Ad
related to: motivation for data mining book by han and kamber
Search results
Results from the WOW.Com Content Network
The book: Han, Kamber and Pei, "Data Mining: Concepts and Techniques" (3rd ed., Morgan Kaufmann, 2011) has been popularly used as a textbook worldwide. He was the 2009 winner of the McDowell Award , the highest technical award made by IEEE .
The term data mining appeared around 1990 in the database community, with generally positive connotations. For a short time in 1980s, the phrase "database mining"™, was used, but since it was trademarked by HNC, a San Diego–based company, to pitch their Database Mining Workstation; [11] researchers consequently turned to data mining.
The book was published in 2009 by Riverhead Hardcover. It argues that human motivation is largely intrinsic and that the aspects of this motivation can be divided into autonomy, mastery, and purpose. [1] He argues against old models of motivation driven by rewards and fear of punishment, dominated by extrinsic factors such as money. [2] [3]
A review and critique of data mining process models in 2009 called the CRISP-DM the "de facto standard for developing data mining and knowledge discovery projects." [ 16 ] Other reviews of CRISP-DM and data mining process models include Kurgan and Musilek's 2006 review, [ 8 ] and Azevedo and Santos' 2008 comparison of CRISP-DM and SEMMA. [ 9 ]
While the analysis of educational data is not itself a new practice, recent advances in educational technology, including the increase in computing power and the ability to log fine-grained data about students' use of a computer-based learning environment, have led to an increased interest in developing techniques for analyzing the large amounts of data generated in educational settings.
Top 10 algorithms in data mining [19] Hand D.J. (2009) Measuring classifier performance: a coherent alternative to the area under the ROC curve. Machine Learning, 77, 103-123 [20] Hand D.J. (2018) Statistical challenges of administrative and transaction data (with discussion). Journal of the Royal Statistical Society, Series A, 181, 555-605 [21]
Non-fiction books about mining (7 P) Novels about mining (10 P) This page was last edited on 20 November 2024, at 00:19 (UTC). Text is available under the Creative ...
The modern conception of data science as an independent discipline is sometimes attributed to William S. Cleveland. [23] In 2014, the American Statistical Association's Section on Statistical Learning and Data Mining changed its name to the Section on Statistical Learning and Data Science, reflecting the ascendant popularity of data science. [24]
Ad
related to: motivation for data mining book by han and kamber