Efficient progressive sampling

Mining high-speed data streams

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining

Active learning using adaptive resampling

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining

Sampling from databases using B+-trees

Proceedings of the ninth international conference on Information and knowledge management

A Survey of Methods for Scaling Up Inductive Algorithms

Data Mining and Knowledge Discovery

On Issues of Instance Selection

Data Mining and Knowledge Discovery

Adaptive Sampling Methods for Scaling Up Knowledge Discovery Algorithms

Data Mining and Knowledge Discovery

A Unifying View on Instance Selection

Data Mining and Knowledge Discovery

Distributed learning with bagging-like performance

Pattern Recognition Letters

Efficiently Determining the Starting Sample Size for Progressive Sampling

EMCL '01 Proceedings of the 12th European Conference on Machine Learning

Sampling-Based Relative Landmarks: Systematically Test-Driving Algorithms Before Choosing

EPIA '01 Proceedings of the10th Portuguese Conference on Artificial Intelligence on Progress in Artificial Intelligence, Knowledge Extraction, Multi-agent Systems, Logic Programming and Constraint Solving

Sequential Sampling Algorithms: Unified Analysis and Lower Bounds

SAGA '01 Proceedings of the International Symposium on Stochastic Algorithms: Foundations and Applications

Data Reduction Using Multiple Models Integration

PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery

The Need for Low Bias Algorithms in Classification Learning from Large Data Sets

PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery

Modelling Classification Performance for Large Data Sets

WAIM '01 Proceedings of the Second International Conference on Advances in Web-Age Information Management

Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases

PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications

Scaling Up a Boosting-Based Learner via Adaptive Sampling

PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications

S3Bagging: Fast Classifier Induction Method with Subsampling and Bagging

IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis

Distributed Pasting of Small Votes

MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems

Heterogeneous image database selection on the web

Journal of Systems and Software

Applying data mining to intrusion detection: the quest for automation, efficiency, and credibility

ACM SIGKDD Explorations Newsletter

Mining complex models from arbitrarily large databases in constant time

Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining

Progressive rademacher sampling

Eighteenth national conference on Artificial intelligence

Data reduction: sampling

Handbook of data mining and knowledge discovery

Data mining tasks and methods: scalability

Handbook of data mining and knowledge discovery

Machine learning

Handbook of data mining and knowledge discovery

The learning-curve sampling method applied to model-based clustering

The Journal of Machine Learning Research

Tree induction vs. logistic regression: a learning-curve analysis

The Journal of Machine Learning Research

Distributed multivariate regression based on influential observations

Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining

Efficient Multisplitting Revisited: Optima-Preserving Elimination of Partition Candidates

Data Mining and Knowledge Discovery

Learning Ensembles from Bites: A Scalable and Accurate Approach

The Journal of Machine Learning Research

Compression, Clustering, and Pattern Discovery in Very High-Dimensional Discrete-Attribute Data Sets

IEEE Transactions on Knowledge and Data Engineering

Toward Intelligent Assistance for a Data Mining Process: An Ontology-Based Approach for Cost-Sensitive Classification

IEEE Transactions on Knowledge and Data Engineering

Efficient Algorithms for Mining and Incremental Update of Maximal Frequent Sequences

Data Mining and Knowledge Discovery

Learning to identify fragmented words in spoken discourse

EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2

Learning to predict pitch accents and prosodic boundaries in Dutch

ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1

Design of a next generation sampling service for large scale data analysis applications

Proceedings of the 19th annual international conference on Supercomputing

Reinforcement learning for active model selection

UBDM '05 Proceedings of the 1st international workshop on Utility-based data mining

Cost-Constrained Data Acquisition for Intelligent Data Preparation

IEEE Transactions on Knowledge and Data Engineering

Predicting relative performance of classifiers from samples

ICML '05 Proceedings of the 22nd international conference on Machine learning

Memory-based one-step named-entity recognition: effects of seed list features, classifier stacking, and unannotated data

CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4

Bridging Local and Global Data Cleansing: Identifying Class Noise in Large, Distributed Data Datasets

Data Mining and Knowledge Discovery

Optimization-based feature selection with adaptive instance sampling

Computers and Operations Research

Multi-scaling sampling: an adaptive sampling method for discovering approximate association rules

Journal of Computer Science and Technology

Intelligent agents in electronic markets for information goods: customization, preference revelation and pricing

Decision Support Systems - Special issue: Economics and information systems

Online Random Shuffling of Large Database Tables

IEEE Transactions on Knowledge and Data Engineering

On the Computational Complexity of Optimal Multisplitting

Fundamenta Informaticae - Intelligent Systems

Combining multiple class distribution modified subsamples in a single tree

Pattern Recognition Letters

Maximizing classifier utility when training data is costly

ACM SIGKDD Explorations Newsletter

Quality-Aware Sampling and Its Applications in Incremental Data Mining

IEEE Transactions on Knowledge and Data Engineering

Association-based similarity testing and its applications

Intelligent Data Analysis

Sampling from databases using B$^+$-Trees

Intelligent Data Analysis

Inferring Adaptive Regulation Thresholds and Association Rules from Gene Expression Data through Combinatorial Optimization Learning

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

Input data for decision trees

Expert Systems with Applications: An International Journal

Power-law relationship and self-similarity in the itemset support distribution: analysis and applications

The VLDB Journal — The International Journal on Very Large Data Bases

Maximizing classifier utility when there are data acquisition and modeling costs

Data Mining and Knowledge Discovery

Assessment of Classification Models with Small Amounts of Data

Informatica

A Dynamic Committee Scheme on Multiple-Criteria Linear Programming Classification Method

ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II

Feature-preserved sampling over streaming data

ACM Transactions on Knowledge Discovery from Data (TKDD)

HTILDE: scaling up relational decision trees for very large databases

Proceedings of the 2009 ACM symposium on Applied Computing

Adaptive Bayesian network classifiers

Intelligent Data Analysis

Improving data mining utility with projective sampling

Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining

An effective sampling method for decision trees considering comprehensibility and accuracy

WSEAS Transactions on Computers

An experimental decision of samples for RBF neural networks

MUSP'09 Proceedings of the 9th WSEAS international conference on Multimedia systems & signal processing

PMCRI: A Parallel Modular Classification Rule Induction Framework

MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition

Instance Selection by Border Sampling in Multi-class Domains

ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications

Learning when training data are costly: the effect of class distribution on tree induction

Journal of Artificial Intelligence Research

A pilot sampling method for multi-layer perceptrons

ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers

Performance comparison of RBF networks and MLPs for classification

AIC'09 Proceedings of the 9th WSEAS international conference on Applied informatics and communications

The relationship of sample size and accuracy in radial basis function networks

WSEAS Transactions on Computers

Sampling scheme for better RBF network

Proceedings of the 2009 International Conference on Hybrid Information Technology

Extending fuzzy and probabilistic clustering to very large data sets

Computational Statistics & Data Analysis

An empirical improvement of the accuracy of RBF networks

Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human

Empirical determination of sample sizes for multi-layer perceptrons by simple RBF networks

WSEAS Transactions on Computers

Evaluating hybrid versus data-driven coreference resolution

DAARC'07 Proceedings of the 6th discourse anaphora and anaphor resolution conference on Anaphora: analysis, algorithms and applications

Full border identification for reduction of training sets

Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence

An effective sampling scheme for better multi-layer perceptrons

AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases

Why label when you can search?: alternatives to active learning for applying human resources to build classification models under extreme class imbalance

Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining

Investigating better multi-layer perceptrons for the task of classification

WSEAS Transactions on Computers

Approximate pairwise clustering for large data sets via sampling plus extension

Pattern Recognition

An efficient preprocessing stage for the relationship-based clustering framework

Intelligent Data Analysis

Design and analysis of a multi-dimensional data sampling service for large scale data analysis applications

IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing

The effect of training set size for the performance of neural networks of classification

WSEAS Transactions on Computers

Discovery of frequent patterns in transactional data streams

Transactions on large-scale data- and knowledge-centered systems II

Property of artificial neural networks of classification with respect to training set size

ICS'10 Proceedings of the 14th WSEAS international conference on Systems: part of the 14th WSEAS CSCC multiconference - Volume II

Discovery of frequent patterns in transactional data streams

Transactions on large-scale data- and knowledge-centered systems II

Indexing Network Structure with Shortest-Path Trees

ACM Transactions on Knowledge Discovery from Data (TKDD)

A novel sequential design strategy for global surrogate modeling

Winter Simulation Conference

An experimental comparison of classification algorithms for imbalanced credit scoring data sets

Expert Systems with Applications: An International Journal

A Novel Hybrid Sequential Design Strategy for Global Surrogate Modeling of Computer Experiments

SIAM Journal on Scientific Computing

Learning and classifying under hard budgets

ECML'05 Proceedings of the 16th European conference on Machine Learning

Designing multiple classifier systems for face recognition

MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems

On autonomous k-means clustering

ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems

A dynamic adaptive sampling algorithm (DASA) for real world applications: finger print recognition and face recognition

ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems

Progressive sampling for association rules based on sampling error estimation

PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining

An approach for solving very large scale instances of the design distribution problem for distributed database systems

ISSADS'05 Proceedings of the 5th international conference on Advanced Distributed Systems

A Sequential Sampling Framework for Spectral k-Means Based on Efficient Bootstrap Accuracy Estimations: Application to Distributed Clustering

ACM Transactions on Knowledge Discovery from Data (TKDD)

ML-DS: a novel deterministic sampling algorithm for association rules mining

ICDM'12 Proceedings of the 12th Industrial conference on Advances in Data Mining: applications and theoretical aspects

On the Computational Complexity of Optimal Multisplitting

Fundamenta Informaticae - Intelligent Systems

Towards realistic sampling: generating dependencies in a relational database

Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication

Towards minimizing the annotation cost of certified text classification

Proceedings of the 22nd ACM international conference on Conference on information & knowledge management