von Nasrullah Memon
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| [1.] Nm/Fragment 206 01 - Diskussion Zuletzt bearbeitet: 2012-08-03 22:01:29 Sotho Tal Ker | Fragment, Gesichtet, Nm, SMWFragment, Schutzlevel sysop, Verschleierung, Zhao et al 2006 |
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| Untersuchte Arbeit: Seite: 206, Zeilen: 1-21 |
Quelle: Zhao et al 2006 Seite(n): 2, Zeilen: left column 43-49, right column 1, 13-30 |
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| • Terrorist organizations such as Al Qaeda
• Terrorists such as Osama Bin Ladin, Ramzi Yousef, etc. • Terrorist facilities such as Darunta Training Camp, Khalden Training Camp, etc. • Terrorist events/attacks such as 9/11, WTC terrorist attack 2003, etc. The dataset also contains various types of relations connecting instances of different entity types. Here is a partial list of the various relation types: • memberOf: instances of terrorist can be affiliated with various instances of terrorist organization. • facilityOwner: instances of terrorist facility are usually run by instances of terrorist organizations. • facilityMember: instances of terrorist are linked to various instances of terrorist facilities if the terrorist instance attended/spent some time at the facility. • claimResponsibility: instances of terrorist organization are linked to the instances of terror attacks they claim responsibility for. • participatedIn: instances of terrorist that may have participated in instances of terror attacks. |
• Terrorist organizations such as Hamas, Hizballah, Liberation Tigers of Tamil Eelam (LTTE), etc.
• Terrorists such as Osama bin Ladin, Ramzi Yousef, etc. • Terrorist facilities such as Darunta Training Camp, Khalden Training Camp, etc. • Terrorist events/attacks such as African embassy bombings of 1998, Madrid Bombings of 2004, etc. [...] The dataset also contains various types of relations connecting instances of different entity types. Here is a partial list of the various relation types: • memberOf: instances of terrorist can be affiliated with various instances of terrorist organization. • facilityOwner: instances of terrorist facility are usually run by instances of terrorist organizations. • facilityMember: instances of terrorist are linked to various instances of terrorist facilities if the terrorist instance attended/spent some time at the facility. • claimResponsibility: instances of terrorist organization are linked to the instances of terror attacks they claim responsibility for. • participate: instances of terrorist may participate in instances of terror attacks. |
continues the verbatim take-over of the description of another research group's counter-terrorism knowledge base; Mark also the transcription "Bin Ladin" which corresponds to the one given in the source, but which is used nowhere else in Nm's thesis (Usually Nm writes "Bin Laden"). |
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| [2.] Nm/Fragment 206 26 - Diskussion Zuletzt bearbeitet: 2012-05-22 20:01:31 Hindemith | Fragment, Gesichtet, Jensen et al 2003, KomplettPlagiat, Nm, SMWFragment, Schutzlevel sysop |
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| Untersuchte Arbeit: Seite: 206, Zeilen: 26-28 |
Quelle: Jensen et al 2003 Seite(n): 381, Zeilen: left column 6-12 |
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| The analysis of relational data is a rapidly growing area within the larger research community interested in machine learning, knowledge discovery, and data mining. Several workshops [(Dzeroski, S., De Raedt, L., and Wrobel, S. 2002; Getoor, L., and Jensen, D. 2000; Jensen, D. and Goldberg, H. 1998) have focused on this particular topic, and another DARPA research program — Evidence Extraction and Link Discovery (EELD) —focuses on extracting, representing, reasoning with, and learning from relational data.] | Analysis of relational data is a rapidly growing area within the larger research community interested in machine learning, knowledge discovery, and data mining. Several recent workshops [EN 3, EN 6, EN 8] have focused on this precise topic, and another DARPA research program — Evidence Extraction and Link Discovery (EELD) —focuses on extracting, representing, reasoning with, and learning from relational data. [FN 5]
--- [EN 3] Dzeroski, S., De Raedt, L., and Wrobel, S. (Eds). Papers of the Workshop on Multi-Relational Data Mining. The Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM Press, 2002. [EN 6] Getoor, L., and Jensen, D. (Eds). Learning Statistical Models from Relational Data: Papers from the AAAI 2000 Workshop, AAAI Press, Menlo Park CA, 2000. [EN 8] Jensen, D. and Goldberg, H. Artificial Intelligence and Link Analysis: Papers from the 1998 AAAI Fall Symposium., AAAI Press, Menlo Park CA, 1998. |
Verbatim with the references as in the source, which is not referenced, although it represents another workshop of those described. |
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Letzte Bearbeitung dieser Seite: durch Benutzer:Fiesh, Zeitstempel: 20120523175518