Data Mining with Histograms and Domain Knowledge - Case Studies and Considerations

被引：3
|
作者：
Rauch, Jan [1 ]
Simunek, Milan [1 ]
机构：
[1] Univ Econ, Fac Informat & Stat, Nam W Churchilla 4, Prague 13067 3, Czech Republic
来源：
FUNDAMENTA INFORMATICAE | 2019年 / 166卷 / 04期
关键词：
histograms; logical calculus of histograms; expert deduction rules; GUHA procedure CF-Miner; ASSOCIATION RULES;
D O I：
10.3233/FI-2019-1805
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
An approach to data mining with histograms is introduced. Several examples of applying data mining for various types of histogram are presented. The problem of filtering out uninteresting histograms is described. It is shown that no suitable, logically correct deduction rules to solve this problem exist. Expert deduction rules are introduced as deduction rules supported by indisputable facts, however, incorrect according to mathematical logic. A method for deciding whether a given expert deduction rule is correct according to a given indisputable fact is developed. Applied examples of correct expert deduction rules are described.
引用
收藏
页码：349 / 378
页数：30
相关论文
共 50 条
  • [41] From spoken narratives to domain knowledge: Mining linguistic data for medical image understanding
    Guo, Xuan
    Yu, Qi
    Alm, Cecilia Ovesdotter
    Calvelli, Cara
    Pelz, Jeff B.
    Shi, Pengcheng
    Haake, Anne R.
    ARTIFICIAL INTELLIGENCE IN MEDICINE, 2014, 62 (02) : 79 - 90
  • [42] Incorporating monotonic domain knowledge in support vector learning for data mining regression problems
    Chuang, Hui-Chi
    Chen, Chih-Chuan
    Li, Sheng-Tun
    NEURAL COMPUTING & APPLICATIONS, 2020, 32 (15): : 11791 - 11805
  • [43] Automated Discovery of Small Business Domain Knowledge Using Web Crawling and Data Mining
    Kim, Sung-min
    Ha, Young-guk
    2016 INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING (BIGCOMP), 2016, : 481 - 484
  • [44] Bimodal Vein Data Mining via Cross-Selected-Domain Knowledge Transfer
    Wang, Jun
    Wang, Guoqing
    Zhou, Mei
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2018, 13 (03) : 733 - 744
  • [45] Incorporating monotonic domain knowledge in support vector learning for data mining regression problems
    Hui-Chi Chuang
    Chih-Chuan Chen
    Sheng-Tun Li
    Neural Computing and Applications, 2020, 32 : 11791 - 11805
  • [46] KNOWLEDGE DISCOVERY IN SIMULATION DATA: A CASE STUDY OF A GOLD MINING FACILITY
    Feldkamp, Niclas
    Bergmann, Soeren
    Strassburger, Steffen
    Schulze, Thomas
    2016 WINTER SIMULATION CONFERENCE (WSC), 2016, : 1607 - 1618
  • [47] Association Rule Mining with Domain Knowledge Constraint
    Pan, Haiwei
    Han, Qiong
    Yin, Guisheng
    Zhang, Wei
    Li, Jianzhong
    2008 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM AND KNOWLEDGE ENGINEERING, VOLS 1 AND 2, 2008, : 273 - +
  • [48] Mining domain knowledge from app descriptions
    Liu, Yuzhou
    Liu, Lei
    Liu, Huaxiao
    Wang, Xiaoyu
    Yang, Hongji
    JOURNAL OF SYSTEMS AND SOFTWARE, 2017, 133 : 126 - 144
  • [49] Case mining in knowledge maintenance
    Li, Ming
    Journal of Convergence Information Technology, 2012, 7 (21) : 314 - 322
  • [50] IN SILICO KNOWLEDGE ACQUISITION AND DATA MINING IN THE CYP-CHEMICAL INTERACTION STUDIES
    Yamashita, Fumiyoshi
    DRUG METABOLISM REVIEWS, 2007, 39 : 5 - 6
12345