Zugar Present results of the exploration in a written form, explain and describe the algorithms. The following articles are merged in Scholar. Application of selected methods of linear algebra techniques and pattern recognition. Discussion of the requirements for larowe mathematically correct text description of the theoretical exploration methods used in the project. Construction of the project: Computational Statistics and Data Analysis 26 3, Discovering knowledge in data: New citations to this author. Nisar Real and declared partition of the work.
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Refresh and try again. Open Preview See a Problem? Details if other :. Thanks for telling us about the problem. Return to Book Page. Learn Data Mining by doing data mining Data mining can be revolutionary-but only when it's done right. The powerful black box data mining software now available can produce disastrously misleading results unless applied by a skilled and knowledgeable analyst.
Discovering Knowledge in Data: An Introduction to Data Mining provides both the practical experience and the theore Learn Data Mining by doing data mining Data mining can be revolutionary-but only when it's done right.
Discovering Knowledge in Data: An Introduction to Data Mining provides both the practical experience and the theoretical insight needed to reveal valuable information hidden in large data sets. Employing a "white box" methodology and with real-world case studies, this step-by-step guide walks readers through the various algorithms and statistical structures that underlie the software and presents examples of their operation on actual large data sets.
An Instructor's Manual presenting detailed solutions to all the problems in the book is available online. Get A Copy. Hardcover , pages. More Details Original Title. Other Editions Friend Reviews. To see what your friends thought of this book, please sign up.
To ask other readers questions about Discovering Knowledge in Data , please sign up. Be the first to ask a question about Discovering Knowledge in Data. Lists with This Book. This book is not yet featured on Listopia. Community Reviews. Showing Average rating 3. Rating details. More filters. Sort order. Mar 18, Gabri rated it liked it Shelves: dnf , information-studies. The chapters are easy to follow.
The chapter on Data preprocessing was very valuable to me, explaining why it's so important and which statistical methods could be used. Unfortunately the way the results were being obtained old version of SPSS were not so relevant for me since in this course I have to use Python. It does seem like a good book to learn how Data Mining algorithms work and how to interpret its results. Really got me interested in the domain of data mining.
It is rather an old book and I would have liked some more hands-on examples in a more modern mining tool. Nevertheless, worth the read. Grzegorz Lasota rated it really liked it Oct 05, Ania rated it really liked it Jul 25, Jovany Agathe rated it liked it Nov 30, Fitri rated it it was ok May 16, Tom rated it really liked it Mar 18, Ghadeer rated it it was amazing Nov 30, Avinash K rated it it was amazing Aug 22, Rina Yulius rated it really liked it Nov 13, Subhajit Das rated it really liked it Dec 08, Alvaro Zubizarreta rated it really liked it Jun 05, Shawn rated it really liked it Aug 10, Mahsa Almaee rated it it was amazing May 20, Lenka rated it really liked it Nov 25, Carlos Andrade rated it it was amazing Apr 10, Shane rated it really liked it Mar 12, Hakan Kjellerstrand rated it liked it Apr 05, Katarzyna rated it liked it Feb 10, Dimos Kifokeris rated it really liked it Aug 25, John rated it really liked it Sep 29, Esra Ghannam rated it really liked it May 26, Scott Haines rated it really liked it Nov 20, Mike Elphick rated it really liked it Oct 06, Jacek rated it liked it Jul 26, Piotr rated it liked it Aug 30, Jyota Snyder rated it liked it Jan 21, Wojtekwalczak rated it it was amazing May 24, There are no discussion topics on this book yet.
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Discovering Knowledge in Data: An Introduction to Data Mining