Muhammed-Fatih Kaya
Biographic Data
| ID | 9634079 |
|---|---|
| NAME | Muhammed-Fatih Kaya |
| GIVEN NAMES | Muhammed-Fatih |
| FAMILY NAME | Kaya |
| SIGNATURE | KAYA M |
| AFFILIATIONS | University of Hohenheim |
| ORCID | 0000-0003-2957-3024 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
The Impact of Information Load on Predicting Success in Electronic Negotiations
The exchange of information is an essential means for being able to conduct negotiations and to derive situational decisions. In electronic negotiations, information is transferred in the form of requests, offers, questions and clarifications consisting of communication and decisions. Taken together, such information makes or breaks the negotiation. Whilst information analysis has traditionally been conducted through human coding, machine learnin…
Pattern Labelling of Business Communication Data
Systematic pattern recognition as well as the corresponding description of determined patterns entail numerous challenges in the application context of 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…
Analytical Comparison of Clustering Techniques for the Recognition of Communication Patterns
The systematic processing of unstructured communication data as well as the milestone of pattern recognition in order to determine communication groups in negotiations bears many challenges in Machine Learning. In particular, the so-called curse of dimensionality makes the pattern recognition process demanding and requires further research in the negotiation environment. In this paper, various selected renowned clustering approaches are evaluated…
No prominent works on this page.
Pattern Labelling of Business Communication Data
Systematic pattern recognition as well as the corresponding description of determined patterns entail numerous challenges in the application context of 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…
Analytical Comparison of Clustering Techniques for the Recognition of Communication Patterns
The systematic processing of unstructured communication data as well as the milestone of pattern recognition in order to determine communication groups in negotiations bears many challenges in Machine Learning. In particular, the so-called curse of dimensionality makes the pattern recognition process demanding and requires further research in the negotiation environment. In this paper, various selected renowned clustering approaches are evaluated…
The Impact of Information Load on Predicting Success in Electronic Negotiations
The exchange of information is an essential means for being able to conduct negotiations and to derive situational decisions. In electronic negotiations, information is transferred in the form of requests, offers, questions and clarifications consisting of communication and decisions. Taken together, such information makes or breaks the negotiation. Whilst information analysis has traditionally been conducted through human coding, machine learnin…
Artificial Intelligence (3 works) · Computer Science (3 works) · Data mining (2 works) · Data Mining Algorithms and Applications (2 works) · Data science (2 works) · Machine learning (2 works) · Multi-Agent Systems and Negotiation (2 works) · Business (1 work) · Cluster analysis (1 work) · Complex Network Analysis Techniques (1 work)