Boolean Feature Discovery in Empirical Learning
Machine Learning
Improved Estimates for the Accuracy of Small Disjuncts
Machine Learning
Elements of information theory
Elements of information theory
Neural networks and the bias/variance dilemma
Neural Computation
C4.5: programs for machine learning
C4.5: programs for machine learning
Comparing connectionist and symbolic learning methods
Proceedings of a workshop on Computational learning theory and natural learning systems (vol. 1) : constraints and prospects: constraints and prospects
An Information Theoretic Approach to Rule Induction from Databases
IEEE Transactions on Knowledge and Data Engineering
A study of distance-based machine learning algorithms
A study of distance-based machine learning algorithms
Concept learning and the problem of small disjuncts
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
Forgetting Exceptions is Harmful in Language Learning
Machine Learning - Special issue on natural language learning
Constructing X-of-N Attributes for Decision Tree Learning
Machine Learning
Lazy Learning of Bayesian Rules
Machine Learning
Non-traditional applications of data mining
Data mining for design and manufacturing
Interactive Case-Based Reasoning in Sequential Diagnosis
Applied Intelligence
Possibilistic Induction in Decision-Tree Learning
ECML '02 Proceedings of the 13th European Conference on Machine Learning
A Lazy Model-Based Algorithm for On-Line Classification
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Local Attribute Value Grouping for Lazy Rule Induction
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
SNNB: A Selective Neighborhood Based Naïve Bayes for Lazy Learning
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Cluster-Based Algorithms for Dealing with Missing Values
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Feature Transformation and Multivariate Decision Tree Induction
DS '98 Proceedings of the First International Conference on Discovery Science
Instance Guided Rule Induction
DS '98 Proceedings of the First International Conference on Discovery Science
Rough sets and boolean reasoning
Granular computing
Rough sets perspective on data and knowledge
Handbook of data mining and knowledge discovery
Data reduction: feature aggregation
Handbook of data mining and knowledge discovery
Case studies: Public domain, multiple mining tasks systems: MLC++
Handbook of data mining and knowledge discovery
Mining with rarity: a unifying framework
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Decision trees with minimal costs
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Online adaptive decision trees
Neural Computation
MOB-ESP and other improvements in probability estimation
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
ELA—A new Approach for Learning Agents
Autonomous Agents and Multi-Agent Systems
"Missing Is Useful': Missing Values in Cost-Sensitive Decision Trees
IEEE Transactions on Knowledge and Data Engineering
Feature value acquisition in testing: a sequential batch test algorithm
ICML '06 Proceedings of the 23rd international conference on Machine learning
Test Strategies for Cost-Sensitive Decision Trees
IEEE Transactions on Knowledge and Data Engineering
Multi-evidence, multi-criteria, lazy associative document classification
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
RIONA: A New Classification System Combining Rule Induction and Instance-Based Learning
Fundamenta Informaticae
Optimizing combustion efficiency of a circulating fluidized boiler: A data mining approach
International Journal of Knowledge-based and Intelligent Engineering Systems - Selected papers from the KES2004 conference
Comparing probability measures using possibility theory: A notion of relative peakedness
International Journal of Approximate Reasoning
Customized classification learning based on query projections
Information Sciences: an International Journal
Toward Exploratory Test-Instance-Centered Diagnosis in High-Dimensional Classification
IEEE Transactions on Knowledge and Data Engineering
Semi-parametric optimization for missing data imputation
Applied Intelligence
Missing values prediction with K2
Intelligent Data Analysis
Tree structured classifiers, interconnected data, and predictive accuracy
Intelligent Data Analysis
Bayesian networks for imputation in classification problems
Journal of Intelligent Information Systems
Privacy-preserving imputation of missing data
Data & Knowledge Engineering
International Journal of Computer Applications in Technology
Decision trees as possibilistic classifiers
International Journal of Approximate Reasoning
A lazy bagging approach to classification
Pattern Recognition
Usages of Generalization in Case-Based Reasoning
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Entropy-based associative classification algorithm for mining manufacturing data
International Journal of Computer Integrated Manufacturing
Recent Advances in Reinforcement Learning
On the influence of imputation in classification: practical issues
Journal of Experimental & Theoretical Artificial Intelligence
Knowledge Discovery with Explained Case-Based Reasoning
Proceedings of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
On the Use of Clustering in Possibilistic Decision Tree Induction
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
A Multi-Strategy Approach to KNN and LARM on Small and Incrementally Induced Prediction Knowledge
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Discovering association rules in incomplete transactional databases
Transactions on rough sets VI
Learning locally weighted C4.4 for class probability estimation
DS'07 Proceedings of the 10th international conference on Discovery science
Database implementation of a model-free classifier
ADBIS'07 Proceedings of the 11th East European conference on Advances in databases and information systems
Missing value imputation based on data clustering
Transactions on computational science I
Possibilistic missing data estimation
AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Towards a possibilistic processing of missing values under complex conditions
WSEAS Transactions on Information Science and Applications
An automated solution to the multiuser carved data ascription problem
IEEE Transactions on Information Forensics and Security
Learning Instance-Specific Predictive Models
The Journal of Machine Learning Research
Classification of melanomas in situ using knowledge discovery with explained case-based reasoning
Artificial Intelligence in Medicine
Evaluation of a probabilistic approach to classify incomplete objects using decision trees
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
Analogy-based reasoning in classifier construction
Transactions on Rough Sets IV
Approximate boolean reasoning: foundations and applications in data mining
Transactions on Rough Sets V
Lazy averaged one-dependence estimators
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
A new version of the Fuzzy-ID3 algorithm
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
RIONA: A New Classification System Combining Rule Induction and Instance-Based Learning
Fundamenta Informaticae
Fundamenta Informaticae
Enhanced spatiotemporal relational probability trees and forests
Data Mining and Knowledge Discovery
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
Instance driven clustering for the imputation of missing data in KDD
International Journal of Communication Networks and Distributed Systems
Lazy attribute selection: Choosing attributes at classification time
Intelligent Data Analysis
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Lazy learning algorithms, exemplified by nearest-neighbor algorithms, do not induce a concise hypothesis from a given training set; the inductive process is delayed until a test instance is given. Algorithms for constructing decision trees, such as C4.5, ID3, and CART create a single "best" decision tree during the training phase, and this tree is then used to classify test instances. The tests at the nodes of the constructed tree are good on average, but there may be better tests for classifying a specific instance. We propose a lazy decision tree algorithm--LAZYDT--that conceptually constructs the "best" decision tree for each test instance. In practice, only a path needs to be constructed, and a caching scheme makes the algorithm fast. The algorithm is robust with respect to missing values without resorting to the complicated methods usually seen in induction of decision trees. Experiments on real and artificial problems are presented.