Efficient Algorithms for Robust Pattern Mining on Structured Objects with Applications to Structure-Based Drug Design

Efficient Algorithms for Robust Pattern Mining on Structured Objects with Applications to Structure-Based Drug Design

Many complex real-world objects cannot be mapped onto “flat” feature vector representations without a significant loss of information. Recently, the use of graph-based models gained increasing attention in the field of data mining. This thesis presents efficient methods for fuzzy pattern mining in...

詳細記述

保存先:
書誌詳細
第一著者: Weskamp,Nils
その他の著者: Hüllermeier, Eyke (Prof. Dr.) (論文の指導者)
フォーマット: Dissertation
言語:英語
出版事項: Philipps-Universität Marburg 2006
主題:
Graphentheorie
Medical information systems
Health
Biology and genetics (REVISED)
LIFE AND MEDICAL SCIENCES
Bioinformatik
Drug Design
Mustererkennung
Informatik
Pattern Recognition
Wirkstoff-Rezeptor-Bindung
Greedy-Algorithmus
Data Mining
Wirkstoff
Graph Mining
Data processing Computer science
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予約･返却請求
請求記号: urn:nbn:de:hebis:04-z2007-03630
出版日付: 2007-07-12
Datum der Annahme: 2007-02-23
Downloads: 33 (2024), 85 (2023), 92 (2022), 167 (2021), 128 (2020), 137 (2019), 110 (2018)
Lizenz: https://rightsstatements.org/vocab/InC-NC/1.0/
アクセスURL: https://archiv.ub.uni-marburg.de/diss/z2007/0363
https://doi.org/10.17192/z2007.0363

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