CSE012/CS059 – Data Mining
Winter 2026
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Material
Books and Slides
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The
Data Science Design Manual, by Steven S. Skiena ·
Material from the book “Introduction to
Data Mining” by Tan, Steinbach, Kumar. ·
Mining Massive Datasets by Anand Rajaraman, Jeff Ullman, and Jure Leskovec.
Free online book. Includes
slides from the course. ·
All of
Statistics by Larry A. WassermanAll of
Statistics by Larry A. WassermanAll of
Statistics by Larry A. Wasserman ·
Introduction to Information Retrieval
by C. Manning, P. Raghavan, H. Schutze. Free online book. ·
Networks Crowds
and Markets by D. Easley, J. Kleinberg. Free online book. ·
Social Media Mining by R. Zafarani, M. Ali
Abbasi, H. Liu. Free online book. ·
Material from the book “Data Mining: Concepts and
Techniques”, by Jiawei Han and Micheline Kamber. ·
The Data Science Design Manual by
Steven Skiena. · All of Statistics by Larry A. Wasserman Springer Online Books
Recently,
Springer announced a list of free online books on Machine Learning and Data Mining. Some of the
most interesting and relevant books: ·
The Elements of Statistical
Learning,
by Trevor Hastie, Robert Tibshirani, Jerome Friedman ·
Data
Mining by Charu C. Aggarwal ·
The
Data Science Design Manual by Steven S. Skiena ·
The
Python Workbook by Ben Stephenson Python
·
Notes
from the course Computational
Tools for Data Science in BU Software
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WEKA Data Mining Software: A
software package that implements multiple data mining tools. ·
FIMI: Frequent Itemsets Mining Implementation:
A repository of implementations for frequent itemset mining. All
implementations assume the input format of the example datasets: text file
where each row is a basket consisting of space separated integers that
represent the items. ·
Liblinear: Software
package for classification. Implements the Logistic Regression and SVM
classifiers. Datasets
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The Yelp Academic Challenge
dataset ·
UCI Machine Learning Repository o Τhe
Iris dataset (ARFF file).Τhe link to UCI
repository. o The SpamBase dataset (ARFF
file). Τhe link to UCI
repository o The Mushroom dataset (ARFF
file). The link
to UCI repository. ·
Movie Lens Datasets by GroupLens Research
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FourSquare tips with categories: a collection
of FourSquare tips on restaurants in New York (thanks to Yiannis Kotrotsios).
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FourSquare tips with categories: a collection
of FourSquare tips with the category of the corresponding venue for
restaurants, nightlife venues, and shops in New York (thanks to Yiannis
Kotrotsios).
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FourSquare users and venues: a collection
of pairs of user ids and venue names in New York, where the user with the
specific id has left a tip to the venue with the specific name on Foursquare
(thanks to Yiannis Kotrotsios).
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Twitter
data from the paper “What
is Twitter, a Social Network, or a News Media?” by Haewoon Kwak,
Changhyun Lee, Hosung Park, and Sue Moon.
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English Stopwords.
Txt file with a list of English stopwords.
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SpamAssassin.
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Stanford Network Analysis Project Datasets.
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Movie-Actor Graph. Each line in the file is a tab-separated movie-actor pair, i.e., it
corresponds to one edge in the graph.
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