This page contains online book resources for instructors and students. You can contact us via email if you have any questions.
Solutions are available for Instructors. Please email us from an official university/academic email address to request the solutions manual (please also provide a URL to your official academic webpage/course page to verify that you are a faculty member).
You can access the lecture videos for the data mining course offered at RPI in Fall 2019.
You can also access the lectures in Portugese at the Youtube Channel (you can also change the language under Settings to generate closed captioning in English or your language of choice.)
The datasets used for the examples in the book can be downloaded here: Datasets.zip
Complete latex sources for all slides are available. Below we include the PDF and PPT versions.
PART I. DATA ANALYSIS FOUNDATIONS
PART II. FREQUENT PATTERN MINING
PART III. CLUSTERING
PART IV. CLASSIFICATION
PART V. REGRESSION
Implementation-based Projects Here are some implementation-based project ideas. You can use python or R, or any other language/software of your choice.