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Titlebook: Automated Pattern Recognition of Communication Behaviour in Electronic Business Negotiations; Muhammed Fatih Kaya Book 2023 The Editor(s)

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发表于 2025-3-21 17:30:22 | 显示全部楼层 |阅读模式
期刊全称Automated Pattern Recognition of Communication Behaviour in Electronic Business Negotiations
影响因子2023Muhammed Fatih Kaya
视频video
学科分类Gabler Theses
图书封面Titlebook: Automated Pattern Recognition of Communication Behaviour in Electronic Business Negotiations;  Muhammed Fatih Kaya Book 2023 The Editor(s)
影响因子The world of digitalisation is changing the way how people and business companies communicate with each other. Electronic negotiations represent one of the most important forms of business communication and can influence the successes and failures of companies in a significant way, whether in interorganisational or intraorganisational processes. Analysing negotiation interactions to determine pattern-based peculiarities in the communication offers new value-adding information concerning the management of optimised communication processes, even though the machine-based processing of communication data bears a series of challenges. The present book develops a new approach to analyse the automated pattern recognition potential of Machine Learning methods in unstructured negotiation communication. It presents holistic research frameworks for the effective detection of structural patterns and reveals the pattern labelling potential in high-dimensional communication data by analytically implementing a series of Machine Learning methods.
Pindex Book 2023
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发表于 2025-3-21 21:32:11 | 显示全部楼层
Application of Data Mining Methods for Pattern Recognition in Negotiation Support Systems,aper follows this tradition by discussing two different data mining techniques that are being implemented for pattern recognition in Negotiation Support Systems (NSSs), thereby providing process assistance to human negotiators. To this end, data from several international negotiation experiments via
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Pattern Labelling of Business Communication Data,f high-dimensional communication data. These can cause increased effort, especially with regard to machine-based processing concerning the determination of regularities in underlying datasets. Due to the increased expansion of dimensions in multidimensional data spaces, determined patterns are no lo
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,Schwermetalloxyde in Wasserstoffatmosphäre,ing methods in unstructured negotiation communication. It presents holistic research frameworks for the effective detection of structural patterns and reveals the pattern labelling potential in high-dimensional communication data by analytically implementing a series of Machine Learning methods.
发表于 2025-3-23 03:17:35 | 显示全部楼层
Glimmentladungssäulen ohne Wandeinflüsseholistic research approach and by subsequently applying selected Machine Learning methods from Association Rule Discovery, Topic Modelling and Decision Trees with regard to the overall goal of semi-automated pattern labelling. The results show that meaningful descriptions can be derived for the interpretation of pre-defined patterns.
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