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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.

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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
Authors :
NameEmailORCID
Ganz, FUNSPECIFIEDUNSPECIFIED
Enshaeifar, SUNSPECIFIEDUNSPECIFIED
Puschmann, DUNSPECIFIEDUNSPECIFIED
Ahrabian, AUNSPECIFIEDUNSPECIFIED
Elsaleh, Tt.elsaleh@surrey.ac.ukUNSPECIFIED
Date : 2015
Grant Title : EU FP7 CityPulse/H2020 FIESTA
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:48
Last Modified : 17 May 2017 15:13
URI: http://epubs.surrey.ac.uk/id/eprint/840391

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