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Könyv Multiple View Framework for Highly Structured Data Herbert Herzog

Multiple View Framework for Highly Structured Data

LinkVis - Linking Visualization

Szerző: Herbert Herzog
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: VDM Verlag
Elérhetőség: Kiadói készleten rendelésre
Küldés 17-27 napon belül
23 625 Ft
At the Department of Child and Adolescent§Neuropsychiatry, Medical University of Vienna, a§psychothe...

Információk a könyvről

Szerző
Herbert Herzog
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2008
oldal
188
EAN
9783639034776
ISBN
3639034775
Enbook ID
06813153
Kiadó
VDM Verlag
Súly
259
Méretek
152 x 229 x 10

Teljes leírás

At the Department of Child and Adolescent§Neuropsychiatry, Medical University of Vienna, a§psychotherapeutic study is taking place, where§alternative (cognitive behavioural) therapeutic§processes §of anorectic girls are analysed. Within that study a§huge amount of time-oriented data is collected, §which need to be synchronized according to different§constraints to be comparable. §Classical statistical methods are not applicable in§the absence of concrete hypotheses and can §hardly capture the complex process of therapeutic§interventions. §In this master thesis a multiple view framework with§a powerful data preprocessing part is designed. §The data preparation provides filtering, aggregation§of values with functions and the conflation of §records with different dates of measurement. The§framework is implemented in a tool called LinkVis §which visualizes the data with Chernoff faces, scatter§plots and parallel coordinates. §The scenario-based evaluation demonstrates the power§of the LinkVis tool on real world problems §and shows the data complexity. The tool is still a§prototype and it needs further improvements. At the Department of Child and Adolescent§Neuropsychiatry, Medical University of Vienna, a§psychotherapeutic study is taking place, where§alternative (cognitive behavioural) therapeuticprocesses §of anorectic girls are analysed. Within that study a§huge amount of time-oriented data is collected, §which need to be synchronized according to different§constraints to be comparable. §Classical statistical methods are not applicable in§the absence of concrete hypotheses and can §hardly capture the complex process of therapeutic§interventions. §In this master thesis a multiple view framework with§a powerful data preprocessing part is designed. §The data preparation provides filtering, aggregation§of values with functions and the conflation of §records with different dates of measurement. The§framework is implemented in a tool called LinkVis §which visualizes the data with Chernoff faces, scatter§plots and parallel coordinates. §The scenario-based evaluation demonstrates the power§of the LinkVis tool on real world problems §and shows the data complexity. The tool is still a§prototype and it needs further improvements.

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