Communications of the ACM
Statistical analysis with missing data
Statistical analysis with missing data
On the uniqueness of possibilistic measure of uncertainty and information
Fuzzy Sets and Systems - Special Issue: Measures of Uncertainty
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
A Method for Attribute Selection in Inductive Learning Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Models of incremental concept formation
Artificial Intelligence
Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems
Instance-Based Learning Algorithms
Machine Learning
A Statistical-Heuristic Feature Selection Criterion for Decision Tree Induction
IEEE Transactions on Pattern Analysis and Machine Intelligence
A practical approach to feature selection
ML92 Proceedings of the ninth international workshop on Machine learning
Selecting typical instances in instance-based learning
ML92 Proceedings of the ninth international workshop on Machine learning
C4.5: programs for machine learning
C4.5: programs for machine learning
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
The power of sampling in knowledge discovery
PODS '94 Proceedings of the thirteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Improving Generalization with Active Learning
Machine Learning - Special issue on structured connectionist systems
Elements of machine learning
Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
Applications of machine learning and rule induction
Communications of the ACM
Communications of the ACM
Wrappers for performance enhancement and oblivious decision graphs
Wrappers for performance enhancement and oblivious decision graphs
Data mining
The process of knowledge discovery in databases
Advances in knowledge discovery and data mining
Enhancements to the data mining process
Enhancements to the data mining process
Selection of relevant features and examples in machine learning
Artificial Intelligence - Special issue on relevance
Predictive data mining: a practical guide
Predictive data mining: a practical guide
Multidimensional binary search trees used for associative searching
Communications of the ACM
Clustering Algorithms
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining
Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining
Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining
Data Mining and Knowledge Discovery
Applying classification algorithms in practice
Statistics and Computing
Data Mining and Knowledge Discovery: Making Sense Out of Data
IEEE Expert: Intelligent Systems and Their Applications
Machine Learning
Systems for Knowledge Discovery in Databases
IEEE Transactions on Knowledge and Data Engineering
Learning in Dynamically Changing Domains: Theory Revision and Context Dependence Issues
ECML '97 Proceedings of the 9th European Conference on Machine Learning
Peepholing: Choosing Attributes Efficiently for Megainduction
ML '92 Proceedings of the Ninth International Workshop on Machine Learning
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Towards Process-Oriented Tool Support for Knowledge Discovery in Databases
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
Similarity-Driven Sampling for Data Mining
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
Efficient and Effective Clustering Methods for Spatial Data Mining
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Sampling Large Databases for Association Rules
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Using k-d Trees to Improve the Retrieval Step in Case-Based Reasoning
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
SSD '95 Proceedings of the 4th International Symposium on Advances in Spatial Databases
Parallel Induction Algorithms for Data Mining
IDA '97 Proceedings of the Second International Symposium on Advances in Intelligent Data Analysis, Reasoning about Data
RIDE '97 Proceedings of the 7th International Workshop on Research Issues in Data Engineering (RIDE '97) High Performance Database Management for Large-Scale Applications
RIDE '97 Proceedings of the 7th International Workshop on Research Issues in Data Engineering (RIDE '97) High Performance Database Management for Large-Scale Applications
Evaluation of sampling for data mining of association rules
RIDE '97 Proceedings of the 7th International Workshop on Research Issues in Data Engineering (RIDE '97) High Performance Database Management for Large-Scale Applications
A study of distance-based machine learning algorithms
A study of distance-based machine learning algorithms
Finding Prototypes For Nearest Neighbor Classifiers
IEEE Transactions on Computers
Active learning with statistical models
Journal of Artificial Intelligence Research
Improved heterogeneous distance functions
Journal of Artificial Intelligence Research
Average-case analysis of a nearest neighbor algorthim
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 2
Remembering to forget: a competence-preserving case deletion policy for case-based reasoning systems
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
A study of cross-validation and bootstrap for accuracy estimation and model selection
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
A Unifying View on Instance Selection
Data Mining and Knowledge Discovery
A survey of Knowledge Discovery and Data Mining process models
The Knowledge Engineering Review
A graph-based clustering algorithm in large transaction databases
Intelligent Data Analysis
Opinion Learning without Emotional Words
Canadian AI '09 Proceedings of the 22nd Canadian Conference on Artificial Intelligence: Advances in Artificial Intelligence
Learning opinions in user-generated web content
Natural Language Engineering
Improving classifier performance by knowledge-driven data preparation
ICDM'12 Proceedings of the 12th Industrial conference on Advances in Data Mining: applications and theoretical aspects
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