Searched for: author%3A%22Tillem%2C+G.%22
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document
Tillem, G. (author)
The enhancements in computation technologies in the last decades enabled businesses to analyze the data that is collected through their systems which helps to improve their services.<br/>However, performing data analytics remains a challenging task for small- and medium-scale companies due to the lack of in-house experience and computational...
doctoral thesis 2020
document
Nandakumar, Lakshminarayanan (author), Tillem, G. (author), Erkin, Z. (author), Keviczky, T. (author)
Smart grids promise a more reliable, efficient, economically viable, and environment-friendly electricity infrastructure for the future. State estimation in smart grids plays a pivotal role in system monitoring, reliable operation, automation, and grid stabilization. However, the power consumption data collected from the users during state...
journal article 2019
document
Tillem, G. (author), Erkin, Z. (author), Lagendijk, R.L. (author)
The growing complexity of software with respect to technological advances encourages model-based analysis of software systems for validation and verification. Process mining is one recently investigated technique for such analysis which enables the discovery of process models from event logs collected during software execution. However, the...
conference paper 2017
document
Tillem, G. (author), Erkin, Z. (author), Lagendijk, R.L. (author)
Validation in a big software system can be managed by analysis of its behaviour through occasionally collected event logs. Process mining is a technique to perform software validation by discovering process models from event logs or by checking the conformance of the logs to a process model. A well-known algorithm in process mining to discover...
conference paper 2016
Searched for: author%3A%22Tillem%2C+G.%22
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