Techniques for dealing with missing values in classification

被引：0

作者：

Liu, WZ

White, AP

Thompson, SG

Bramer, MA

机构：

[1] Univ Portsmouth, Artificial Intelligence Res Grp, Dept Informat Sci, Milton PO4 8JF, Hampshire, England

[2] Univ Birmingham, Sch Math & Stat, Birmingham B15 2TT, W Midlands, England

来源：

ADVANCES IN INTELLIGENT DATA ANALYSIS: REASONING ABOUT DATA | 1997年 / 1280卷

关键词：

missing values; dynamic path generation; intelligent data analysis; inductive learning; knowledge discovery; data mining; machine learning;

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：

A brief overview of the history of the development of decision tree induction algorithms is followed by a review of techniques for dealing with missing attribute values in the operation of these methods. The technique of dynamic path generation is described in the context of tree-based classification methods. The waste of data which can result from casewise deletion of missing values in statistical algorithms is discussed and alternatives proposed.

引用

页码：527 / 536

页数：10

共 50 条

[41] Rough Set Analysis of Classification Data with Missing Values
Szelag, Marcin
Blaszczynski, Jerzy
Slowinski, Roman
[J]. ROUGH SETS, 2017, 10313 : 552 - 565
[42] Ordering attributes for missing values prediction and data classification
Hruschka, ER
Ebecken, NFF
[J]. DATA MINING III, 2002, 6 : 593 - 601
[43] Handling missing values when applying classification models
Saar-Tsechansky, Maytal
Provost, Foster
[J]. JOURNAL OF MACHINE LEARNING RESEARCH, 2007, 8 : 1625 - 1657
[44] SOME WORK ON TREATMENT OF MISSING VALUES IN CLASSIFICATION PROBLEMS
CHAN, LS
DUNN, OJ
[J]. BIOMETRICS, 1972, 28 (04) : 1164 - 1165
[45] Adapting Fuzzy Rough Sets for Classification with Missing Values
Lenz, Oliver Urs
Peralta, Daniel
Cornelis, Chris
[J]. ROUGH SETS (IJCRS 2021), 2021, 12872 : 192 - 200
[46] Pattern classification with missing values using Multitask LearningAC
Garcia-Laencina, Pedro J.
Sancho-Gomez, Jose-Luis
Figueiras-Vidal, Anibal R.
[J]. 2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10, 2006, : 3594 - +
[47] Sensitivity of Missing Values in Classification Tree for Large Sample
Hasan, Norsida
Adam, Mohd Bakri
Mustapha, Norwati
Abu Bakar, Mohd Rizam
[J]. 5TH INTERNATIONAL CONFERENCE ON RESEARCH AND EDUCATION IN MATHEMATICS (ICREM5), 2012, 1450 : 374 - 379
[48] Visualization of the critical patterns of missing values in classification data
Wang, Hai
Wang, Shouhong
[J]. ADVANCES IN VISUAL INFORMATION SYSTEMS, 2007, 4781 : 267 - +
[49] Fast Imbalanced Classification of Healthcare Data with Missing Values
Razzaghi, Talayeh
Roderick, Oleg
Safro, Ilya
Marko, Nick
[J]. 2015 18TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), 2015, : 774 - 781
[50] Dealing with missing images
Geneix, Nicolas
[J]. POSITIF, 2024, (757): : 21 - 22

← 1 2 3 4 5 →