Learnability and the Vapnik-Chervonenkis dimension
Journal of the ACM (JACM)
Optimal Partitioning for Classification and Regression Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
A statistical approach to decision tree modeling
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
ACM SIGART Bulletin
Overfitting and undercomputing in machine learning
ACM Computing Surveys (CSUR)
An experimental and theoretical comparison of model selection methods
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Machine Learning - special issue on inductive logic programming
An Experimental and Theoretical Comparison of Model SelectionMethods
Machine Learning - Special issue on the eighth annual conference on computational learning theory, (COLT '95)
Proactive password checking with decision trees
Proceedings of the 4th ACM conference on Computer and communications security
Decision Tree Induction Based on Efficient Tree Restructuring
Machine Learning
High dictionary compression for proactive password checking
ACM Transactions on Information and System Security (TISSEC)
Axiomatic Approach to Feature Subset Selection Based on Relevance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Viewing all models as “probabilistic”
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
An Efficient, Probabilistically Sound Algorithm for Segmentation andWord Discovery
Machine Learning - Special issue on natural language learning
Scalable algorithms for mining large databases
KDD '99 Tutorial notes of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Toward a theoretical understanding of why and when decision tree pruning algorithms fail
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Minimal cost complexity pruning of meta-classifiers
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
General and Efficient Multisplitting of Numerical Attributes
Machine Learning
XTRACT: a system for extracting document type descriptors from XML documents
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Dynamic power management using adaptive learning tree
ICCAD '99 Proceedings of the 1999 IEEE/ACM international conference on Computer-aided design
Multiple Comparisons in Induction Algorithms
Machine Learning
Efficient algorithms for constructing decision trees with constraints
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Constructing X-of-N Attributes for Decision Tree Learning
Machine Learning
DCG induction using MDL and parsed corpora
Learning language in logic
Enlarging the Margins in Perceptron Decision Trees
Machine Learning
Scalable data mining with model constraints
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Decision tree classification of spatial data streams using Peano Count Trees
Proceedings of the 2002 ACM symposium on Applied computing
SPARTAN: using constrained models for guaranteed-error semantic compression
ACM SIGKDD Explorations Newsletter
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Data Mining and Knowledge Discovery
The Role of Occam‘s Razor in Knowledge Discovery
Data Mining and Knowledge Discovery
PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning
Data Mining and Knowledge Discovery
XTRACT: Learning Document Type Descriptors from XML Document Collections
Data Mining and Knowledge Discovery
An Information Theoretic Approach to Rule Induction from Databases
IEEE Transactions on Knowledge and Data Engineering
An Empirical Study of Domain Knowledge and Its Benefits to Substructure Discovery
IEEE Transactions on Knowledge and Data Engineering
R-MINI: An Iterative Approach for Generating Minimal Rules from Examples
IEEE Transactions on Knowledge and Data Engineering
Knowledge Acquisition from Structured Data: Using Determinate Literals to Assist Search
IEEE Expert: Intelligent Systems and Their Applications
Scalable Discovery of Informative Structural Concepts Using Domain Knowledge
IEEE Expert: Intelligent Systems and Their Applications
Induction of Decision Multi-trees Using Levin Search
ICCS '02 Proceedings of the International Conference on Computational Science-Part I
The Lumberjack Algorithm for Learning Linked Decision Forests
SARA '02 Proceedings of the 4th International Symposium on Abstraction, Reformulation, and Approximation
Rule Induction for Classification of Gene Expression Array Data
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
An Interval Classifier for Database Mining Applications
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
Constructing Efficient Decision Trees by Using Optimized Numeric Association Rules
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
MML Inference of Decision Graphs with Multi-way Joins
AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Knowledge Acquisition from Both Human Expert and Data
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
On Classification and Regression
DS '98 Proceedings of the First International Conference on Discovery Science
Data reduction: discretization of numerical attributes
Handbook of data mining and knowledge discovery
Data mining tasks and methods: Classification: decision-tree discovery
Handbook of data mining and knowledge discovery
Knowledge evaluation: Other evaluations: minimum description length
Handbook of data mining and knowledge discovery
Graph-based hierarchical conceptual clustering
The Journal of Machine Learning Research
Learning from Cluster Examples
Machine Learning
RE-tree: an efficient index structure for regular expressions
The VLDB Journal — The International Journal on Very Large Data Bases
Rule discovery from textual data based on key phrase patterns
Proceedings of the 2004 ACM symposium on Applied computing
Generalizing case frames using a thesaurus and the MDL principle
Computational Linguistics
The Knowledge Engineering Review
Simplifying decision trees: A survey
The Knowledge Engineering Review
HYPPOCRATES: a new proactive password checker
Journal of Systems and Software
Clustering words with the MDL principle
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Generalization Error Bounds for Threshold Decision Lists
The Journal of Machine Learning Research
Towards parameter-free data mining
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
A critical review of multi-objective optimization in data mining: a position paper
ACM SIGKDD Explorations Newsletter
Bellwether analysis: predicting global aggregates from local regions
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Compression-based data mining of sequential data
Data Mining and Knowledge Discovery
Anytime Learning of Decision Trees
The Journal of Machine Learning Research
RE-Tree: an efficient index structure for regular expressions
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
The generalized MDL approach for summarization
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Adaptive Ripple Down Rules method based on minimum description length principle
Intelligent Data Analysis
Rough set based approach for inducing decision trees
Knowledge-Based Systems
Balancing accuracy and parsimony in genetic programming
Evolutionary Computation
A NON-PARAMETRIC APPROACH TO SIMPLICITY CLUSTERING
Applied Artificial Intelligence
Fitness Function Comparison for GA-Based Feature Construction
Current Topics in Artificial Intelligence
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Boosted decision graphs for NLP learning tasks
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
Bellwether analysis: Searching for cost-effective query-defined predictors in large databases
ACM Transactions on Knowledge Discovery from Data (TKDD)
Simplify Multi-valued Decision Trees
ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
Negative Encoding Length as a Subjective Interestingness Measure for Groups of Rules
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
An Optimal Constrained Pruning Strategy for Decision Trees
INFORMS Journal on Computing
Compression-Based Measures for Mining Interesting Rules
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
Occam's Razor and a non-syntactic measure of decision tree complexity
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Analyzing a class of pseudo-random bit generator through inductive machine learning paradigm
Intelligent Data Analysis
Substructure discovery using minimum description length and background knowledge
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Improved use of continuous attributes in C4.5
Journal of Artificial Intelligence Research
Adaptive web sites: conceptual cluster mining
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Occam's razor just got sharper
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Classifiers: a theoretical and empirical study
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
Reduced complexity rule induction
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
Oversearching and layered search in empirical learning
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Constructing nominal X-of-N attributes
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Maximum a posteriori pruning on decision trees and its application to bootstrap BUMPing
Computational Statistics & Data Analysis
The lumberjack algorithm for learning linked decision forests
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
Myths and legends in learning classification rules
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
Inductive learning in probabilistic domain
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
Improving rule-based systems through case-based reasoning
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
A minimal encoding approach to feature discovery
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2
Sparse data and the effect of overfitting avoidance in decision tree induction
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Learning engineering models with the minimum description length principle
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
OC1: randomized induction of oblique decision trees
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Learning from an approximate theory and noisy examples
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
1-vs-others rough decision forest
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
An efficient classifier design integrating rough set and set oriented database operations
Applied Soft Computing
An efficient classifier design integrating Rough Set and Dempster-Shafer Theory
International Journal of Artificial Intelligence and Soft Computing
Compact coding for hyperplane classifiers in heterogeneous environment
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Discrete decision tree induction to avoid overfitting on categorical data
MAMECTIS/NOLASC/CONTROL/WAMUS'11 Proceedings of the 13th WSEAS international conference on mathematical methods, computational techniques and intelligent systems, and 10th WSEAS international conference on non-linear analysis, non-linear systems and chaos, and 7th WSEAS international conference on dynamical systems and control, and 11th WSEAS international conference on Wavelet analysis and multirate systems: recent researches in computational techniques, non-linear systems and control
An effective discretization based on Class-Attribute Coherence Maximization
Pattern Recognition Letters
Learning Bayesian networks with local structure
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Using new data to refine a Bayesian network
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
An agent based privacy preserving mining for distributed databases
CIS'04 Proceedings of the First international conference on Computational and Information Science
Enhanced DB-Subdue: supporting subtle aspects of graph mining using a relational approach
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
A VPRSM based approach for inducing decision trees
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Support vector machine approach for fast classification
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
ComEnVprs: a novel approach for inducing decision tree classifiers
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
MML inference of oblique decision trees
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Movement analysis of medaka (Oryzias Latipes) for an insecticide using decision tree
DS'05 Proceedings of the 8th international conference on Discovery Science
Application of symbolic machine learning to audio signal segmentation
Nonlinear Speech Modeling and Applications
Generalised bottom-up pruning: A model level combination of decision trees
Expert Systems with Applications: An International Journal
ADP: automated diagnosis of performance pathologies using hardware events
Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems
Hierarchical linear support vector machine
Pattern Recognition
Improved decision tree induction: Prioritized Height Balanced tree with entropy to find hidden rules
Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
Adaptive two-view online learning for math topic classification
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
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