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astronomy

Osmar R. Zaiane

Osmar R. Zaiane is a astronomy 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 Osmar R. Zaiane rather than just read about it. In short: Osmar R. Zaiane (born April 11, 1965, in Bad Kissingen, Germany) is a researcher, computer scientist, professor at the University of Alberta specializing in data mining and machine learning.

Osmar R. Zaiane — main illustration
Osmar R. Zaiane — illustration

Key takeaways

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

Reference excerpt

Osmar R. Zaiane (born April 11, 1965, in Bad Kissingen, Germany) is a researcher, computer scientist, professor at the University of Alberta specializing in data mining and machine learning. He was the secretary treasurer of the Association for Computing Machinery (ACM) Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) from 2009 to 2012 and treasurer of the ACM Special Interest Group on Health Informatics. He served as the editor-in-chief of the SIGKDD Explorations publication from 2008 to 2010. He was also the associate editor of the same publication from 2004 to 2007. A former PhD student of Professor Jiawei Han, he did his PhD on knowledge discovery from data at Simon Fraser University. Since 1999 he has been a professor in the Department of Computing Science at the University of Alberta in Canada, and was the scientific director of the Alberta Machine Intelligence Institute, formerly known as Alberta Innovates Centre for Machine Learning (AICML), from 2009 to 2020. He held visiting professor positions at Chung-Ang University in Korea, the University of Sydney in Australia, and Jean Monnet University in France. In 2009 he obtained the IEEE ICDM Outstanding Service Award, as well as the 2010 ACM SIGKDD Service Award the following year. He is a Canada CIFAR AI Chair holder with the Canadian Institute for Advanced Research, a Fellow of the Canadian Academy of Engineering, and a Fellow of the Asia-Pacific Artificial Intelligence Association. In 2024, he received the 2023 CS-Can/Info-Can Lifetime Achievement Award, and in 2025 the Canadian Artificial Intelligence Association (CAIAC) Lifetime Achievement Award.

References

External links Osmar Zaiane's academic website Academic Genealogy

Illustrations

Osmar R. Zaiane illustration

Worked examples

Example 1 — a first encounter with Osmar R. Zaiane

Start with the simplest possible case. Write down what Osmar R. Zaiane claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, 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 Osmar R. Zaiane 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 Osmar R. Zaiane 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 Osmar R. Zaiane

In research
Osmar R. Zaiane appears in astronomy 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 Osmar R. Zaiane 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
Osmar R. Zaiane is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1965 births, Academic staff of the University of Alberta, Computer scientist stubs, so understanding it makes those chapters shorter.
In everyday life
Look for Osmar R. Zaiane 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 Osmar R. Zaiane in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Osmar R. Zaiane means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Osmar R. Zaiane out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Osmar R. Zaiane in simple terms?

Osmar R. Zaiane (born April 11, 1965, in Bad Kissingen, Germany) is a researcher, computer scientist, professor at the University of Alberta specializing in data mining and machine learning.

Why does Osmar R. Zaiane matter?

Because it connects several astronomy 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 Osmar R. Zaiane?

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 Osmar R. Zaiane.

Tags

  • 1965 births
  • Academic staff of the University of Alberta
  • Computer scientist stubs
  • Data miners
  • German computer scientists
  • Living people
  • People from Bad Kissingen
  • Simon Fraser University alumni
  • Université Laval alumni

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