%0 Book %1 Dasu.Johnson2003 %A Dasu, T. %A Johnson, T. %D 2003 %I John Wiley & Sons, Inc %K Data Mining, statistics %T Exploratory Data Mining and Data Cleaning %X As data analysts at a large information-intensive business, we often have been asked to analyze new (to us) data sets. This experience was the original motivation for our interest in the topics of exploratory data mining and data quality. Most data mining and analysis techniques assume that the data have been joined into a single table and cleaned, and that the analyst already knows what she or he is looking for. Unfortunately, the data set is usually dirty, composed of many tables, and has unknown properties. Before any results can be produced, the data must be cleaned and explored—often a long and difficult task.

@book{Dasu.Johnson2003, abstract = {As data analysts at a large information-intensive business, we often have been asked to analyze new (to us) data sets. This experience was the original motivation for our interest in the topics of exploratory data mining and data quality. Most data mining and analysis techniques assume that the data have been joined into a single table and cleaned, and that the analyst already knows what she or he is looking for. Unfortunately, the data set is usually dirty, composed of many tables, and has unknown properties. Before any results can be produced, the data must be cleaned and explored—often a long and difficult task.}, added-at = {2011-09-01T13:26:03.000+0200}, author = {Dasu, T. and Johnson, T.}, biburl = {https://www.bibsonomy.org/bibtex/24b177ae542dfa3f08b17f675248b9f91/procomun}, file = {Dasu.Johnson2003.pdf:Dasu.Johnson2003.pdf:PDF}, interhash = {5ad6147f0e8bf7bd08afbbfb0bc45c26}, intrahash = {4b177ae542dfa3f08b17f675248b9f91}, keywords = {Data Mining, statistics}, owner = {oscar}, publisher = {John Wiley \& Sons, Inc}, refid = {Dasu.Johnson2003}, timestamp = {2011-09-02T08:25:25.000+0200}, title = {Exploratory Data Mining and Data Cleaning}, year = 2003 }