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  2. Shone's syndrome - Wikipedia

    en.wikipedia.org/wiki/Shone's_syndrome

    Shone’s syndrome is a rare disorder that is often detected in very young children. The children tend to show symptoms like fatigue, nocturnal cough, and reduced cardiac output by the age of two years. They also develop wheezing due to the exudation of fluid into the lungs. [1]

  3. Anomaly detection - Wikipedia

    en.wikipedia.org/wiki/Anomaly_detection

    ELKI is an open-source Java data mining toolkit that contains several anomaly detection algorithms, as well as index acceleration for them. PyOD is an open-source Python library developed specifically for anomaly detection. [56] scikit-learn is an open-source Python library that contains some algorithms for unsupervised anomaly detection.

  4. Sociomapping - Wikipedia

    en.wikipedia.org/wiki/Sociomapping

    Data used for these type of maps are rectangular matrices, where for each subject there is a preference vector of selected objects (such as political parties, brands, products, and so on). In order to create a Sociomap, for each subject a position in the map is determined, and a small piece of mass representing this subject is placed on the map ...

  5. Anomaly Detection at Multiple Scales - Wikipedia

    en.wikipedia.org/wiki/Anomaly_Detection_at...

    The intended recipients of the system output are operators in the counterintelligence agencies. [ 2 ] [ 6 ] A final report was published on May 11, 2015, detailing a system known as Anomaly Detection Engine for Networks, or ADEN, developed by the University of Maryland, College Park , whose goal was to "identify malicious users within a network."

  6. Network behavior anomaly detection - Wikipedia

    en.wikipedia.org/wiki/Network_Behavior_Anomaly...

    Network behavior anomaly detection (NBAD) is a security technique that provides network security threat detection. It is a complementary technology to systems that detect security threats based on packet signatures. [1] NBAD is the continuous monitoring of a network for unusual events or trends.

  7. Anomaly-based intrusion detection system - Wikipedia

    en.wikipedia.org/wiki/Anomaly-based_intrusion...

    Another method is to define what normal usage of the system comprises using a strict mathematical model, and flag any deviation from this as an attack. This is known as strict anomaly detection. [3] Other techniques used to detect anomalies include data mining methods, grammar based methods, and Artificial Immune System. [2]

  8. Social network analysis - Wikipedia

    en.wikipedia.org/wiki/Social_network_analysis

    An example of a pen-and-paper network mapping approach, which also includes the collection of some actor attributes (perceived influence and goals of actors) is the * Net-map toolbox. One benefit of this approach is that it allows researchers to collect qualitative data and ask clarifying questions while the network data is collected.

  9. Social complexity - Wikipedia

    en.wikipedia.org/wiki/Social_complexity

    In sociology, social complexity is a conceptual framework used in the analysis of society. In the sciences, contemporary definitions of complexity are found in systems theory, wherein the phenomenon being studied has many parts and many possible arrangements of the parts; simultaneously, what is complex and what is simple are relative and ...