astronomy

Philip S. Yu

Philip S. Yu 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 Philip S. Yu rather than just read about it. In short: Philip S. Yu (born c. 1952) is a Taiwanese-American computer scientist.

Key takeaways

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

Reference excerpt

Philip S. Yu (born c. 1952) is a Taiwanese-American computer scientist. He is the Wexler Chair Professor of Information Technology at the University of Illinois at Chicago. He holds over 300 patents, and is known for his work in the field of data mining.

Early life and education Yu graduated from National Taiwan University with a Bachelor of Science (B.S.) in electrical engineering. He then earned a Master of Science (M.S.) in 1976 and his Ph.D. in 1978, both from Stanford University in electrical engineering and computer science. In 1982, he earned an M.B.A. from New York University at the Stern School of Business.

Career Yu started his career in private enterprise, at IBM's Thomas J. Watson Research Center, where he eventually became manager of the Software Tools and Techniques group. Currently he is Distinguished Professor and Wexler Chair in Information Technology at the Department of Computer Science of the University of Illinois at Chicago Yu holds over 300 U.S. patents, is an ACM and IEEE Fellow, is editor-in-chief of ACM Transactions on Knowledge Discovery from Data, has chaired numerous conferences, and received several awards, including from IBM, the IEEE and, in 2022, he and his coauthors, Yizhou Sun, Jiawei Han, Xifeng Yan, and Tianyi Wu, received the Very Large Data Bases Endowment Inc. (VLDB) 2022 Test of Time award, for their 2011 research paper, PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks. His research interests are in the fields of "data mining (especially on graph/network mining), social network, privacy preserving data publishing, data stream, database systems, and Internet applications and technologies." Yu is an ISI Highly Cited researcher. According to Google Scholar, Yu's H-index is among the ten highest in computer science.

Selected works Yu has authored or co-authored several books and over 650 academic articles, including:

Zhang, Jiawei, Philip S. Yu. Broad Learning Through Fusions: An Application on Social Networks, Springer, 2019 Park, Jong Soo, Ming Syan Chen, and Philip S. Yu. An effective hash-based algorithm for mining association rules. Vol. 24. No. 2. ACM, 1995. Chen, Ming-Syan, Jiawei Han, and Philip S. Yu. "Data mining: an overview from a database perspective." Knowledge and data Engineering, IEEE Transactions on 8.6 (1996): 866–883. Aggarwal, Charu C., et al. "Fast algorithms for projected clustering." ACM SIGMOD Record. Vol. 28. No. 2. ACM, 1999. Aggarwal, Charu C., et al. "A framework for clustering evolving data streams." Proceedings of the 29th international conference on Very large data bases-Volume 29. VLDB Endowment, 2003. Wang, Haixun, et al. "Mining concept-drifting data streams using ensemble classifiers." Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2003. Ross Quinlan, Qiang Yang, Zhou Zhihua and David Hand et al. Top 10 algorithms in data mining. Knowledge and Information Systems 14.1: 1-37. 2008

References

External links [1] homepage at University of Illinois at Chicago

Worked examples

Example 1 — a first encounter with Philip S. Yu

Start with the simplest possible case. Write down what Philip S. Yu 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 Philip S. Yu 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 Philip S. Yu 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 Philip S. Yu

In research: Philip S. Yu 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 Philip S. Yu 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: Philip S. Yu is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1950s births, American computer scientists, American people of Taiwanese descent, so understanding it makes those chapters shorter.
In everyday life: Look for Philip S. Yu 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 Philip S. Yu in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Philip S. Yu 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 Philip S. Yu out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Philip S. Yu in simple terms?

Philip S. Yu (born c. 1952) is a Taiwanese-American computer scientist.

Why does Philip S. Yu 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 Philip S. Yu?

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 Philip S. Yu.