Neurofuzzy and EUFABES as tools for knowledge discovery in visual field data

被引：0
|
作者：
Zahlmann, G [1 ]
Scherf, M [1 ]
Wegner, A [1 ]
机构：
[1] GSF Forschungszentrum Umwelt & Gesundheit, Medis, D-85764 Neuherberg, Germany
来源：
PROCEEDINGS OF THE 20TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 20, PTS 1-6: BIOMEDICAL ENGINEERING TOWARDS THE YEAR 2000 AND BEYOND | 1998年 / 20卷
关键词：
neurofuzzy; feature selection; knowledge discovery; ophthalmology;
D O I：
暂无
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
A knowledge based glaucoma monitor based on papilla findings, intraocular pressure and visual held data has been developed successfully. To explain and interpret the classifier decision concerning the visual field data in the single decision and over time a neurofuzzy approach has been applied. A distance based feature selection approach is used to find a feature subset which leads to Hell separated classes in the measurement space. It is also used as first step to get clusters of interest for neurofuzzy interpretation.
引用
收藏
页码：1360 / 1362
页数：3
相关论文
共 50 条
  • [1] Research on Visual Data Mining and Knowledge Discovery
    Zhang Qingwei
    RECENT ADVANCE IN STATISTICS APPLICATION AND RELATED AREAS, VOLS I AND II, 2009, : 1010 - 1013
  • [2] DATA MINING AND KNOWLEDGE DISCOVERY TOOLS FOR EXPLOITING BIG EARTH OBSERVATION DATA
    Molina, D. Espinoza
    Datcu, M.
    36TH INTERNATIONAL SYMPOSIUM ON REMOTE SENSING OF ENVIRONMENT, 2015, 47 (W3): : 627 - 633
  • [3] Visual Knowledge Discovery from Public Transit Performance Data
    Leung, Carson K.
    Munshi, Mohammadafaz V.
    Patel, Vrushil Kiritkumar
    Nhu Minh Ngoc Pham
    Wu, Yixi
    2023 27TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION, IV, 2023, : 323 - 328
  • [4] Visualization and Visual Knowledge Discovery from Big Uncertain Data
    Leung, Carson K.
    Madill, Evan W. R.
    Pazdor, Adam
    2022 26TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV), 2022, : 330 - 335
  • [5] A DESCRIPTIVE FRAMEWORK FOR THE FIELD OF DATA MINING AND KNOWLEDGE DISCOVERY
    Peng, Yi
    Kou, Gang
    Shi, Yong
    Chen, Zhengxin
    INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2008, 7 (04) : 639 - 682
  • [6] Information visualization with text data mining for knowledge discovery tools in bioinformatics
    Park, J
    Lee, C
    Park, JC
    ON THE CONVERGENCE OF BIO-INFORMATION-, ENVIRONMENTAL-, ENERGY-, SPACE- AND NANO-TECHNOLOGIES, PTS 1 AND 2, 2005, 277-279 : 259 - 265
  • [7] Information visualization with text data mining for knowledge discovery tools in bioinformatics
    Park, Jinah
    Lee, Changsu
    Park, Jong C.
    Key Engineering Materials, 2005, 277-279 (0I) : 259 - 265
  • [8] Lossless Visual Knowledge Discovery in High Dimensional Data with Elliptic Paired Coordinates
    McDonald, Rose
    Kovalerchuk, Boris
    2020 24TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV 2020), 2020, : 286 - 291
  • [9] Knowledge Discovery in Simulation Data
    Feldkamp, Niclas
    Bergmann, Soeren
    Strassburger, Steffen
    ACM TRANSACTIONS ON MODELING AND COMPUTER SIMULATION, 2020, 30 (04):
  • [10] Data warehousing and knowledge discovery
    Mohania, M
    Tjoa, AM
    Kambayashi, Y
    JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, 2000, 15 (01) : 5 - 6
12345