Research Library > Discovery Corps, Inc > Data Mining: Handling Missing Data

Data Mining: Handling Missing Data

White Paper Published By: Discovery Corps, Inc
Discovery Corps, Inc
Published:  Jan 11, 2011
Type:  White Paper
Length:  7 pages

"Missing Inaction . Can be Hazardous to Your Data Mining Project" is an article which addresses the problem of missing data. CTO's, data analysts, data miners, and data mining students will find the tips and techniques to be valuable. Ignoring or mishandling missing values in our datasets can have a powerful impact on the results of retrospective reporting as well as predictive data mining. First, the article talks about how to detect missing values. Next, it tackles diagnosis - understanding the reasons for the missing values and determining their seriousness. Finally, we offer some of the best "workhorse" methods for solving the problem so that accurate and successful results can be produced. After reading this article, you'll walk away with a mental framework and a set of tools and techniques that are invaluable for real-world data mining applications.

Tagsdata mining, missing values, techniques, diagnosis, tips, missing data