SAX is the first symbolic representation for time series that allows for dimensionality reduction and indexing with a lower-bounding distance measure. In classic data mining tasks such as clustering, classification, index, etc. In addition, the representation allows researchers to avail of the wealth of data structures and algorithms in bioinformatics or text mining, and also provides solutions to many challenges associated with current data mining tasks.
The notes for my AAAI tutorial are here. You can download this fileand ask me for the password. Note that this file is huge, over meg. Tutorial in AAAI Tutorial in ICDM With Case Studies in Anthropology. Invite him back in a few years.
I found out many interesting tips. From time to time, I read it again. Especially, before submitting a paper. I have to admit that I already started to apply what were written in your slide and it works Jan Vahrenhold all those tutorials and.
Tina Eliassi-Rad Great tutorial! I would recommend this tutorial for any starting graduate student in engineering. Matthew Wiley, Ohio University the students in the class were glued to the slides. Mandatory reading for all my students: I really enjoyed it and as a young researcher I felt it was very helpful, useful and wonderfully presented.
Ariella Richardson It captures a level of thought and introspection about science and research that I would like to see more widely in our discipline. I recommend it to you. I wish I have read your slides earlier. Lei Tang, Tempe, AZ. A great contribution for young people in the area.
Grigorios Tsoumakas I just got great recommendation from a co-worker about your tutorial. It is very useful for the beginners to research. Huan Liu Very nice slides!
It is very useful, especially as I am currently preparing a paper It makes me felt like i have spent the last years in vain. I have forwarded it to my group for serious reading! It was very informative. Nokia This tutorial is so important, helpful, interesting, beautiful and valuable to me that I have read the tutorial five times.
I like this tutorial so much that I am going to recommend it to all my classmates and friends. Sang-Wook Kim Today I read your tutorial and liked it. It will be in my archives always. Ahmet Yukselturk I am using it as a resource in my machine learning class.
Supheakmungkol Sarin I think you did an excellent tutorial! Angryk It was my great pleasure to be in the audience during your excellent talk on how to do research. Boxiang Dong Thank you very much for your amazing keynote on how to do research at the Ph.
I read them six times in one day. These things are totally awesome! Zhen-zhong Lan What a great tutorial!
It will be immensely useful for me and my studentsResearch Paper on Data Mining February 26, UsefulResearchPapers Research Papers 0 Data Mining is a set of interdisciplinary procedures for discovering beforehand undisclosed, significant, practically helpful, and accessible data patterns indispensable for .
Aug 29, · Finally, data mining on streams or uncertain data or while working with missing and noisy data, are themselves difficult problems in their own right.
To know more about recent advances in data mining, you can read papers from the SIGKDD, PKDD, PAKDD, ICDM, and SDM conferences etc.
Resource Library. Access the latest white papers, research webcasts, case studies and more covering a wide range of topics like Mobile, Cloud and Data Analyitcs.
Call for Paper. Original contributions based on the results of research and developments are solicited. Prospective authors are requested to submit their papers in not more than 6 pages, prepared in the two column IEEE format. Research on Social Network Sites (last updated: October 29, ) (updates w/ complete citation and links should be sent to zephoria [@] caninariojana.com).
The award recognizes papers presented at the annual SIGKDD conference that advance the fundamental understanding of the field of knowledge discovery in data and data mining.