dmtm 2015 - 01 course introduction

Prof. Pier Luca Lanzi

Course Introduction ��Data Mining and Text Mining (UIC 583 @ Politecnico di Milano)


Data Mining and Text Mining

•  Prof. Pier Luca Lanzi��Dipartimento di Elettronica, Informazione e Bioingegneria��[email protected]��voice: 02 23993472��http://www.deib.polimi.it/people/lanzi

•  Office Hours��Wednesday, from 14:30 until 16:00

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Course Structure

•  Introduction to basic Data Mining and Text Mining methods��(24 hours)��

•  Advaced Techniques and Applications��(16 hours)��

•  Final Project will involve an application to real-world data

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Course Outline

• What is Data Mining?•  Data and knowledge representation•  Data exploration and preparation•  Data Mining tasks§ Associations § Clustering§ Classification

•  Advanced techniques and applications§ Text Mining§ Graph Mining§ Data Streams

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syllabus


Course Material

•  “Data Mining and Analysis: Fundamental Concepts and Algorithms,” Mohammed Zaki and Wagner Meira Jr. Cambridge University Press in 2014. http://www.dataminingbook.info

•  “Mining of Massive Datasets Book,” by A. Rajaraman, J. Ullman.��http://www.mmds.org

•  Course slides available on BEEP and articles distributed during the course

•  Software§ R & Rstudio (http://www.rstudio.com)§ Python/IPython (numpy, scipy, scikit, etc.)§ BigML (http://www.bigml.com)§ Rapid Miner/Weka (http://rapid-i.com/)

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Additional Material

•  “The Elements of Statistical Learning: Data Mining, Inference, and Prediction,” Second Edition, February 2009, Trevor Hastie, Robert Tibshirani, Jerome Friedman (http://statweb.stanford.edu/~tibs/ElemStatLearn/)

•  “An Introduction to Data Science,” Jeffrey Stanton ��https://ischool.syr.edu/media/documents/2012/3/DataScienceBook1_1.pdf

•  Ian H. Witten, Eibe Frank. “Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations” 2nd Edition.

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R Help Websites

•  Quick-R ��http://www.statmethods.net

•  R Cookbook��http://www.cookbook-r.com

•  R Bloggers��http://www.r-bloggers.com

•  R on Stackoverflow��http://stackoverflow.com/tags/r/info

•  Google R Styleguide��https://google-styleguide.googlecode.com/svn/trunk/Rguide.xml

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Prof. Pier Luca Lanzihttp://www.kdnuggets.com/2012/08/poll-analytics-data-mining-programming-languages.html

Prof. Pier Luca Lanzihttp://xkcd.com/353/


Evaluation

•  May 2015 First Midterm (15 points)

•  June 2015 Second Midterm (18 points)

•  July 2015 Full exam for those who failed midterms

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Challenges and exercises might be proposedduring the course to substitute part of the written exam

There is also another way to pass the exam

http://www.kaggle.com

http://www.drivendata.org/

http://tunedit.org/data-competitions

dmtm 2015 - 01 course introduction

Education