My Library

Data mining : concepts and techniques

Han, Jiawei, author
Cambridge, MA, United States : Morgan Kaufmann is an imprint of Elsevier, 2023. 2023

Data science ethics : concepts, techniques and cautionary tales

Martens, David
2022

Intro to Python for the computer and data sciences : learning to program with AI, big data and the cloud

Deitel, Paul J. author
New York : Pearson Education, Inc., 2020. 2020

Python programming : a smart approach for absolute beginners

Manson, Steve M.
[S. l. : s. n.], 2019. 2019

Learning scientific programming with Python

Hill, Christian, 1974-
Cambridge, United Kingdom : Cambridge University Press, 2019. 2019

Introduction to data mining

Tan, Pang-Ning, author
NY NY : Pearson, 2019. 2019

Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : concepts, tools, and techniques to build intelligent systems

Géron, Aurélien, author
Beijing [China] ; Sebastopol, CA : O'Reilly Media, Inc., 2019. 2019

Python data analytics : with Pandas, NumPy, and Matplotlib

Nelli, Fabio
Berkeley, United States : Apress, c. 2018. 2018

Python for data analysis : data wrangling with Pandas, NumPy, and IPython

McKinney, Wes
Beijing : O'Reilly, 2018. 2018

AI for data science : artificial intelligence frameworks and functionality for deep learning, optimization, and beyond

Voulgaris, Zacharias
Basking Ridge, New Jersey : Technics Publications, 2018. 2018

Genetic Programming : 21st European Conference, EuroGP 2018, Parma, Italy, April 4-6, 2018, Proceedings

Cham : Springer International Publishing : Imprint: Springer, 2018. 2018

Data mining : practical machine learning tools and techniques

Witten, I. H
Amsterdam : Elsevier, 2017 2017

Data mining for business analytics : concepts, techniques, and applications with JMP Pro

Shmueli, Galit, 1971-
Hoboken, United States : John Wiley & Sons, Inc., 2017. 2017

R for data science : import, tidy, transform, visualize, and model data

Wickham, Hadley
Beijing : O'Reilly, 2017. 2017

Introducing data science : big data, machine learning, and more, using Python tools

Cielen, Davy
Shelter Island, NY : Manning Publications, 2016 2016

Big data fundamentals : concepts, drivers & techniques

Erl, Thomas
Boston : Prentice Hall ; [Vancouver, BC] : Service Tech Press, 2016 2016

Analyzing analytics

Bordawekar, Rajesh
San Rafael, California : Morgan & Claypool Publishers, 2016. 2016

Event mining : algorithms and applications

Boca Raton, FL : CRC Press, Taylor & Francis Group, 2016. 2016

Text data management and analysis : a practical introduction to information retrieval and text mining

Zhai, ChengXiang
New York, United States : ACM Books ; San Rafael, United States : Morgan & Claypool Publishers, 2016. 2016

Web mining : a synergic approach resorting to classifications and clustering

Kumbhar, V. S.
Gistrup, Denmark : River Publishers, 2016. 2016

Python data science handbook : essential tools for working with data

Vanderplas, Jacob T., author
2016

Big data : principles and best practices of scalable real-time data systems

Marz, Nathan
Shelter Island, NY : Manning, [2015] 2015

Data science & big data analytics : discovering, analyzing, visualizing and presenting data

Indianapolis, IN : Wiley, 2015 2015

Big data analytics : a practical guide for managers

Pries, Kim H., 1955-
Boca Raton, FL : CRC Press, 2015. 2015

Big data : a business and legal guide

Kalyvas, James R.
Boca Raton. FL : CRC Press, 2015. 2015

Big data, mining, and analytics : components of strategic decision making

Boca Raton : Taylor & Francis, 2014. 2014

Discovering knowledge in data : an introduction to data mining

Larose, Daniel T
Hoboken, New Jersey : Wiley, 2014. 2014

Image processing and acquisition using Python

Chityala, Ravishankar
Boca Raton : Chapman & Hall/CRC, 2014. 2014

Data science for business : what you need to know about data mining and data-analytic thinking

Provost, Foster, 1964-
Sebastopol, Calif. : O'Reilly, 2013 2013

Practical applications of data mining

Suh, Sang C
Sudbury, Mass. : Jones & Bartlett Learning, 2012 2012

Data mining : concepts and techniques

Han, Jiawei
Waltham, United States : Morgan Kaufmann ; [Oxford, United Kingdom : Elsevier Science, distributor], 2012. 2012

Web data mining : exploring hyperlinks, contents, and usage data

Liu, Bing, 1963-
Heidelberg ; New York : Springer, c2011. 2011

Text mining : classification, clustering, and applications

New York, United States : Chapman & Hall/CRC, 2009. 2009

Introduction to data mining

Tan, Pang-Ning
Boston : Pearson Addison Wesley, 2006 2006

Machine learning and data mining for computer security : methods and applications

New York; London : Springer, 2006 2006

Data mining : concepts and techniques

Han, Jiawei
Amsterdam ; Boston : Elsevier : San Francisco, CA : Morgan Kaufmann, 2006 2006

Discovering knowledge in data : an introduction to data mining

Larose, Daniel T
Hoboken, New Jersey : John Wiley & Sons, Inc., 2005 2005

Data mining : practical machine learning tools and techniques with Java implementations

Witten, I. H
San Francisco, Calif. : Morgan Kaufmann, 2005 2005

Data mining techniques : for marketing, sales, and customer relationship management

Berry, Michael J. A
Indianapolis : Wiley publishing,Inc., 2004 2004

Mining the Web : discovering knowledge from hypertext data

Chakrabarti, Soumen
San Francisco, CA : Morgan Kaufmann Publishers, c2003 2003

Data mining : a tutorial-based primer

Roiger, Richard
Boston : Addison Wesley , 2003 2003

Data mining introductory and advanced topics

Dunham, Margaret H
Upper Saddle River, N.J. : Prentice Hall/Pearson Education, 2003 2003

Modern data warehousing, mining, and visualization : core concepts

Marakas, George M
Upper Saddle River, NJ : Prentice Hall, 2003 2003

Data mining on multimedia data

Perner, Petra
New York : Springer, 2002 2002

Data mining : concepts and techniques

Han, Jiawei
San Francisco : Morgan Kaufmann Publishers, 2001 2001

Relational data mining

Berlin : Springer , 2002 2001