von Nasrullah Memon
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| [1.] Nm/Fragment 031 15 - Diskussion Zuletzt bearbeitet: 2012-05-11 22:19:48 WiseWoman | Fragment, Gesichtet, Han Kamber 2006, Nm, SMWFragment, Schutzlevel sysop, Verschleierung |
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| Untersuchte Arbeit: Seite: 31, Zeilen: 15-27 |
Quelle: Han_Kamber_2006 Seite(n): 560, 561, 562, Zeilen: 560: 37-38; 561: 1-8; 562: 27-29 |
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| “How can we mine terrorist networks?” Traditional methods of machine learning and data mining, taking, as input, a random sample of homogeneous objects from a single relation, may not be appropriate here. The data comprising terrorist networks tend to be heterogeneous, multi-relational, and semi-structured. IDM embodies descriptive and predictive modeling. By considering links (the relationship between the objects), the more information is made available to the mining process. This brings about several new tasks.
Here we list these tasks. (1) Group detection. Group detection is a clustering task. It predicts when sets of objects belong to the same group or cluster, based on their attributes as well as their link [structure.] |
“How can we mine social networks?” Traditional methods of machine learning and data mining, taking, as input, a random sample of homogenous objects from a single
[page 561] relation, may not be appropriate here. The data comprising social networks tend to be heterogeneous, multirelational, and semi-structured. [...] 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: [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. |
Taken from a textbook on data-mining without reference. |
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