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2012, 3rd ed., The Morgan Kaufmann series in data management systems, ISBN 0123814790, xxxv, 703
This is the third edition of the premier professional reference on the subject of data mining, expanding and updating the previous market leading edition. This... 
Data mining
Book
1992, Technical report series, Volume no. 9208., 21 p. --
Book
1988, Technical report series / University of Toronto. Department of Statistics, Volume no. 06, 47 leaves
Book
Annals of operations research, ISSN 1572-9338, 06/2008, Volume 168, Issue 1, pp. 151 - 168
Outlier detection has important applications in the field of data mining, such as fraud detection, customer behavior analysis, and intrusion detection. Outlier... 
Cluster-based outlier | Operations Research/Decision Theory | Outlier detection | Theory of Computation | Combinatorics | LDBSCAN | Local outlier factor | Economics / Management Science | Studies | Data mining | Operations research
Journal Article
2011, 1st ed., Wiley Handbooks in Survey Methodology, ISBN 0470542802, Volume 563, xi, 439
A practical, one-stop reference on the theory and applications of statistical data editing and imputation techniques Collected survey data are vulnerable to... 
MATHEMATICS | Probability & Statistics | Survey Research Methods & Sampling | General | Evaluation | Data integrity | Statistical services | Quality control | Data editing | Statistics | Standards
Book
The Annals of statistics, ISSN 0090-5364, 8/2012, Volume 40, Issue 4, pp. 2195 - 2238
Journal Article
The Southwest respiratory and critical care chronicles, ISSN 2325-9205, 2016, Volume 4, Issue 13, pp. 52 - 56
Journal Article
Statistical analysis and data mining, ISSN 1932-1864, 10/2012, Volume 5, Issue 5, pp. 363 - 387
Journal Article
Machine learning, ISSN 0885-6125, 6/2019, Volume 108, Issue 6, pp. 993 - 1018
Journal Article
Neural processing letters, ISSN 1370-4621, 10/2019, Volume 50, Issue 2, pp. 1845 - 1860
We present a simple but effective method for data cleaning and classification in the presence of label noise. The fundamental idea is to treat the data points... 
Outliers | Computational Intelligence | Artificial Intelligence | Complex Systems | Data cleaning | Computer Science | Classification | Class-specific autoencoder | Label noise | Computer Science, Artificial Intelligence | Technology | Science & Technology | Data analysis | Data points | Outliers (statistics) | Noise | Labels | Cleaning
Journal Article
13.