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- Anomaly_detection abstract "In data mining, anomaly detection (or outlier detection) is the identification of items, events or observations which do not conform to an expected pattern or other items in a dataset. Typically the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problems or errors in a text. Anomalies are also referred to as outliers, novelties, noise, deviations and exceptions.In particular in the context of abuse and network intrusion detection, the interesting objects are often not rare objects, but unexpected bursts in activity. This pattern does not adhere to the common statistical definition of an outlier as a rare object, and many outlier detection methods (in particular unsupervised methods) will fail on such data, unless it has been aggregated appropriately. Instead, a cluster analysis algorithm may be able to detect the micro clusters formed by these patterns.Three broad categories of anomaly detection techniques exist. Unsupervised anomaly detection techniques detect anomalies in an unlabeled test data set under the assumption that the majority of the instances in the data set are normal by looking for instances that seem to fit least to the remainder of the data set. Supervised anomaly detection techniques require a data set that has been labeled as "normal" and "abnormal" and involves training a classifier (the key difference to many other statistical classification problems is the inherent unbalanced nature of outlier detection). Semi-supervised anomaly detection techniques construct a model representing normal behavior from a given normal training data set, and then testing the likelihood of a test instance to be generated by the learnt model.".
- Anomaly_detection wikiPageID "8190902".
- Anomaly_detection wikiPageLength "14041".
- Anomaly_detection wikiPageOutDegree "29".
- Anomaly_detection wikiPageRevisionID "683207985".
- Anomaly_detection wikiPageWikiLink Artificial_neural_network.
- Anomaly_detection wikiPageWikiLink Association_rule_learning.
- Anomaly_detection wikiPageWikiLink Bank_fraud.
- Anomaly_detection wikiPageWikiLink Category:Data_mining.
- Anomaly_detection wikiPageWikiLink Category:Data_security.
- Anomaly_detection wikiPageWikiLink Category:Statistical_outliers.
- Anomaly_detection wikiPageWikiLink Change_detection.
- Anomaly_detection wikiPageWikiLink Cluster_analysis.
- Anomaly_detection wikiPageWikiLink Data_mining.
- Anomaly_detection wikiPageWikiLink Data_set.
- Anomaly_detection wikiPageWikiLink Dataset.
- Anomaly_detection wikiPageWikiLink Dorothy_E._Denning.
- Anomaly_detection wikiPageWikiLink ELKI.
- Anomaly_detection wikiPageWikiLink Ensemble_learning.
- Anomaly_detection wikiPageWikiLink Fraud.
- Anomaly_detection wikiPageWikiLink Fraud_detection.
- Anomaly_detection wikiPageWikiLink Intrusion_detection.
- Anomaly_detection wikiPageWikiLink Intrusion_detection_system.
- Anomaly_detection wikiPageWikiLink Intrusion_detection_systems.
- Anomaly_detection wikiPageWikiLink K-nearest_neighbor_algorithm.
- Anomaly_detection wikiPageWikiLink K-nearest_neighbors_algorithm.
- Anomaly_detection wikiPageWikiLink Local_outlier_factor.
- Anomaly_detection wikiPageWikiLink Misuse_detection.
- Anomaly_detection wikiPageWikiLink Neural_network.
- Anomaly_detection wikiPageWikiLink Novelty_detection.
- Anomaly_detection wikiPageWikiLink Outlier.
- Anomaly_detection wikiPageWikiLink Random_subspace_method.
- Anomaly_detection wikiPageWikiLink Soft_computing.
- Anomaly_detection wikiPageWikiLink Statistical_classification.
- Anomaly_detection wikiPageWikiLink Supervised_learning.
- Anomaly_detection wikiPageWikiLink Support_vector_machine.
- Anomaly_detection wikiPageWikiLink Support_vector_machines.
- Anomaly_detection wikiPageWikiLinkText "Anomaly detection".
- Anomaly_detection wikiPageWikiLinkText "Anomaly/outlier/change detection".
- Anomaly_detection wikiPageWikiLinkText "Behavioural Anomaly Detection".
- Anomaly_detection wikiPageWikiLinkText "anomalies".
- Anomaly_detection wikiPageWikiLinkText "anomaly detectio".
- Anomaly_detection wikiPageWikiLinkText "anomaly detection".
- Anomaly_detection wikiPageWikiLinkText "detecting".
- Anomaly_detection wikiPageWikiLinkText "outlier detection".
- Anomaly_detection wikiPageWikiLinkText "outlier".
- Anomaly_detection wikiPageWikiLinkText "outliers".
- Anomaly_detection hasPhotoCollection Anomaly_detection.
- Anomaly_detection wikiPageUsesTemplate Template:Citation_needed.
- Anomaly_detection wikiPageUsesTemplate Template:Reflist.
- Anomaly_detection subject Category:Data_mining.
- Anomaly_detection subject Category:Data_security.
- Anomaly_detection subject Category:Statistical_outliers.
- Anomaly_detection hypernym Identification.
- Anomaly_detection type Article.
- Anomaly_detection type Document.
- Anomaly_detection type Organisation.
- Anomaly_detection type Type.
- Anomaly_detection type Algorithm.
- Anomaly_detection type Article.
- Anomaly_detection type Datum.
- Anomaly_detection type Document.
- Anomaly_detection type Type.
- Anomaly_detection comment "In data mining, anomaly detection (or outlier detection) is the identification of items, events or observations which do not conform to an expected pattern or other items in a dataset. Typically the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problems or errors in a text.".
- Anomaly_detection label "Anomaly detection".
- Anomaly_detection sameAs Detekce_anomálií.
- Anomaly_detection sameAs Ανίχνευση_ανωμαλιών.
- Anomaly_detection sameAs روش_تشخیص_ناهنجاری.
- Anomaly_detection sameAs זיהוי_אנומליות.
- Anomaly_detection sameAs 異常検知.
- Anomaly_detection sameAs m.026vnz3.
- Anomaly_detection sameAs Виявлення_аномалій.
- Anomaly_detection sameAs Q3560506.
- Anomaly_detection sameAs Q3560506.
- Anomaly_detection wasDerivedFrom Anomaly_detection?oldid=683207985.
- Anomaly_detection isPrimaryTopicOf Anomaly_detection.