Jiawei Han
Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in–depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for data–driven phrase mining and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub–graph patterns. The University of Illinois at Urbana–Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
Instructor Details
Courses : 3
Specification: Pattern Discovery in Data Mining
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45 reviews for Pattern Discovery in Data Mining
Add a review
| Price | Free |
|---|---|
| Provider | |
| Duration | 16 hours |
| Year | 2016 |
| Language | English ... |
| Certificate | Yes |
| Quizzes | Yes |
FREE
Antoine G –
A list of research papers to read further that’s it. The course is too short to cover the subject so it covers nothing in the end. The programming assignment have no help, whatsoever it’s “do it” any language. The 2 programming assignment doesn’t have much to do with the course. We don’t even talk about the algo to use to do it. It looks like coursera has asked the professor to add a programming assignment to the course and he had 3 minutes to choose what it could be. It shouldn’t be advertised in coursera as it is. Ah, forgot to mention that no one replies to the forums,actually no one uses them. I think the subject is very interesting but this course gives a really bad advertising to Coursera, the university and the professor. It needs more work before it’s deployed on the platform. I am going to try another Coursera course in the same kind of subject I hope it won’t be the same.
Anubhav B –
The course is very helpful and brings fascinating insights for projects.
Mauricio B –
I like this course. Its provides a good base for pattern discovery, with useful high level techniques, this can be used as a starting point. Something to improve can be incorporating at least one lesson with best practice coding techniques to solve the practical exercises.
Lei Z –
too theoretical without enough practical quiz and assignment
Benoit P –
Really disappointing. The slides contain a lot of paper references that seem to be of high quality (that’s the reason I’m giving it 2 stars and not just 1)… but the course itself is bad: it covers many algorithms, but so superficially that you learn nothing; and there are not enough programming assignments to really allow you to get any intuition on the concepts. I would love to see this be turned into a 5 course, 30 week specialization in itself (and the professor sure looks like he has the knowledge to fill these 30 weeks)… but as a single course over 4 weeks, it’s not good.
Tao Y –
I learned a lot from this lecture. And I believe the lecture is excellent except that if he could become a little bit funny, then it would be perfect. Thanks, Clark
Lu Y –
very nice!
Rahul M –
The course exercises are medium hard. But the topic coverage is spot on.
Prashant K –
I’d review this course for two parts: lectures and programming assignments. Lectures: Prof. Jiawei Han is a pioneer of the subject. However, I was expecting a more indepth elaboration of techniques. In almost all his lectures he covered very crucial topics at a near shallow level. For someone like me, it was a motivation to be learning the subject from him but I was left disappointed a little bit. I felt if i was just to gain a superficial understanding then I would have browsed through any website/blog/article rather than paying for this course and coming here under his tutelage. I will not expect him to be as thorough as he’d be in his lectures at UIUC (although why not!) but a more elaborative explanation with more notable examples (instead of pointing to the reading material at the end of 4th minute of the lecture) will be more fruitful and a better learning experience. The programming assignments are challenging and will definitely open up the thought process towards being able to imagine what patterns mean and how to go about extracting them.
sergey z –
The explanations are not clear. The course is very theoretical, there’s just one obligatory programming task. It’s one of the worst courses I have ever enrolled in.
Tanan K –
Should be more support in the forum for quiz and assignement
Deleted A –
Great course for beginners without experience in Python programming
Jose A E H –
It’s an introductory course to key Pattern Discovery techniques with a comprehensive coverage of important subjects. However, it should be complemented by following the referenced material in order to obtain a wider and more complete picture of the field.
Hernan C V –
Amazing!
Robert R –
Solid introduction with a lot of references. Lot of topics are not deep enough discussed and a lot of additional reading is necessary in order to get a lot out of the course. Furthermore, the presentation style and the (language) understandability of the lecturer are not very good. Too few exercise questions. Would still recommend it as introduction course and for the high number of good paper references.
Gary C –
Excellent course that summarizes a very broad and complex topic. Definitely recommend.
Valerie P –
Excel
Piotr B –
Too much material. Not enough real examples.
Darren –
The first several chapters are very impressive. The last three lessons are a little difficult for first learners. The illustration are clear and easy to understand.
Vivian Y Q –
very unhelpful lecture, basically learn everything by yourself
Jaroslaw G –
OK course, some lectures with too much breadth at the cost of depth
Limber –
I don’t really like the Programming Assignment of this course. I have took over one month to figure it out, and the feedback system don’t even provide me any help. The day that I have registered for this course, the coding is still new to me although I have got the training like 1 year thanks to Andrew Ng. And I could only used MATLAB/Octave or Python to solve the quiz. I have tried to use MATLAB to finished this course, but I failed many times. Finally, I have decided to use Python to solve this PA, and the algorithm is still hard for me to complete, so I used the python tool that with the algorithm in it and fix a little. I believe that this course is a really good course, and Jiawei Han is a real kind person. BUT even for some other courses, we got a startup(like Andrew Ng’s Machine Learning Course and Koller’s PGM). However, besides the PA, the rest of the course is really worth taking. I read the books for times and figured out that it indeed help! Though, it is hard for a new student. You should have to dive deep into the course which you should read more about this subject. Jiawei Han’s work is only a startup. Thank you very much.
Cheng shuo Y –
It is a good course but more knowledge are expected to be filled, e.g, some algorithm can be detailed or illustrated with simple case instantiation.
GANG L –
Excellent course. Now I have a big picture about pattern discovery and understand some popular algorithm. Also professor points out the direction for further study.
Vaibhav K –
Nice work plan
Logan J T –
I would prefer to see this class split into two. I felt topics did not receive enough time to truly learn them. I would also like to see a more advanced course that required programming assignments.
Mykola K –
Very well organised course. I especially liked the assignments: programming assignments were helpful to apply the course (this makes you implement the methods you learn), so were multiple choice questions that really make you think on the course content. The instructor was clear and provided good materials. I would recommend this course.
Begona –
It’s really hard to understand the explanations of the teacher. I gave up after the first week.
Srinath R M –
Gave a very good introduction of Pattern Discovery and different mechanisms/algorithms for pattern discovery. Talks about different pattern discovery approaches, pros & cons of each. Found it very helpful for my investment analysis project
Carlos R –
Very usefull course. I learned too much about pattern discovering.
Ian W –
compact class which teaches you lots of knowledge without wasting any time, using frequent tests to renew your memory and test your comprehension. The programming assignment is a little bit challenging though. I would like to post a guide if I figure out how to get 100/100.
Felix K –
Very well taught. The teacher has a very good understanding of the level of detail that can be addressed. He uses clear examples and keeps each lesson to the point. The quizzes are short and focussed on what was taught in the course.
Eric A S –
Very interesting and very clearly explained.
chenjing –
very great!it’s very helpful for me! thank you !
Luca B –
Very poor. No programming assignment. No more users in forum. Lessons are just a list of algorithm without a detailed explanation.
SAURABH K –
nice
Thomas G –
so hard to understand his english. only reading from slides not really explaining a lot or giving intuitions. Not happy with this course.
Sergey –
A good overview of data mining. The course turned out to be quite casual, with many quizzes requiring only knowledge of some definitions which disappeared from my short lived memory in no time. I suppose it is based on a much more detailed and challenging one taught at the University of Illinois. On the other hand, programming assignments were fun.
Devender B –
One star less because of errors in the quiz questions which is not acceptable when it is mandatory to pass
Raj A S –
very time consuming
To P H –
Course content too dense with many lectures serve as mere summary of advanced papers with little explanantion of technical terms. Too much mention of advanced topics with not enough coverage and depth for each topic There are not many examples of the algorithm/of a case that can be solved using an algorithm. Little math is involved Course should be longer (6 weeks) with longer lectures with more examples and exercises This makes the content quick to be forgotten.
Aleksandra H –
Briefly described a lot of stuff that could have been explained more visually and demonstrated with step by step examples more often. This might be expected for a 4 week course, but it would have been nice to extend it instead of trying to fit it into a compressed time frame. The required programming assignment could have been clearer about how the work should be structured and submitted.
Viorel B –
Large variety of algorithm presented. Good study material recommendations. Fun assignments.
Vijayashri B –
Good course, Faculty has excellent knowledge and well explaind
Alexander S –
Good course. The explanation for the optional programming assignment is very poor.