KDD


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KDD

McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.

KDD

(Knowledge Discovery in Databases) An umbrella term for finding meaningful data in large databases. See data mining.
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References in periodicals archive ?
In Hasan's study, they classified the KDD Cup 99 Dataset using the feature selection and random forest algorithms.
Some features of this KDD dataset cannot be easily extracted from actual network traffic.
Ghorbani, "A detailed analysis of the KDD CUP 99 data set", Submitted to Second IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA 2009), 2009.
Meng [8] studied intrusion detection machine-learning techniques on the KDD CUP 1999 dataset.
The experimental result involved the KDD dataset and showed that the proposed method is more effective than the other data mining algorithms.
Both the training set and the testing set are from NSL-KDD, which avoids redundant records and improves the difficulty level of KDD Cup 1999.
[11] "KDD Cup 1999 Data," https://kdd.ics.uci.edu/databases/ kddcup99/kddcup99.html.
discus hannai introduced from South Korea), KDD (the FI population of Haliotis discus discus introduced from South Korea), ST (the offspring developed from the cross of H.
The method identifies that 19 features are relevant out of 41 for addressing both attack and normal data for the KDD cup 99 bench mark dataset.
Knowledge discovery in data bases (KDD) concerns several research areas including data preprocessing, data modeling and feature extraction, pattern recognition as well as information visualization, and so forth [1].
Evaluation results on KDD 1999 datasets showed good performance in comparison to results produced by decision tree counterparts.