the current IoT revolution. The advances of sensor-rich environments produce the massive volume of raw data that is enlarging faster than the rate at which it is being handled. JSON is a lightweight data-interchange format and preferred for IoT applications. Before JSON, XML was de factor standard format for interchanging data. The common point is that their structure scheme is the tree. Tree structure provides data exchangeability and heterogeneity, which encourages user-flexibilities. Therefore, JSON sensor format is an easy to use human readable format for storing and transmitting sensor values. However, it is more challenging than ever to discover valuable and hidden information from the continuously generated tree-structured data. In the paper, we define and suggest an original method to predict and evaluate from the tree-structured sensing data.


Keywords


Pages

Total Pages: 12

DOI
10.31209/2019.100000140


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Published

Online Article

JOURNAL INFORMATION


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)
Journal: 1995-Present




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