Fandom

VroniPlag Wiki

Nm4/340

< Nm4

31.371Seiten in
diesem Wiki
Seite hinzufügen
Diskussion0 Teilen

Störung durch Adblocker erkannt!


Wikia ist eine gebührenfreie Seite, die sich durch Werbung finanziert. Benutzer, die Adblocker einsetzen, haben eine modifizierte Ansicht der Seite.

Wikia ist nicht verfügbar, wenn du weitere Modifikationen in dem Adblocker-Programm gemacht hast. Wenn du sie entfernst, dann wird die Seite ohne Probleme geladen.

Small World Terrorist Networks: A Preliminary Investigation

von Nasrullah Memon, David L. Hicks, Nicholas Harkiolakis, Abdul Qadeer Khan Rajput

vorherige Seite | zur Übersichtsseite | folgende Seite
Statistik und Sichtungsnachweis dieser Seite findet sich am Artikelende
[1.] Nm4/Fragment 340 01 - Diskussion
Zuletzt bearbeitet: 2014-02-01 22:03:57 Hindemith
Fragment, Gesichtet, Han Kamber 2006, Nm4, SMWFragment, Schutzlevel sysop, Verschleierung

Typus
Verschleierung
Bearbeiter
Hindemith
Gesichtet
Yes.png
Untersuchte Arbeit:
Seite: 340, Zeilen: 1-13
Quelle: Han_Kamber_2006
Seite(n): 561, 562, Zeilen: 561: 5ff; 562: 27ff
IDM embodies descriptive and predictive modeling. By considering links (relationship between the objects), more information is made available to the mining process. This brings about several new tasks [1]:
  • Group detection. Group detection is a clustering task. It predicts when a set of objects belong to the same group or cluster, based on their attributes as well as their link structure.
  • Sub-graph detection. Subgraph identification finds characteristic subgraphs within networks. This is a form of graph search and also known as graph filtering technique.
  • Object classification. In traditional classification methods, objects are classified on the attributes that describe them. Link-based classification predicts the category of an object not only on attributes, but also on links.

1. Memon Nasrullah. Investigative data mining: mathematical models for analyzing, visualizing and destabilizing terrorist networks. PhD dissertation. Aalborg University Denmark, 2007

It embodies descriptive and predictive modeling. By considering links (the relationships between objects), more information is made available to the mining process. This brings about several new tasks. Here, we list these tasks with examples from various domains:

1. Link-based object classification. In traditional classification methods, objects are classified based on the attributes that describe them. Link-based classification predicts the category of an object based not only on its attributes, but also on its links, and on the attributes of linked objects.

[page 562]

7. Group detection. Group detection is a clustering task. It predicts when a set of objects belong to the same group or cluster, based on their attributes as well as their link structure. [...]

8. Subgraph detection. Subgraph identification finds characteristic subgraphs within networks. This is a form of graph search and was described in Section 9.1. [...]

Anmerkungen

The source is not given, instead the author's PhD thesis (see Nm) is quoted, which however has been published after the source.

The copied text begins on the previous page: Nm4/Fragment_339_38

Sichter
(Hindemith) Singulus


vorherige Seite | zur Übersichtsseite | folgende Seite
Letzte Bearbeitung dieser Seite: durch Benutzer:Hindemith, Zeitstempel: 20140201213941


Auch bei Fandom

Zufälliges Wiki