The Knowledge Acquisition Toolkit – KAT (Extracting knowledge from sensor data)
Ganz, F, Enshaeifar, S, Puschmann, D, Ahrabian, A and Elsaleh, T (2015) The Knowledge Acquisition Toolkit – KAT (Extracting knowledge from sensor data) ICS/University of Surrey.
Full text not available from this repository.Abstract
Knowledge Acquisition Toolkit (KAT) is an open-source software that includes methods to process numerical sensory data. KAT is able to extract and represent human understandable and/or machine interpretable information from raw data. KAT includes a collection of algorithms for each step of the Internet of Things (IoT) data processing workflow ranging from data and signal pre-processing algorithms such as Frequency Filters, dimensionality reduction techniques such as Wavelet, FFT, SAX, and Feature Extraction and Abstraction and Inference methods such as Clustering. Figure 1 shows the steps of the process chain for processing cyber-physical data on the Web. KAT can be used to design and evaluate algorithms for sensor data that aim to extract and find new insights from the data.
Item Type: | Other | ||||||||||||||||||
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Date : | 2015 | ||||||||||||||||||
Grant Title : | EU FP7 CityPulse/H2020 FIESTA | ||||||||||||||||||
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Depositing User : | Symplectic Elements | ||||||||||||||||||
Date Deposited : | 17 May 2017 13:48 | ||||||||||||||||||
Last Modified : | 11 Dec 2018 11:23 | ||||||||||||||||||
URI: | http://epubs.surrey.ac.uk/id/eprint/840391 |
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