International Center for Computational Logic - Benutzerbeiträge [de]

Article3023

2016-01-21T16:36:00Z

Diana Troanca:

{{Publikation Erster Autor
|ErsterAutorVorname=Sanda
|ErsterAutorNachname=Dragoș
|FurtherAuthors=Diana Haliță; Christian Săcărea; Diana Troancă;
}}
{{Article
|Referiert=0
|Title=An FCA grounded study of user dynamics through log exploration
|To appear=0
|Year=2014
|Journal=Studia Univ. Babes-Bolyai, Ser. Informatica
|Volume=Vol.2
|Number=LIX
|Pages=pp. 82-97
}}
{{Publikation Details
|Abstract=Nowadays the use of e-learning systems is increasing, especially in academia. Most researchers use Web Usage Mining (WUM) techniques to study the behavior of users of such systems. The results thus obtained are used to enhance e-learning systems or make di�erent predictions. Current tools used for Web Usage Mining can o�er a partial view on the usage of such systems. This paper presents the use of Formal Concept Analysis (FCA) as a Web Usage Mining instrument. It is also shown how di�erent methods of FCA can be applied for revealing user behavior
patterns within a system as well as users dynamics. The detection of users dynamics is a current research topic used to reveal how a system (elearning instrument in our case) is built. Various authors who use FCA for Web Usage Mining propose ontology generation, semantic web personalisation, but none are using the whole range of FCA tools for exploration. In this paper, we debut by representing user dynamics patterns using ToscanaJ. Then, we use a triadic approach in order to investigate the behavioral patterns of students using the e-learning system. We also how how frequent triconcepts can be used for Web Usage Mining. Then, we use CIRCOS to represent the information content of the triadic data election.
|Download=UserDynamicsThroughLogExploration.pdf
|Forschungsgruppe=Computational Logic
}}
{{Forschungsgebiet Auswahl}}

Article3023/en

2016-01-21T16:35:26Z

Diana Troanca: Page created automatically by parser function on page Article3023

#REDIRECT [[Article3023]]

Article3023

2016-01-21T16:35:26Z

Diana Troanca: Die Seite wurde neu angelegt: „{{Publikation Erster Autor |ErsterAutorVorname=Sanda |ErsterAutorNachname=Dragoș |FurtherAuthors=Diana Haliță; Christian Săcărea; Diana Troancă; }} {{Ar…“

{{Publikation Erster Autor
|ErsterAutorVorname=Sanda
|ErsterAutorNachname=Dragoș
|FurtherAuthors=Diana Haliță; Christian Săcărea; Diana Troancă;
}}
{{Article
|Referiert=0
|Title=An FCA grounded study of user dynamics through log exploration
|To appear=0
|Year=2014
|Journal=Studia Univ. Babes-Bolyai, Ser. Informatica
|Volume=2
|Number=LIX
|Pages=pp. 82-97
}}
{{Publikation Details
|Abstract=Nowadays the use of e-learning systems is increasing, especially in academia. Most researchers use Web Usage Mining (WUM) techniques to study the behavior of users of such systems. The results thus obtained are used to enhance e-learning systems or make di�erent predictions. Current tools used for Web Usage Mining can o�er a partial view on the usage of such systems. This paper presents the use of Formal Concept Analysis (FCA) as a Web Usage Mining instrument. It is also shown how di�erent methods of FCA can be applied for revealing user behavior
patterns within a system as well as users dynamics. The detection of users dynamics is a current research topic used to reveal how a system (elearning instrument in our case) is built. Various authors who use FCA for Web Usage Mining propose ontology generation, semantic web personalisation, but none are using the whole range of FCA tools for exploration. In this paper, we debut by representing user dynamics patterns using ToscanaJ. Then, we use a triadic approach in order to investigate the behavioral patterns of students using the e-learning system. We also how how frequent triconcepts can be used for Web Usage Mining. Then, we use CIRCOS to represent the information content of the triadic data election.
|Download=UserDynamicsThroughLogExploration.pdf
|Forschungsgruppe=Computational Logic
}}
{{Forschungsgebiet Auswahl}}

Datei:UserDynamicsThroughLogExploration.pdf

2016-01-21T16:35:08Z

Diana Troanca:

Inproceedings3070/en

2016-01-21T16:30:04Z

Diana Troanca: Page created automatically by parser function on page Inproceedings3070

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Inproceedings3070

2016-01-21T16:30:03Z

{{Publikation Erster Autor
|ErsterAutorVorname=Sanda
|ErsterAutorNachname=Dragoș
|FurtherAuthors=Diana Haliță; Christian Săcărea; Diana Troancă;
}}
{{Inproceedings
|Referiert=1
|Title=Applying Triadic FCA in Studying Web Usage Behaviors
|To appear=0
|Year=2014
|Booktitle=Proceedings of the International Conference on Knowledge Science, Engineering and Management
|Pages=pp. 73-80
|Publisher=Springer
}}
{{Publikation Details
|Abstract=Formal Concept Analysis (FCA) is well known for its features addressing Knowledge Processing and Knowledge Representation as well as o�ering a reasoning support for understanding the structure of large collections of information and knowledge. This paper aims to introduce a triadic approach to the study of web usage behavior. User dynamics is captured in logs, containing a large variety of data. These logs are then studied using Triadic FCA, the knowledge content being expressed as a collection of triconcepts. Temporal aspects of web usage behavior are considered as conditions in tricontexts, being then expressed as modi in triconcepts. The gained knowledge is then visualized using CIRCOS, a software package for visualizing data and information in a circular layout. This circular layout emphasizes patterns of user dynamics.
|Download=Web Usage Mining.pdf
|Forschungsgruppe=Computational Logic
}}

Datei:Web Usage Mining.pdf

2016-01-21T16:29:47Z

Diana Troanca:

Inproceedings3069/en

2016-01-21T16:19:35Z

Diana Troanca: Page created automatically by parser function on page Inproceedings3069

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Inproceedings3069

2016-01-21T16:19:34Z

Diana Troanca: Die Seite wurde neu angelegt: „{{Publikation Erster Autor |ErsterAutorVorname=Sebastian |ErsterAutorNachname=Rudolph |FurtherAuthors=Christian Săcărea; Diana Troancă; }} {{Inproceedings…“

{{Publikation Erster Autor
|ErsterAutorVorname=Sebastian
|ErsterAutorNachname=Rudolph
|FurtherAuthors=Christian Săcărea; Diana Troancă;
}}
{{Inproceedings
|Referiert=1
|Title=Towards a Navigation Paradigm for Triadic Concepts
|To appear=0
|Year=2015
|Booktitle= Proceedings of the 14th International Conference on Formal Concept Analysis, ICFCA 2015
|Pages=pp. 252-267
|Publisher=Springer
}}
{{Publikation Details
|Abstract=The simple formalization and the intuitive graphical representation are main reasons for the growing popularity of Formal Concept Analysis (FCA). FCA gives the user the possibility to explore the structure of data and understand correlations and implications in the data set. Recently, triadic FCA (3FCA) has become increasingly popular, but exploring triadic conceptual landscapes is not easy, especially because of the less immediate structure of the space of triadic concepts. Even more, available graphical representations of trilattices are barely intelligible and hard to obtain even for small data sets. Driven by practical requirements, we propose a new navigation paradigm for triadic conceptual landscapes based on a neighborhood notion arising from appropriately de�ned dyadic concept lattices. Understanding the corresponding reachability relation gives also new theoretical insights about the behavior of triadic concepts and the corresponding triadic data sets.
|Download=TowardsANavigationParadigmForTriadicConcepts.pdf
|Forschungsgruppe=Computational Logic
}}

Datei:TowardsANavigationParadigmForTriadicConcepts.pdf

2016-01-21T16:16:04Z

Diana Troanca:

Inproceedings3068

2016-01-21T16:11:38Z

Diana Troanca:

{{Publikation Erster Autor
|ErsterAutorVorname=Sebastian
|ErsterAutorNachname=Rudolph
|FurtherAuthors=Christian Săcărea; Diana Troancă;
}}
{{Inproceedings
|Referiert=1
|Title=Reduction in Triadic Data Sets
|To appear=0
|Year=2015
|Month=Juli
|Booktitle=Workshop FCA4AI „What cand FCA do for Artificial Intelligence?”
|Pages=pp.55-62
}}
{{Publikation Details
|Abstract=Even if not explicitly stated, data can be often interpreted in a triadic setting in numerous scenarios of data analysis and processing. Formal Concept Analysis, as the underlying mathematical theory of Conceptual Knowledge Processing gives the possibility to explore the structure of data and to understand its structure. Representing knowledge as conceptual hierarchies becomes increasingly popular as a basis for further communication of knowledge. While in the dyadic setting there are well-known methods to reduce the complexity of data without affecting its underlying structure, these methods are missing in the triadic case. Driven by practical requirements, we discuss an extension of the classical reduction methods to the triadic case and apply them to a medium-sized oncological data set.
|Download=reduction.pdf
|Forschungsgruppe=Computational Logic
}}

Datei:Reduction.pdf

2016-01-21T16:10:58Z

Diana Troanca:

Inproceedings3068/en

2016-01-21T16:02:25Z

Diana Troanca: Page created automatically by parser function on page Inproceedings3068

#REDIRECT [[Inproceedings3068]]

Inproceedings3068

2016-01-21T16:02:24Z

{{Publikation Erster Autor
|ErsterAutorVorname=Sebastian
|ErsterAutorNachname=Rudolph
|FurtherAuthors=Christian Săcărea; Diana Troancă;
}}
{{Inproceedings
|Referiert=1
|Title=Reduction in Triadic Data Sets
|To appear=0
|Year=2015
|Month=Juli
|Booktitle=Workshop FCA4AI „What cand FCA do for Artificial Intelligence?”
|Pages=55-62
}}
{{Publikation Details
|Abstract=Even if not explicitly stated, data can be often interpreted in a triadic setting in numerous scenarios of data analysis and processing. Formal Concept Analysis, as the underlying mathematical theory of Conceptual Knowledge Processing gives the possibility to explore the structure of data and to understand its structure. Representing knowledge as conceptual hierarchies becomes increasingly popular as a basis for further communication of knowledge. While in the dyadic setting there are well-known methods to reduce the complexity of data without aff�ecting its underlying structure, these methods are missing in the triadic case. Driven by practical requirements, we discuss an extension of the classical reduction methods to the triadic case and apply them to a medium-sized oncological data set.
|Forschungsgruppe=Computational Logic
}}

Diana Troancă

2014-11-04T17:37:44Z

Diana Troanca:

{{Mitarbeiter
|Vorname=Diana
|Nachname=Troancă
|Akademischer Titel=Drd.
|Forschungsgruppe=Computational Logic
|Stellung=Gastwissenschaftlerin
|Ehemaliger=0
|Telefon=+49 351 463 43559
|Fax=+49 351 463 32827
|Email=diana.troanca@tu-dresden.de
|Raum=INF 2033
|Bild=Diana.JPG
|DBLP=http://www.informatik.uni-trier.de/~ley/pers/hd/t/Troanca:Diana.html
|Alternative URI=http://www.cs.ubbcluj.ro/~dianat/
|Publikationen anzeigen=1
|Abschlussarbeiten anzeigen=0
}}

Datei:Diana.JPG

2014-11-04T17:37:07Z

Diana Troanca: