标题
Recent advances in decision trees: an updated survey
作者
关键词
-
出版物
ARTIFICIAL INTELLIGENCE REVIEW
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2022-10-11
DOI
10.1007/s10462-022-10275-5
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Reliable Industry 4.0 Based on Machine Learning and IoT for Analyzing, Monitoring, and Securing Smart Meters
- (2021) Mahmoud Elsisi et al. SENSORS
- Optimal Randomized Classification Trees
- (2021) Rafael Blanquero et al. COMPUTERS & OPERATIONS RESEARCH
- Optimal decision trees for categorical data via integer programming
- (2021) Oktay Günlük et al. JOURNAL OF GLOBAL OPTIMIZATION
- Mathematical optimization in classification and regression trees
- (2021) Emilio Carrizosa et al. Top
- Learning decision trees through Monte Carlo tree search: An empirical evaluation
- (2020) Cecília Nunes et al. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
- A parallel fuzzy rule-base based decision tree in the framework of map-reduce
- (2020) Yashuang Mu et al. PATTERN RECOGNITION
- Model tree pruning
- (2019) Xinlei Zhou et al. International Journal of Machine Learning and Cybernetics
- Cost-sensitive decision tree with multiple resource constraints
- (2019) Chia-Chi Wu et al. APPLIED INTELLIGENCE
- Multi-objective evolution of oblique decision trees for imbalanced data binary classification
- (2019) Marwa Chabbouh et al. Swarm and Evolutionary Computation
- Fuzzy trees and forests-Review
- (2019) Zenon A. Sosnowski et al. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
- Informative trees by visual pruning
- (2019) Carmela Iorio et al. EXPERT SYSTEMS WITH APPLICATIONS
- A reflected feature space for CART
- (2019) D. C. Wickramarachchi et al. AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS
- End-to-End Learning of Decision Trees and Forests
- (2019) Thomas M. Hehn et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Single and multiple outputs decision tree classification using bi-level discrete-continues genetic algorithm
- (2019) Mohammad Amin Adibi PATTERN RECOGNITION LETTERS
- Column generation based heuristic for learning classification trees
- (2019) Murat Firat et al. COMPUTERS & OPERATIONS RESEARCH
- Sparsity in optimal randomized classification trees
- (2019) Rafael Blanquero et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Interpretable regression trees using conformal prediction
- (2018) Ulf Johansson et al. EXPERT SYSTEMS WITH APPLICATIONS
- Semi-supervised trees for multi-target regression
- (2018) Jurica Levatić et al. INFORMATION SCIENCES
- Inducing non-orthogonal and non-linear decision boundaries in decision trees via interactive basis functions
- (2018) Antonio Paez et al. EXPERT SYSTEMS WITH APPLICATIONS
- A regression tree approach using mathematical programming
- (2017) Lingjian Yang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Causal Decision Trees
- (2017) Jiuyong Li et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- A cost sensitive decision tree algorithm based on weighted class distribution with batch deleting attribute mechanism
- (2017) Hong Zhao et al. INFORMATION SCIENCES
- Semi-supervised classification trees
- (2017) Jurica Levatić et al. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
- An evolutionary scheme for decision tree construction
- (2017) Nour El Islem Karabadji et al. KNOWLEDGE-BASED SYSTEMS
- Optimal classification trees
- (2017) Dimitris Bertsimas et al. MACHINE LEARNING
- Clustering nominal data using unsupervised binary decision trees: Comparisons with the state of the art methods
- (2017) Badih Ghattas et al. PATTERN RECOGNITION
- Decision tree induction with a constrained number of leaf nodes
- (2016) Chia-Chi Wu et al. APPLIED INTELLIGENCE
- The role of decision tree representation in regression problems – An evolutionary perspective
- (2016) Marcin Czajkowski et al. APPLIED SOFT COMPUTING
- HHCART: An oblique decision tree
- (2016) D.C. Wickramarachchi et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- What makes classification trees comprehensible?
- (2016) Rok Piltaver et al. EXPERT SYSTEMS WITH APPLICATIONS
- Time-constrained cost-sensitive decision tree induction
- (2016) Yen-Liang Chen et al. INFORMATION SCIENCES
- Multivariate decision trees with monotonicity constraints
- (2016) Shenglei Pei et al. KNOWLEDGE-BASED SYSTEMS
- Mastering the game of Go with deep neural networks and tree search
- (2016) David Silver et al. NATURE
- A hybrid classification algorithm by subspace partitioning through semi-supervised decision tree
- (2016) Kyoungok Kim PATTERN RECOGNITION
- Multivariate alternating decision trees
- (2016) Hong Kuan Sok et al. PATTERN RECOGNITION
- Evolutionary induction of a decision tree for large-scale data: a GPU-based approach
- (2016) Krzysztof Jurczuk et al. SOFT COMPUTING
- Example-dependent cost-sensitive decision trees
- (2015) Alejandro Correa Bahnsen et al. EXPERT SYSTEMS WITH APPLICATIONS
- Learning ELM-Tree from big data based on uncertainty reduction
- (2015) Ran Wang et al. FUZZY SETS AND SYSTEMS
- Rank discrimination measures for enforcing monotonicity in decision tree induction
- (2015) Christophe Marsala et al. INFORMATION SCIENCES
- A cost sensitive decision tree algorithm with two adaptive mechanisms
- (2015) Xiangju Li et al. KNOWLEDGE-BASED SYSTEMS
- Fuzzy rule based decision trees
- (2015) Xianchang Wang et al. PATTERN RECOGNITION
- Sparse alternating decision tree
- (2015) Hong Kuan Sok et al. PATTERN RECOGNITION LETTERS
- Segment Based Decision Tree Induction With Continuous Valued Attributes
- (2015) Ran Wang et al. IEEE Transactions on Cybernetics
- Semi-supervised self-training for decision tree classifiers
- (2015) Jafar Tanha et al. International Journal of Machine Learning and Cybernetics
- Discussion
- (2014) Thomas Rusch et al. INTERNATIONAL STATISTICAL REVIEW
- Fifty Years of Classification and Regression Trees
- (2014) Wei-Yin Loh INTERNATIONAL STATISTICAL REVIEW
- A survey of cost-sensitive decision tree induction algorithms
- (2013) Susan Lomax et al. ACM COMPUTING SURVEYS
- Fisher’s decision tree
- (2013) Asdrúbal López-Chau et al. EXPERT SYSTEMS WITH APPLICATIONS
- Interpretable clustering using unsupervised binary trees
- (2013) Ricardo Fraiman et al. Advances in Data Analysis and Classification
- The number of classes as a source for instability of decision tree algorithms in high dimensional datasets
- (2012) José Augusto Baranauskas ARTIFICIAL INTELLIGENCE REVIEW
- Decision trees: a recent overview
- (2011) S. B. Kotsiantis ARTIFICIAL INTELLIGENCE REVIEW
- Rank Entropy-Based Decision Trees for Monotonic Classification
- (2011) Qinghua Hu et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Geometric Decision Tree
- (2011) N. Manwani et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- A Survey of Evolutionary Algorithms for Decision-Tree Induction
- (2011) Rodrigo Coelho Barros et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE
- Sparse Discriminant Analysis
- (2011) Line Clemmensen et al. TECHNOMETRICS
- Classification and regression trees
- (2011) Wei-Yin Loh Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
- Improving the precision of classification trees
- (2010) Wei-Yin Loh Annals of Applied Statistics
- Optimal constraint-based decision tree induction from itemset lattices
- (2010) Siegfried Nijssen et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Learning model trees from evolving data streams
- (2010) Elena Ikonomovska et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Information entropy for ordinal classification
- (2010) QingHua Hu et al. Science China-Information Sciences
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now