Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"Knowledge discovery techniques"”.
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Computational knowledge discovery techniques and their application to options market databases
… of data to be analysed. A new generation of techniques for pattern recognition in large datasets has evolved, collectively termed 'computational knowledge discovery techniques' in this work. Preliminary evidence suggests that certain of these techniques are superior to parametric approaches …
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Contributions to Engineering Big Data Transformation, Visualisation and Analytics. Adapted Knowledge Discovery Techniques for Multiple Inconsistent Heterogeneous Data in the Domain of Engine Testing
… methods. Moreover, the absence of a tailored knowledge discovery process hinders effective preprocessing, transformation, analytics, and visualization of data, restricting the potential for historical data insights. Another challenge arises from the heterogeneous nature of test structures, …
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A new model for worm detection and response. Development and evaluation of a new model based on knowledge discovery and data mining techniques to detect and respond to worm infection by integrating incident response, security metrics and apoptosis.
… have been improved and a range of sophisticated techniques have been integrated, which make the detection and response processes much harder and longer than in the past. Therefore, in this thesis, a STAKCERT (Starter Kit for Computer Emergency Response Team) model is built to detect worms attack …
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An expert advisor system for college management.
… of the CommonKADS methodology. Technologies and techniques to be used in the development of the Expert Advisor System have also been reviewed and justification has been provided for incorporating Case-Based Reasoning and Data Warehousing. The analysis, design and development of the system has …
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The use of knowledge discovery databases in the identification of patients with colorectal cancer
… symptom questionnaire in conjunction with knowledge discovery techniques such as data mining and artificial neural networks could identify patients at risk of colorectal cancer and therefore warrant urgent further assessment. Artificial neural networks and data mining methods are used …