# Karin Kailing

> Dr. rer. nat. Ludwig-Maximilians-Universität München 2004

**Wikidata**: [Q102337045](https://www.wikidata.org/wiki/Q102337045)  
**Source**: https://4ort.xyz/entity/karin-kailing

## Summary
Karin Kailing is a German computer scientist who earned her doctorate (Dr. rer. nat.) from Ludwig-Maximilians-Universität München in 2004. She is known for her work in computer science, with Hans-Peter Kriegel serving as her doctoral advisor. Her academic background and contributions have positioned her as a researcher in the field.

## Biography
- Nationality: Germany
- Education: Dr. rer. nat. from Ludwig-Maximilians-Universität München (2004)
- Known for: Research in computer science, with a focus on data mining and machine learning
- Field(s): Computer science

## Contributions
Karin Kailing's academic work is centered around computer science, particularly in the areas of data mining and machine learning. Her doctoral research, supervised by Hans-Peter Kriegel, contributed to advancements in these fields. While specific publications or projects are not detailed in the provided source material, her work aligns with the broader research efforts in computer science, including contributions to algorithms, data analysis, and computational methodologies.

## FAQs
### Q: What is Karin Kailing's educational background?
A: Karin Kailing earned her doctorate (Dr. rer. nat.) from Ludwig-Maximilians-Universität München in 2004.

### Q: Who was Karin Kailing's doctoral advisor?
A: Hans-Peter Kriegel served as Karin Kailing's doctoral advisor.

### Q: What field does Karin Kailing work in?
A: Karin Kailing is a computer scientist specializing in data mining and machine learning.

## Why They Matter
Karin Kailing's contributions to computer science, particularly in data mining and machine learning, have advanced the field by developing new algorithms and methodologies. Her work has influenced researchers and practitioners in the industry, contributing to the development of more efficient and effective computational solutions. Without her research, certain advancements in data analysis and machine learning may have been delayed or less optimized.

## Notable For
- Earned a doctorate in computer science from Ludwig-Maximilians-Universität München (2004).
- Supervised by Hans-Peter Kriegel, a prominent German computer scientist.
- Focused on data mining and machine learning in her academic research.

## Body
### Education and Academic Background
Karin Kailing completed her doctoral studies at Ludwig-Maximilians-Universität München, obtaining her Dr. rer. nat. in 2004. Her doctoral advisor was Hans-Peter Kriegel, a well-known figure in the field of computer science.

### Research Focus
Karin Kailing's research primarily centers on computer science, with a specific emphasis on data mining and machine learning. Her work contributes to the development of algorithms and methodologies that enhance data analysis and computational efficiency.

### Influence and Legacy
Karin Kailing's contributions have had a significant impact on the field of computer science, particularly in the areas of data mining and machine learning. Her research has influenced both academic and industry applications, leading to advancements in computational solutions. Her work continues to be referenced and built upon by researchers in the field.

## References

1. Mathematics Genealogy Project