Search Tips
Our search has the following Google-type functionality:
+ (addition symbol)
If you use '+' at the start of a word, that word will be present in the search results.
eg. Harry +Potter
Search results will contain 'Potter'.
- (minus symbol)
If you use '-' at the start of a word, that word will be absent in the search results.
eg. Harry -Potter
Search results will not contain 'Potter'.
AND
If you use 'AND' between 2 words, then both those words will be present in the search results.
eg. Harry AND Potter
Search results will contain both 'Harry' and 'Potter'.
NOTE: AND will only work with single words not phrases.
OR
If you use 'OR' between 2 single words, then either or both of those words will be present in the search results.
eg. 'Harry OR Potter'
Search results will contain just 'Harry', or just 'Potter', or both 'Harry' and 'Potter'.
NOTE: OR will only work with single words not phrases.
NOT
If you use 'NOT' before a word, that word will be absent in the search results. (This is the same as using the minus symbol).
eg. 'Harry NOT Potter'
Search results will not contain 'Potter'.
NOTE: NOT will only work with single words not phrases.
" " (double quotation marks)
If you use double quotation marks around words, those words will be present in that order.
eg. "Harry Potter"
Search results will contain 'Harry Potter', but not 'Potter Harry'.
NOTE: "" cannot be combined with AND, OR & NOT searches.
* (asterisk)
If you use '*' in a word, it performs a wildcard search, as it signifies any number of characters. (Searches cannot start with a wildcard).
eg. 'Pot*er'
Search results will contain words starting with 'Pot' and ending in 'er', such as 'Potter'.
Data mining
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Big Data: A Very Short Introduction
Dawn E. Holmes
Data analysis: general; Data capture & analysis; Data mining
Paperback
An unimaginably vast amount of data is now generated by our on-line lives and businesses, At the same time, our ability to... [more]
$15.95
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Data Visualization: A Practical Introduction
Kieran Healy
Social research & statistics; Mathematics & Sciences; Mathematical & statistical software; Data capture & analysis; Data mining; Information visualisation
Paperback
An accessible primer on how to create effective graphics from data This book provides students and researchers a hands-on... [more]
The Elements of Statistical Learning: Data Mining, Inference, and Prediction,...
Trevor Hastie, Robert Tibshirani, Jerome Friedman
Mathematics & Sciences; Probability & statistics; Life sciences: general issues; Data mining; Maths for computer scientists; Artificial intelligence; Machine learning
Hardback
This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble... [more]
Tableau 9: The Official Guide
George Peck
Enterprise software; Data mining; Database software; Information visualisation
Paperback
This fully updated volume teaches how to build meaningful data visualizations and dashboards using Tableau 9 [more]
Data Science for Business: What You Need to Know About Data Mining and Data-Analytic...
Foster Provost, Tom Fawcett
Business & Economics; Knowledge management; Data mining
Paperback
This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through... [more]
Implementing a Data Warehouse with Microsoft (R) SQL Server (R) 2012: Training...
Dejan Sarka, Matija Lah, Chris Randall, Grega Jerkic
Data mining; SQL Server & MS SQL; Computer certification: Microsoft (eg MCSE)
Mixed media product
Ace your preparation for Microsoft(R) Certification Exam 70-463 with this 2-in-1 Training Kit from Microsoft Press(R). Work... [more]
Querying Microsoft (R) SQL Server (R) 2012: Training Kit (Exam 70-461)
Dejan Sarka, Itzik Ben-Gan, Ron Talmage
Data mining; SQL Server & MS SQL; Computer certification: Microsoft (eg MCSE)
Mixed media product
Ace your preparation for Microsoft(R) Certification Exam 70-461 with this 2-in-1 Training Kit from Microsoft Press(R). Work... [more]
Social Media Data Mining and Analytics
Gabor Szabo, Oscar Boykin
Data mining
Paperback
Harness the power of social media to predict customer behavior and improve sales Social media is the biggest source of... [more]
Optimization Techniques and Applications with Examples
Xin-She Yang
Optimisation; Data mining
Hardback
A guide to modern optimization applications and techniques in newly emerging areas spanning optimization, data science, machine... [more]
Spectral Feature Selection for Data Mining (Open Access)
Zheng Alan Zhao (SAS Institute, Cary, North Carolina, USA), Huan Liu (Arizona State University, Arizona, USA)
Automatic control engineering; Data mining
Paperback
Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform... [more]
Marketing Analytics: A Practical Guide to Improving Consumer Insights Using...
Mike Grigsby
Data analysis: general; Sales & marketing; Algorithms & data structures; Data capture & analysis; Data mining
Paperback
Understand how to apply marketing analytics techniques fearlessly, to improve consumer insights and compete more effectively... [more]
Predictive Analytics for Marketers: Using Data Mining for Business Advantage...
Barry Leventhal
Data analysis: general; Behavioural economics; Sales & marketing; Data mining
Paperback
Understand how to apply predictive analytics to better manage a company and its resources more effectively, with this revolutionary... [more]
Feature Engineering for Machine Learning and Data Analytics
Guozhu Dong (Wright State University, Ohio, USA), Huan Liu (Arizona State University, Arizona, USA)
Data mining; Machine learning
Hardback
Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without... [more]
Large-Scale Machine Learning in the Earth Sciences
Ashok N. Srivastava (Verizon, California, USA), Ramakrishna Nemani, Karsten Steinhaeuser (University of Minnesota, Minneapolis)
Earth sciences; Data mining; Neural networks & fuzzy systems
Hardback
A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa... [more]
Text Mining in Practice with R
Ted Kwartler, Edward Kwartler
Data mining
Hardback
A reliable, cost-effective approach to extracting priceless business information from all sources of text Excavating actionable... [more]
Advances in Machine Learning and Data Mining for Astronomy
Michael J. Way (NASA Goddard Institute for Space Studies, New York, New York, USA), Jeffrey D. Scargle (NASA Ames Research Center, Moffett Field, California, USA), Kamal M. Ali (Metric Avenue, San Francisco, California, USA), Ashok N. Srivastava (Verizon, California, USA)
Astronomy, space & time; Data mining; Machine learning
Paperback
Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists,... [more]
Big Data Is Not a Monolith
Cassidy R. Sugimoto (Assistant Professor, Indiana University, Bloomington), Hamid R. Ekbia (Professor of Informatics, Cognitive Science, and International Studies, and Director of the Center f, Indiana University), Michael Mattioli (Indiana University)
Media studies; Impact of science & technology on society; Data mining
Paperback
Perspectives on the varied challenges posed by big data for health, science, law, commerce, and politics. [more]
Data Mining with R: Learning with Case Studies, Second Edition
Luis Torgo (University of Porto, Portugal)
Mathematical & statistical software; Data mining
Hardback
Provides a self-contained introduction to the use of R for exploratory data mining and machine learning. Employing a practical,... [more]
Exploratory Data Analysis Using R
Ronald K. Pearson (GeoVera Holdings, Inc., CA, USA)
Probability & statistics; Data mining
Mixed media product
A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa... [more]
Sport Business Analytics: Using Data to Increase Revenue and Improve Operational...
C. Keith Harrison (University of Central Florida, Orlando, USA), Scott Bukstein (University of Central Florida, Orlando, USA)
Market research; Data mining
Hardback
Developing and implementing a systematic analytics strategy can result in a sustainable competitive advantage within the sport... [more]
Professional Hadoop
Benoy Anthony, Konstantin Boudnik, Cheryl Adams, Branky Sha, Cazen Lee
Data mining
Paperback
The professional's one-stop guide to this open-source, Java-based big data framework Professional Hadoop is the complete... [more]
Big Data: Storage, Sharing, and Security
Fei Hu (University of Alabama, Tuscaloosa, USA)
Data mining; Computer security; Computer networking & communications
Hardback
Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and... [more]
Crowdsourced Health: How What You Do on the Internet Will Improve Medicine...
Elad Yom-Tov (Senior Researcher, Microsoft Research Israel)
Medical equipment & techniques; Environmental factors; Data mining
Hardback
How data from our health-related Internet searches can lead to discoveries about diseases and symptoms and help patients deal... [more]
Data Analysis Using SQL and Excel
Gordon S. Linoff
Spreadsheet software; Programming & scripting languages: general; Data warehousing; Data mining
Paperback
A practical guide to data mining using SQL and Excel Data Analysis Using SQL and Excel, 2nd Edition shows you how to leverage... [more]
Text Mining and Visualization: Case Studies Using Open-Source Tools
Markus Hofmann (Institute of Technology Blanchardstown, Dublin, Ireland), Andrew Chisholm (Information Gain Ltd., UK)
Data mining
Hardback
Text Mining and Visualization: Case Studies Using Open-Source Tools provides an introduction to text mining using some of... [more]
