Decision Rule Classifiers for Multi-label Decision Tables

被引：0
|
作者：
Alsolami, Fawaz [1 ]
Azad, Mohammad [1 ]
Chikalov, Igor [1 ]
Moshkov, Mikhail [1 ]
机构：
[1] King Abdullah Univ Sci & Technol, Comp Elect & Math Sci & Engn Div, Thuwal 239556900, Saudi Arabia
来源：
ROUGH SETS AND INTELLIGENT SYSTEMS PARADIGMS, RSEISP 2014 | 2014年 / 8537卷
关键词：
decision rules; rule heuristics; classification;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Recently, multi-label classification problem has received significant attention in the research community. This paper is devoted to study the effect of the considered rule heuristic parameters on the generalization error. The results of experiments for decision tables from UCI Machine Learning Repository and KEEL Repository show that rule heuristics taking into account both coverage and uncertainty perform better than the strategies taking into account a single criterion.
引用
收藏
页码：191 / 197
页数：7
相关论文
共 50 条
  • [1] Minimizing Size of Decision Trees for Multi-label Decision Tables
    Azad, Mohammad
    Moshkov, Mikhail
    FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS, 2014, 2014, 2 : 67 - 74
  • [2] Minimization of Decision Tree Depth for Multi-label Decision Tables
    Azad, Mohammad
    Moshkov, Mikhail
    2014 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING (GRC), 2014, : 7 - 12
  • [3] Fuzzy rule classifiers for multi-label classification
    Prati, Ronaldo C.
    2015 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2015), 2015,
  • [4] Decision functions for chain classifiers based on Bayesian networks for multi-label classification
    Varando, Gherardo
    Bielza, Concha
    Larranaga, Pedro
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2016, 68 : 164 - 178
  • [5] Decision trees for hierarchical multi-label classification
    Vens, Celine
    Struyf, Jan
    Schietgat, Leander
    Dzeroski, Saso
    Blockeel, Hendrik
    MACHINE LEARNING, 2008, 73 (02) : 185 - 214
  • [6] Decision trees for hierarchical multi-label classification
    Celine Vens
    Jan Struyf
    Leander Schietgat
    Sašo Džeroski
    Hendrik Blockeel
    Machine Learning, 2008, 73 : 185 - 214
  • [7] Fuzzy Rough Decision Trees for Multi-label Classification
    Wang, Xiaoxue
    An, Shuang
    Shi, Hong
    Hu, Qinghua
    ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, RSFDGRC 2015, 2015, 9437 : 207 - 217
  • [8] Threshold optimisation for multi-label classifiers
    Pillai, Ignazio
    Fumera, Giorgio
    Roli, Fabio
    PATTERN RECOGNITION, 2013, 46 (07) : 2055 - 2065
  • [9] Measure Optimisation in Multi-label Classifiers
    Pillai, Ignazio
    Fumera, Giorgio
    Roli, Fabio
    2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012), 2012, : 2424 - 2427
  • [10] On rule acquisition in incomplete multi-scale decision tables
    Wu, Wei-Zhi
    Qian, Yuhua
    Li, Tong-Jun
    Gu, Shen-Ming
    INFORMATION SCIENCES, 2017, 378 : 282 - 302
12345