Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 227,192,735 papers from all fields of science
Search
Sign In
Create Free Account
Information gain ratio
In decision tree learning, Information gain ratio is a ratio of information gain to the intrinsic information. It is used to reduce a bias towards…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
5 relations
Decision tree learning
Entropy (information theory)
Information gain in decision trees
Kullback–Leibler divergence
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Optimasi Algoritma Naïve Bayes dengan Information Gain Ratio untuk Menangani Dataset Berdimensi Tinggi
M. A. A. Karomi
,
Ivandari Ivandari
2019
Corpus ID: 213053426
Perkembangan ilmu komputer sekarang memungkinkan adanya pencatatan semua proses bisnis di segala bidang dengan media…
Expand
2016
2016
Big Data Analytics toward Intelligent Mobile Service Provisions of Customer Relationship Management in e-Commerce
Luyao Xu
,
Hai-Cheng Chu
2016
Corpus ID: 44169693
The rapid development of wireless technology has accelerated the use of mobile devices and mobile services between customers and…
Expand
2015
2015
Modeling of Energy Demand of a High-Tech Greenhouse in Warm Climate Based on Bayesian Networks
C. Hernández
,
J. Sagrado
,
F. Rodríguez
,
J. C. Moreno
,
J. A. Sanchez
2015
Corpus ID: 53990488
This work analyzes energy demand in a High-Tech greenhouse and its characterization, with the objective of building and…
Expand
2015
2015
SIGNIFICANCE OF INFORMATION GAIN RATIO FOR IMPROVING CLASSIFICATION OF HEART DISEASES
R. Karthikeyan
,
A. Kumaravel
,
V. Khanaa
2015
Corpus ID: 17272936
Mechanizing the prediction of new patients' heart disease diagnosis based on data mining on historical data is an extremely…
Expand
2013
2013
Improved C4.5 decision tree algorithm based on sample selection
Fucai Chen
,
Xiaowei Li
,
Lixiong Liu
IEEE 4th International Conference on Software…
2013
Corpus ID: 17996656
To improve the classification accuracy and reduce the training time of large sample, and find the best training set, this paper…
Expand
2012
2012
Intrusion Detection and Classification Using Improved ID3 Algorithm of Data Mining
Sandeep Kumar
,
Satbir Jain
2012
Corpus ID: 212569944
—I ntrusion detection technology exists a lot of problems, such as low performance, low intelligent level, high false alarm rate…
Expand
2006
2006
Semi-supervised Data Organization for Interactive Anomaly Analysis.
J. Aslam
,
S. Bratus
,
Virgil Pavlu
International Conference on Machine Learning and…
2006
Corpus ID: 13091820
We consider the problem of interactive iterative analysis of datasets that consist of a large number of records represented as…
Expand
2004
2004
Information measures in fuzzy decision trees
Xiaomeng Wang
,
C. Borgelt
IEEE International Conference on Fuzzy Systems
2004
Corpus ID: 9914751
Decision trees are a popular form of classification models. It is well known that classical trees lack the ability of modelling…
Expand
2003
2003
Dimensionality reduction in computer-aided decision making
Y. Yamashita
2003
Corpus ID: 60715024
2002
2002
Information Gain Ratio meets Maximal Marginal Relevance - A method of Summarization for Multiple Documents
Tatsunori Mori
,
Takuro Sasaki
NTCIR Conference on Evaluation of Information…
2002
Corpus ID: 2815513
In this paper, we propose a method to make a summary from multiple documents with taking account of comprehensibility and…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE