Data mining: concepts and techniques by Jiawei Han and Micheline Kamber. Based on data mining techniques.‘Typical pneumonia’ and SARS X-Ray chest radiographs were collected.Feature. Data mining: concepts and techniques by Jiawei Han and Micheline Kamber. Based on data mining techniques.‘Typical pneumonia’ and SARS X-Ray chest radiographs were collected.Feature.
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The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, itOCOs still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge.
Since the p...more
Since the p...more
Published May 14th 2014 by Morgan Kaufmann Publishers (first published August 1st 2000)
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Rating details
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Apr 26, 2013Austin rated it really liked it · review of another edition
Jiawei Han was my professor for Data Mining at U of I, he knows a ton and is one of the most cited professors (if not the most) in the Data Mining field. I felt this book reflects that, honestly, his book explains many of the concepts of Data Mining in a more efficient and direct manner than he can in a class setting.
I enjoyed reading his book and learned a lot and there is a reason this is the standard Data Mining book for graduate studies, I would recommend it to anyone wishing to learn Data...more
I enjoyed reading his book and learned a lot and there is a reason this is the standard Data Mining book for graduate studies, I would recommend it to anyone wishing to learn Data...more
Aug 09, 2014Radek Lát rated it really liked it · review of another edition
A good collection of data mining techniques. However, for actual implementation of the presented algorithms you might need to look somewhere else because the presented information is not always clear and the examples are often difficult to transform to your own problems.
Aug 16, 2017Emmi rated it really liked it · review of another edition
Finished reading important area from this book. It gives clear knowledge in data mining techniques.
Mar 14, 2015رائد الغامدي rated it really liked it · review of another edition
من الكتب المرجعية الأساسية في موضوع البحث وتنظيم البيانات الكبيرة، الجميل فيه أنه يبدأ بترتيب يسهل على غير المتخصص فهم الموضوع من بدايته من خلال التعريفات والمصطلحات والقواعد الأساسية.
Mar 17, 2019Thomson Kneeland rated it liked it · review of another edition
Good overview of Data Science techniques and some algorithms.
3 Stars because some computer scientists need to learn Set theory properly. There's no legitimate reason to exchange the symbols of Union and Intersection in a textbook. Mathematics has a well defined pedagogy and history, and with something as basic as a Venn Diagram, the CS field should actually use accepted terminologies. And I am surprised a professional editor would let this pass.
Should we also exchange the functional operations o...more
3 Stars because some computer scientists need to learn Set theory properly. There's no legitimate reason to exchange the symbols of Union and Intersection in a textbook. Mathematics has a well defined pedagogy and history, and with something as basic as a Venn Diagram, the CS field should actually use accepted terminologies. And I am surprised a professional editor would let this pass.
Should we also exchange the functional operations o...more
Jan 17, 2019Fabio rated it it was amazing · review of another edition
I'm biased because I took the class with the author, professor Han, so I had more time to digest all the math in it, but I find it an extremely useful coverage of the field.
Feb 04, 2013Somar Boubou rated it it was amazing · review of another edition
First of all, I would like to mention that I am not familiar with data mining and its technology So you can take my review as a summary of the book with my personal opinion -not a professional one- when it is needed.
Now, I'm reading:
**UNIT6 Mining Frequent Patterns,dealing with finding all frequent itemsets and generate strong associating rules.
Every rule holds in transaction set D with Support s and Confidence c:
Support = probability of two items A and B are chosen together.
Confidence = Probabi...more
Jan 20, 2011Joshua rated it it was ok · review of another editionNow, I'm reading:
**UNIT6 Mining Frequent Patterns,dealing with finding all frequent itemsets and generate strong associating rules.
Every rule holds in transaction set D with Support s and Confidence c:
Support = probability of two items A and B are chosen together.
Confidence = Probabi...more
Shelves: computer-science, for-school, information-studies, abandoned
I did not finish this book. Due to medical reasons, I ended up dropping the course for which it was assigned. That was not a disappointing moment for me. Rather I saw it as a reprieve from further reading of this text, which I found very boring and loathed to pick up. It did not help that the professor was also pretty crummy. He did nothing but read his slides (not very eloquently either). And about 80% of the content of the slides were taken directly from the book.
A lot of data mining texts cit...more
A lot of data mining texts cit...more
Nov 10, 2011Daniel Korzekwa rated it really liked it · review of another edition
I selected this book, hoping to understand the difference between Data Mining, which I wasn't familiar with yet, and the fields already known to me of Machine Learning and Statistics. This book provides very good overview of Data Mining techniques in general and it is also packed with lots of practical examples, giving good intuition on what actually Data Mining is and how it is related to Machine Learning and Statistics.
Jul 03, 2016异次元骇客 rated it liked it · review of another edition
I read the translated Chinese version, not the original English version. I don't really like the Chinese version of this book. For some serious abstract names and concepts, there are lots of weird translations. This is my personal opinion.
I guess the English version may be easier to read, especially when it is the concepts that are mainly concerned.
Jul 01, 2011Darin marked it as reference-only · review of another edition Shelves: computer-science,>I guess the English version may be easier to read, especially when it is the concepts that are mainly concerned.
Sep 09, 2007Dustin added it · review of another edition
Jun 23, 2016Audrey rated it really liked it · review of another edition
Very clear explanations!
Feb 04, 2011Ayman Sieny rated it liked it · review of another edition
Another good book on data mining. Explains data mining algorithms and provides examples of their usage. The book is used as a text book for Master's level studies in computer science.
Nov 29, 2016Rajkumar Pagey rated it really liked it · review of another edition
The book has simplistic language and is very easy to understand.
Very good from a student's perspective.
The Diagrams are easy to understand and explain the concept thoroughly.
Very good from a student's perspective.
The Diagrams are easy to understand and explain the concept thoroughly.
Feb 10, 2014Ohud rated it it was amazing · review of another edition
WOW
I have read three/four books in data mining and took two classes and attend a conference. This is the best beginning for you to learn data mining basics and everything related to data analysis.
I have read three/four books in data mining and took two classes and attend a conference. This is the best beginning for you to learn data mining basics and everything related to data analysis.
Aug 17, 2014Mona Mahfouz rated it really liked it · review of another edition
Read for Data Mining course. Well written and easy to follow with good examples.
Francisco Eduardo Alves rated it really liked it
Jun 29, 2015
Jun 29, 2015
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