computer science

Hans-Peter Kriegel

Hans-Peter Kriegel is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Hans-Peter Kriegel rather than just read about it. In short: Hans-Peter Kriegel (1 October 1948, Germany) is a German computer scientist and professor at LMU Munich and leading the Database Systems Group in the Department of Computer Science. He was previously professor at the University of Würzburg and the University of Bremen after habilitation at the Technical University of Dortmund and doctorate from Karlsruhe Institute of Technology.

Key takeaways

Hans-Peter Kriegel belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Hans-Peter Kriegel to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Hans-Peter Kriegel from memory before moving on to harder problems.

Reference excerpt

Hans-Peter Kriegel (1 October 1948, Germany) is a German computer scientist and professor at LMU Munich and leading the Database Systems Group in the Department of Computer Science. He was previously professor at the University of Würzburg and the University of Bremen after habilitation at the Technical University of Dortmund and doctorate from Karlsruhe Institute of Technology.

Research His most important contributions are the database index structures R*-tree, X-tree and IQ-Tree, the cluster analysis algorithms DBSCAN, OPTICS and SUBCLU and the anomaly detection method Local Outlier Factor (LOF). His research is focused around correlation clustering, high-dimensional data indexing and analysis, spatial data mining and spatial data management as well as multimedia databases. His research group developed a software framework titled ELKI that is designed for the parallel research of index structures, data mining algorithms and their interaction, such as optimized data mining algorithms based on database indexes.

Awards In 2009 the Association for Computing Machinery appointed Hans-Peter Kriegel a "fellow", one of its highest honors. He has been honored in particular for his contributions to "knowledge discovery and data mining, similarity search, spatial data management, and access methods for high-dimensional data". He received the 2013 IEEE ICDM Research Contributions Award for his research on data mining algorithms such as DBSCAN, OPTICS, Local Outlier Factor and his work on mining high-dimensional data. He was also awarded the 2015 ACM SIGKDD Innovation Award for his contributions to data mining in clustering, outlier detection and high-dimensional data analysis, in particular for density-based approaches. DBSCAN also received the 2014 ACM SIGKDD test of time award. As of 2005, he was the most cited German researcher in databases, and data mining.

References

External links Former Database Systems Group of Hans-Peter Kriegel Publications in the Digital Bibliography & Library Project Publications in the ACM Digital Library Publications in Google Scholar

Worked examples

Example 1 — a first encounter with Hans-Peter Kriegel

Start with the simplest possible case. Write down what Hans-Peter Kriegel claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Hans-Peter Kriegel before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Hans-Peter Kriegel ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Hans-Peter Kriegel

In research: Hans-Peter Kriegel appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Hans-Peter Kriegel in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Hans-Peter Kriegel is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1948 births, Academic staff of LMU Munich, Academic staff of the University of Bremen, so understanding it makes those chapters shorter.
In everyday life: Look for Hans-Peter Kriegel outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Hans-Peter Kriegel in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Hans-Peter Kriegel means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Hans-Peter Kriegel out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Hans-Peter Kriegel in simple terms?

Why does Hans-Peter Kriegel matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Hans-Peter Kriegel?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Hans-Peter Kriegel.