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Sentiment analysis: mining opinions, sentiments, and emotions (2nd ed.)
Liu B., Cambridge University Press, Cambridge, UK, 2020. 448 pp. Type: Book (978-1-108486-37-8)
Mining sentiment and opinions from human-generated reviews is certainly one of the most visible applications of natural language processing ever. It is hard to imagine a successful customer-facing business today that does not care a gr...
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Oct 12 2021
Lifelong machine learning
Chen Z., Liu B., Morgan & Claypool Publishers, San Rafael, CA, 2016. 146 pp. Type: Book (978-1-627055-01-7)
Machine learning (ML) is fundamental to defining how a machine can learn from datasets and present this information in the way the user desires. This brings two separate paradigms together--computing and statistics. We have ex...
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Nov 9 2017
Towards personalized prostate cancer therapy using delta-reachability analysis
Liu B., Kong S., Gao S., Zuliani P., Clarke E. HSCC 2015 (Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control, Seattle, WA, Apr 14-16, 2015) 227-232, 2015. Type: Proceedings
In 2005, I was diagnosed with prostate cancer. This paper fits what I learned: one faces difficult choices because each cancer is different and there are many treatment options. This paper focuses on the hormone treatment that shuts do...
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Jun 17 2015
Web data mining: exploring hyperlinks, contents, and usage data (2nd ed.)
Liu B., Springer Publishing Company, Incorporated, New York, NY, 2011. 642 pp. Type: Book (978-3-642194-59-7)
The World Wide Web (WWW) and its surrounding technologies have become major application domains for data mining techniques. Web mining expertise can be both intellectually and economically rewarding. However, data mining textbooks typi...
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Feb 24 2012
Web data mining: exploring hyperlinks, contents, and usage data (Data-Centric Systems and Applications)
Liu B., Springer-Verlag New York, Inc., Secaucus, NJ, 2007. 532 pp. Type: Book (9783540378815), Reviews: (2 of 2)
This is a textbook about data mining and its application to the Web. The first part of the book covers core data mining and machine learning concepts. These include associative rules that discover correlations among data items and sequ...
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Jan 26 2009
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