2/20/2024 0 Comments What is a data dredging![]() Vandome, John McBrewster Number of pages: 72 Published on: Stock: Available Category: Programming language Price: 3646. Data dredging occurs when: Exploratory analyses are used to find subsets of data that confirm (or are more likely to confirm) an a priori hypothesis which may not be generalisable to the whole (statistical) population. Publishing house: Alphascript Publishing Website: įrederic P. 'Data dredging' (sometimes called 'data fishing') is a real risk which may invalidate any conclusions you draw from your analysis. ![]() ![]() Overfitting, oversearching, overestimation, and attribute selection errors are all actions that can lead to data dredging. Failure to adjust existing statistical models when applying them to new datasets can also result in the occurrences of new patterns between different attributes that would otherwise have not shown up. Data mining can be used negatively to seek more information from a data set than it actually contains. Circumventing the traditional scientific approach of conducting an experiment without a hypothesis can lead to premature conclusions. These relationships may be valid within the test set but have no statistical significance in the wider population. ![]() Data dredging (data fishing, data snooping) is the inappropriate (sometimes deliberately so) use of data mining to uncover misleading relationships in data. Eligible for voucher ISBN-13: 978-613-2-82121-8 ISBN-10: 613282121X EAN: 9786132821218 Book language:īlurb/Shorttext: Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. ![]()
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