RainForest - A Framework for Fast Decision Tree Construction of Large Datasets

A framework for measuring changes in data characteristics

PODS '99 Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems

BOAT—optimistic decision tree construction

SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data

Classification and regression: money *can* grow on trees

KDD '99 Tutorial notes of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining

Scalable algorithms for mining large databases

KDD '99 Tutorial notes of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining

Data mining and the Web: past, present and future

Proceedings of the 2nd international workshop on Web information and data management

Clustering through decision tree construction

Proceedings of the ninth international conference on Information and knowledge management

SPARTAN: a model-based semantic compression system for massive data tables

SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data

SQL database primitives for decision tree classifiers

Proceedings of the tenth international conference on Information and knowledge management

Efficient Construction of Regression Trees with Range and Region Splitting

Machine Learning

An integrated approach for scaling up classification and prediction algorithms for data mining

SAICSIT '02 Proceedings of the 2002 annual research conference of the South African institute of computer scientists and information technologists on Enablement through technology

A Survey of Methods for Scaling Up Inductive Algorithms

Data Mining and Knowledge Discovery

PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning

Data Mining and Knowledge Discovery

Mining Very Large Databases

Computer

Algorithms for Finding Attribute Value Group for Binary Segmentation of Categorical Databases

IEEE Transactions on Knowledge and Data Engineering

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

PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning

VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases

Decision Tree Modeling with Relational Views

ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems

On Efficient Construction of Decision Trees from Large Databases

RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing

Hierarchical Classification of Documents with Error Control

PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining

Shared Memory Parallelization of Decision Tree Construction Using a General Data Mining Middleware

Euro-Par '02 Proceedings of the 8th International Euro-Par Conference on Parallel Processing

Efficient Parallel Classification Using Dimensional Aggregates

Revised Papers from Large-Scale Parallel Data Mining, Workshop on Large-Scale Parallel KDD Systems, SIGKDD

On effective classification of strings with wavelets

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

SECRET: a scalable linear regression tree algorithm

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

Data mining tasks and methods: scalability

Handbook of data mining and knowledge discovery

Efficient decision tree construction on streaming data

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

Discovering decision rules from numerical data streams

Proceedings of the 2004 ACM symposium on Applied computing

CrossMine: Efficient Classification Across Multiple Database Relations

ICDE '04 Proceedings of the 20th International Conference on Data Engineering

FARMER: finding interesting rule groups in microarray datasets

SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data

Shared Memory Parallelization of Data Mining Algorithms: Techniques, Programming Interface, and Performance

IEEE Transactions on Knowledge and Data Engineering

On the Use of Wavelet Decomposition for String Classification

Data Mining and Knowledge Discovery

Incremental rule learning based on example nearness from numerical data streams

Proceedings of the 2005 ACM symposium on Applied computing

On Reducing Classifier Granularity in Mining Concept-Drifting Data Streams

ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining

XRules: An effective algorithm for structural classification of XML data

Machine Learning

A scalable decision tree system and its application in pattern recognition and intrusion detection

Decision Support Systems

Efficient Classification across Multiple Database Relations: A CrossMine Approach

IEEE Transactions on Knowledge and Data Engineering

Data streams classification by incremental rule learning with parameterized generalization

Proceedings of the 2006 ACM symposium on Applied computing

Workload-aware anonymization

Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining

Incorporating large unlabeled data to enhance EM classification

Journal of Intelligent Information Systems

Bellwether analysis: predicting global aggregates from local regions

VLDB '06 Proceedings of the 32nd international conference on Very large data bases

Classification spanning correlated data streams

CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management

Relaxing instance boundaries for the search of splitting points of numerical attributes in classification trees

Information Sciences: an International Journal

A review of associative classification mining

The Knowledge Engineering Review

COMBI-operator - database support for data mining applications

VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29

Adaptive fastest path computation on a road network: a traffic mining approach

VLDB '07 Proceedings of the 33rd international conference on Very large data bases

Workload-aware anonymization techniques for large-scale datasets

ACM Transactions on Database Systems (TODS)

Entropy-based associative classification algorithm for mining manufacturing data

International Journal of Computer Integrated Manufacturing

A New Incremental Algorithm for Induction of Multivariate Decision Trees for Large Datasets

IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning

Huge Data Mining Based on Rough Set Theory and Granular Computing

WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03

Bellwether analysis: Searching for cost-effective query-defined predictors in large databases

ACM Transactions on Knowledge Discovery from Data (TKDD)

Adversarial-knowledge dimensions in data privacy

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

An empirical determination of samples for decision trees

AIKED'09 Proceedings of the 8th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases

New ensemble methods for evolving data streams

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

Classification spanning private databases

AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1

Inductive learning in less than one sequential data scan

IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence

Stochastic gradient boosted distributed decision trees

Proceedings of the 18th ACM conference on Information and knowledge management

PLANET: massively parallel learning of tree ensembles with MapReduce

Proceedings of the VLDB Endowment

MMDT: a multi-valued and multi-labeled decision tree classifier for data mining

Expert Systems with Applications: An International Journal

A case-based reasoning system for PCB defect prediction

Expert Systems with Applications: An International Journal

Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams

Proceedings of the 2010 conference on Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams

Splash: ad-hoc querying of data and statistical models

Proceedings of the 13th International Conference on Extending Database Technology

Database implementation of a model-free classifier

ADBIS'07 Proceedings of the 11th East European conference on Advances in databases and information systems

Quick knowledge reduction based on divide and conquer method in huge data sets

PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence

BOAI: fast alternating decision tree induction based on bottom-up evaluation

PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining

Chronic hepatitis and cirrhosis classification using SNP data, decision tree and decision rule

ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part III

A granular agent evolutionary algorithm for classification

Applied Soft Computing

An efficient clustering algorithm for k-anonymisation

Journal of Computer Science and Technology

Using reliable short rules to avoid unnecessary tests in decision trees

MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence

Mining Recurring Concept Drifts with Limited Labeled Streaming Data

ACM Transactions on Intelligent Systems and Technology (TIST)

Data mining using relational database management systems

PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining

A comprehensively sized decision tree generation method for interactive data mining of very large databases

ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications

Bitmap index-based decision trees

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

CrossMine: efficient classification across multiple database relations

Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases