Communications of the ACM
The Strength of Weak Learnability
Machine Learning
Instance-Based Learning Algorithms
Machine Learning
Elements of information theory
Elements of information theory
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
C4.5: programs for machine learning
C4.5: programs for machine learning
The power of sampling in knowledge discovery
PODS '94 Proceedings of the thirteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
A sequential algorithm for training text classifiers
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Improving Generalization with Active Learning
Machine Learning - Special issue on structured connectionist systems
The nature of statistical learning theory
The nature of statistical learning theory
Elements of machine learning
Recursive Automatic Bias Selection for Classifier Construction
Machine Learning - Special issue on bias evaluation and selection
Boosting a weak learning algorithm by majority
Information and Computation
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
Selection of relevant features and examples in machine learning
Artificial Intelligence - Special issue on relevance
Lazy learning
Random sampling for histogram construction: how much is enough?
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Predictive data mining: a practical guide
Predictive data mining: a practical guide
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient progressive sampling
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
A study of support vectors on model independent example selection
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Handling concept drifts in incremental learning with support vector machines
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Machine Learning
Data Warehouse: From Architecture to Implementation
Data Warehouse: From Architecture to Implementation
Feature Extraction, Construction and Selection: A Data Mining Perspective
Feature Extraction, Construction and Selection: A Data Mining Perspective
Feature Selection for Knowledge Discovery and Data Mining
Feature Selection for Knowledge Discovery and Data Mining
Modern Information Retrieval
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
A Survey of Methods for Scaling Up Inductive Algorithms
Data Mining and Knowledge Discovery
Adaptive Sampling Methods for Scaling Up Knowledge Discovery Algorithms
Data Mining and Knowledge Discovery
Advances in Instance Selection for Instance-Based Learning Algorithms
Data Mining and Knowledge Discovery
Likelihood-Based Data Squashing: A Modeling Approach to Instance Construction
Data Mining and Knowledge Discovery
A Unifying View on Instance Selection
Data Mining and Knowledge Discovery
Accurate estimation of the number of tuples satisfying a condition
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Incremental Induction of Decision Trees
Machine Learning
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Employing EM and Pool-Based Active Learning for Text Classification
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Active learning with statistical models
Journal of Artificial Intelligence Research
A novel Supervised Instance Selection algorithm
International Journal of Business Intelligence and Data Mining
A memetic algorithm for evolutionary prototype selection: A scaling up approach
Pattern Recognition
Floatcascade learning for fast imbalanced web mining
Proceedings of the 17th international conference on World Wide Web
Spiral removal of exceptional patients for mining chronic hepatitis data
New Generation Computing
On profiling blogs with representative entries
Proceedings of the second workshop on Analytics for noisy unstructured text data
Making CN2-SD subgroup discovery algorithm scalable to large size data sets using instance selection
Expert Systems with Applications: An International Journal
A search space reduction methodology for data mining in large databases
Engineering Applications of Artificial Intelligence
A divide-and-conquer recursive approach for scaling up instance selection algorithms
Data Mining and Knowledge Discovery
Prototype selection based on sequential search
Intelligent Data Analysis
Instance Selection by Border Sampling in Multi-class Domains
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
On strategies for imbalanced text classification using SVM: A comparative study
Decision Support Systems
Constructing ensembles of classifiers by means of weighted instance selection
IEEE Transactions on Neural Networks
A search space reduction methodology for large databases: a case study
ICDM'07 Proceedings of the 7th industrial conference on Advances in data mining: theoretical aspects and applications
A review of instance selection methods
Artificial Intelligence Review
A randomized sphere cover classifier
IDEAL'10 Proceedings of the 11th international conference on Intelligent data engineering and automated learning
Transductive learning from textual data with relevant example selection
DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part II
Scaling up feature selection by means of democratization
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
A clustering-based data reduction for very large spatio-temporal datasets
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
INSIGHT: efficient and effective instance selection for time-series classification
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
Granular instances selection for fuzzy modeling
MLDM'11 Proceedings of the 7th international conference on Machine learning and data mining in pattern recognition
Information Sciences: an International Journal
A comparison of two strategies for scaling up instance selection in huge datasets
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
Instance selection for class imbalanced problems by means of selecting instances more than once
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
Improving SVM-Linear predictions using CART for example selection
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
FISA: feature-based instance selection for imbalanced text classification
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Multi-strategy instance selection in mining chronic hepatitis data
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
An incremental class boundary preserving hypersphere classifier
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
Incorporating knowledge in evolutionary prototype selection
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
InstanceRank based on borders for instance selection
Pattern Recognition
On instance selection in audio based emotion recognition
ANNPR'12 Proceedings of the 5th INNS IAPR TC 3 GIRPR conference on Artificial Neural Networks in Pattern Recognition
Genetic algorithms in feature and instance selection
Knowledge-Based Systems
A scalable approach to simultaneous evolutionary instance and feature selection
Information Sciences: an International Journal
An automated search space reduction methodology for large databases
ICDM'13 Proceedings of the 13th international conference on Advances in Data Mining: applications and theoretical aspects
An efficient multi-objective evolutionary fuzzy system for regression problems
International Journal of Approximate Reasoning
Engineering Applications of Artificial Intelligence
IDS false alarm reduction using an instance selection KNN-memetic algorithm
International Journal of Metaheuristics
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