Classification algorithms
Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems
C4.5: programs for machine learning
C4.5: programs for machine learning
Experiments on multistrategy learning by meta-learning
CIKM '93 Proceedings of the second international conference on Information and knowledge management
Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
Parallel sorting on a shared-nothing architecture using probabilistic splitting
PDIS '91 Proceedings of the first international conference on Parallel and distributed information systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Stochastic Complexity in Statistical Inquiry Theory
Stochastic Complexity in Statistical Inquiry Theory
The Gamma Database Machine Project
IEEE Transactions on Knowledge and Data Engineering
Machine Learning
Database Mining: A Performance Perspective
IEEE Transactions on Knowledge and Data Engineering
SLIQ: A Fast Scalable Classifier for Data Mining
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
An Interval Classifier for Database Mining Applications
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
SPRINT: A Scalable Parallel Classifier for Data Mining
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Induction over large data bases
Induction over large data bases
Range queries in OLAP data cubes
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Automatic subspace clustering of high dimensional data for data mining applications
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Enhanced hypertext categorization using hyperlinks
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Efficient algorithms for geometric optimization
ACM Computing Surveys (CSUR)
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
Visual classification: an interactive approach to decision tree construction
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Exact and approximation algorithms for clustering
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Data mining and the Web: past, present and future
Proceedings of the 2nd international workshop on Web information and data management
Privacy-preserving data mining
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Approximation algorithms for projective clustering
SODA '00 Proceedings of the eleventh annual ACM-SIAM symposium on Discrete algorithms
Mining high-speed data streams
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient algorithms for constructing decision trees with constraints
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Identifying prospective customers
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Targeting the right students using data mining
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
High performance data mining (tutorial PM-3)
Tutorial notes of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Clustering through decision tree construction
Proceedings of the ninth international conference on Information and knowledge management
Communication-efficient distributed mining of association rules
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Scalable data mining with model constraints
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Systems support for scalable data mining
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Mining time-changing data streams
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
SQL database primitives for decision tree classifiers
Proceedings of the tenth international conference on Information and knowledge management
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
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
Efficient execution of multiple query workloads in data analysis applications
Proceedings of the 2001 ACM/IEEE conference on Supercomputing
Automatically classifying database workloads
Proceedings of the eleventh international conference on Information and knowledge management
Boosting Algorithms for Parallel and Distributed Learning
Distributed and Parallel Databases - Special issue: Parallel and distributed data mining
A Distributed Framework for Parallel Data Mining Using HPJava
BT Technology Journal
Scaling Up Inductive Logic Programming by Learning from Interpretations
Data Mining and Knowledge Discovery
A Survey of Methods for Scaling Up Inductive Algorithms
Data Mining and Knowledge Discovery
Parallel Formulations of Decision-Tree Classification Algorithms
Data Mining and Knowledge Discovery
RainForest—A Framework for Fast Decision Tree Construction of Large Datasets
Data Mining and Knowledge Discovery
Constraint-Based Rule Mining in Large, Dense Databases
Data Mining and Knowledge Discovery
PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning
Data Mining and Knowledge Discovery
Visualization and Analysis of Clickstream Data of Online Stores for Understanding Web Merchandising
Data Mining and Knowledge Discovery
High-performance data mining with skeleton-based structured parallel programming
Parallel Computing - Parallel data-intensive algorithms and applications
Processing large-scale multi-dimensional data in parallel and distributed environments
Parallel Computing - Parallel data-intensive algorithms and applications
A reduction algorithm meeting users' requirements
Journal of Computer Science and Technology
A new classification method to overcome over-branching
Journal of Computer Science and Technology
Computer
IEEE Transactions on Knowledge and Data Engineering
Algorithms for Finding Attribute Value Group for Binary Segmentation of Categorical Databases
IEEE Transactions on Knowledge and Data Engineering
Probabilistic Estimation-Based Data Mining for Discovering Insurance Risks
IEEE Intelligent Systems
IEEE Intelligent Systems
On the quest for easy-to-understand splitting rules
Data & Knowledge Engineering
Distributed learning with bagging-like performance
Pattern Recognition Letters
IEEE Transactions on Knowledge and Data Engineering
Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes
EDBT '00 Proceedings of the 7th International Conference on Extending Database Technology: Advances in Database Technology
Athena: Mining-Based Interactive Management of Text Database
EDBT '00 Proceedings of the 7th International Conference on Extending Database Technology: Advances in Database Technology
Parallel Implementation of Decision Tree Learning Algorithms
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
Parallelisation of C4.5 as a Particular Divide and Conquer Computation
IPDPS '00 Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing
Towards Network-Aware Data Mining
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
A Requirements Analysis for Parallel KDD Systems
IPDPS '00 Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing
Advanced in Predictive Data Mining Methods
MLDM '99 Proceedings of the First International Workshop on Machine Learning and Data Mining in Pattern Recognition
Parallelism in Knowledge Discovery Techniques
PARA '02 Proceedings of the 6th International Conference on Applied Parallel Computing Advanced Scientific Computing
Managing Uncertainty and Quality in the Classification Process
SETN '02 Proceedings of the Second Hellenic Conference on AI: Methods and Applications of Artificial Intelligence
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
RainForest - A Framework for Fast Decision Tree Construction of Large Datasets
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Decision Tables: Scalable Classification Exploring RDBMS Capabilities
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Using SQL to Build New Aggregates and Extenders for Object- Relational Systems
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Design and Implementation of a Genetic-Based Algorithm for Data Mining
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
SPRINT: A Scalable Parallel Classifier for Data Mining
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Scalable Classification Method Based on Rough Sets
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Data Mining Techniques for Associations, Clustering and Classification
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
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
Parallel Data Mining in the HYPERBANK Project
Euro-Par '99 Proceedings of the 5th International Euro-Par Conference on Parallel Processing
Data Mining and Personalization Technologies
DASFAA '99 Proceedings of the Sixth International Conference on Database Systems for Advanced Applications
Building an Information and Knowledge Fusion System
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Supporting the User: Conceptual Modeling & Knowledge Discovery
Selected Papers from the Symposium on Conceptual Modeling, Current Issues and Future Directions
Parallel and Distributed Data Mining: An Introduction
Revised Papers from Large-Scale Parallel Data Mining, Workshop on Large-Scale Parallel KDD Systems, SIGKDD
A Data-Clustering Algorithm on Distributed Memory Multiprocessors
Revised Papers from Large-Scale Parallel Data Mining, Workshop on Large-Scale Parallel KDD Systems, SIGKDD
Active Mining in a Distributed Setting
Revised Papers from Large-Scale Parallel Data Mining, Workshop on Large-Scale Parallel KDD Systems, SIGKDD
Efficient Parallel Classification Using Dimensional Aggregates
Revised Papers from Large-Scale Parallel Data Mining, Workshop on Large-Scale Parallel KDD Systems, SIGKDD
User-Defined Aggregates in Database Languages
DBPL '99 Revised Papers from the 7th International Workshop on Database Programming Languages: Research Issues in Structured and Semistructured Database Programming
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
B-EM: a classifier incorporating bootstrap with EM approach for data mining
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Pruning and dynamic scheduling of cost-sensitive ensembles
Eighteenth national conference on Artificial intelligence
Data mining tasks and methods: Classification: decision-tree discovery
Handbook of data mining and knowledge discovery
Data mining tasks and methods: scalability
Handbook of data mining and knowledge discovery
Handbook of data mining and knowledge discovery
Knowledge evaluation: Other evaluations: minimum description length
Handbook of data mining and knowledge discovery
Handbook of data mining and knowledge discovery
A methodology for auto-recognizing DBMS workloads
CASCON '02 Proceedings of the 2002 conference of the Centre for Advanced Studies on Collaborative research
Cancer classification using gene expression data
Information Systems - Special issue: Data management in bioinformatics
Approximation algorithms for projective clustering
Journal of Algorithms
Efficient Mining for Association Rules with Relational Database Systems
IDEAS '99 Proceedings of the 1999 International Symposium on Database Engineering & Applications
A Parallel Scalable Infrastructure for OLAP and Data Mining
IDEAS '99 Proceedings of the 1999 International Symposium on Database Engineering & Applications
ScalParC: A New Scalable and Efficient Parallel Classification Algorithm for Mining Large Datasets
IPPS '98 Proceedings of the 12th. International Parallel Processing Symposium on International Parallel Processing Symposium
Intelligent data analysis
Sourcebook of parallel computing
A neural net approach to data mining: classification of users to aid information management
Intelligent exploration of the web
Efficient algorithms for decision tree cross-validation
The Journal of Machine Learning Research
Fast and accurate text classification via multiple linear discriminant projections
The VLDB Journal — The International Journal on Very Large Data Bases
Is random model better? On its accuracy and efficiency
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Prototype-based mining of numeric data streams
Proceedings of the 2003 ACM symposium on Applied computing
Mining concept-drifting data streams using ensemble classifiers
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Fast vertical mining using diffsets
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient decision tree construction on streaming data
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
ART: A Hybrid Classification Model
Machine Learning
Discovering decision rules from numerical data streams
Proceedings of the 2004 ACM symposium on Applied computing
Approximated measures in construction of decision trees from large databases
Design and application of hybrid intelligent systems
Theory and application of cellular automata for pattern classification
Fundamenta Informaticae - Special issue on cellular automata
BioSPRINT: Classification of Intron and Exon Sequences Using the SPRINT Algorithm
CSB '04 Proceedings of the 2004 IEEE Computational Systems Bioinformatics Conference
Building multi-way decision trees with numerical attributes
Information Sciences: an International Journal
IEEE Transactions on Knowledge and Data Engineering
Incremental personalized web page mining utilizing self-organizing HCMAC neural network
Web Intelligence and Agent Systems
Parallelizing a Defect Detection and Categorization Application
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
Efficient Data Access for Parallel BLAST
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
Incremental rule learning based on example nearness from numerical data streams
Proceedings of the 2005 ACM symposium on Applied computing
Hierarchical Decision Tree Induction in Distributed Genomic Databases
IEEE Transactions on Knowledge and Data Engineering
Automatic Subspace Clustering of High Dimensional Data
Data Mining and Knowledge Discovery
On Reducing Classifier Granularity in Mining Concept-Drifting Data Streams
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
A scalable decision tree system and its application in pattern recognition and intrusion detection
Decision Support Systems
Embedded predictive modeling in a parallel relational database
Proceedings of the 2006 ACM symposium on Applied computing
Data streams classification by incremental rule learning with parameterized generalization
Proceedings of the 2006 ACM symposium on Applied computing
Incorporating large unlabeled data to enhance EM classification
Journal of Intelligent Information Systems
Information Sciences: an International Journal
A new approach to classification based on association rule mining
Decision Support Systems
Parallel univariate decision trees
Pattern Recognition Letters
Fast split selection method and its application in decision tree construction from large databases
International Journal of Hybrid Intelligent Systems - Hybrid Intelligence using rough sets
Post-pruning in decision tree induction using multiple performance measures
Computers and Operations Research
Interactive presentation: An FPGA implementation of decision tree classification
Proceedings of the conference on Design, automation and test in Europe
Toward Exploratory Test-Instance-Centered Diagnosis in High-Dimensional Classification
IEEE Transactions on Knowledge and Data Engineering
Fast and accurate text classification via multiple linear discriminant projections
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Rough set based approach for inducing decision trees
Knowledge-Based Systems
Middleware for data mining applications on clusters and grids
Journal of Parallel and Distributed Computing
Web usage mining with intentional browsing data
Expert Systems with Applications: An International Journal
RBFFCA: A Hybrid Pattern Classifier Using Radial Basis Function and Fuzzy Cellular Automata
Fundamenta Informaticae - Special issue on DLT'04
Is it DSS or OLTP: automatically identifying DBMS workloads
Journal of Intelligent Information Systems
Mining typical patterns from databases
Information Sciences: an International Journal
Improving the performance of an incremental algorithm driven by error margins
Intelligent Data Analysis - Knowledge Discovery from Data Streams
An Algorithm for Generating Classification Rules Based on Extended Function Dependency
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Entropy-based associative classification algorithm for mining manufacturing data
International Journal of Computer Integrated Manufacturing
Blind paraunitary equalization
Signal Processing
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
Constructing a decision tree from data with hierarchical class labels
Expert Systems with Applications: An International Journal
Moving towards efficient decision tree construction
Information Sciences: an International Journal
Simplify Multi-valued Decision Trees
ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
Fuzzifying Gini Index based decision trees
Expert Systems with Applications: An International Journal
Detecting outlying properties of exceptional objects
ACM Transactions on Database Systems (TODS)
Parameter Estimation in Semi-Random Decision Tree Ensembling on Streaming Data
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
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
A fast decision tree learning algorithm
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
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
Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Inductive learning in less than one sequential data scan
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Sampling scheme for better RBF network
Proceedings of the 2009 International Conference on Hybrid Information Technology
Stochastic gradient boosted distributed decision trees
Proceedings of the 18th ACM conference on Information and knowledge management
An efficient algorithm for finding dense regions for mining quantitative association rules
Computers & Mathematics with Applications
PLANET: massively parallel learning of tree ensembles with MapReduce
Proceedings of the VLDB Endowment
Discovering conjecturable rules through tree-based clustering analysis
Expert Systems with Applications: An International Journal
MMDT: a multi-valued and multi-labeled decision tree classifier for data mining
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
A Streaming Parallel Decision Tree Algorithm
The Journal of Machine Learning Research
Statistics based predictive geo-spatial data mining: forest fire hazardous area mapping application
APWeb'03 Proceedings of the 5th Asia-Pacific web conference on Web technologies and applications
VECPAR'02 Proceedings of the 5th international conference on High performance computing for computational science
Performance-based data distribution for data mining applications on grid computing environments
The Journal of Supercomputing
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
Modeling of network computing systems for decision tree induction tasks
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
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
Porting decision tree algorithms to multicore using fastflow
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Attribute reduction for massive data based on rough set theory and MapReduce
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Building a highly-compact and accurate associative classifier
Applied Intelligence
MACs: Mining API code snippets for code reuse
Expert Systems with Applications: An International Journal
A granular agent evolutionary algorithm for classification
Applied Soft Computing
Incrementally maintaining classification using an RDBMS
Proceedings of the VLDB Endowment
Improving the performance of minor class in decision tree using duplicating instances
AIKED'11 Proceedings of the 10th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Parallel boosted regression trees for web search ranking
Proceedings of the 20th international conference on World wide web
Ozone day prediction with radial basis function networks
ICS'10 Proceedings of the 14th WSEAS international conference on Systems: part of the 14th WSEAS CSCC multiconference - Volume II
A parallel random forest classifier for R
Proceedings of the second international workshop on Emerging computational methods for the life sciences
Random ensemble decision trees for learning concept-drifting data streams
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I
Fuzzy ID3 algorithm based on generating Hartley measure
WISM'11 Proceedings of the 2011 international conference on Web information systems and mining - Volume Part II
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)
A decision tree using CUDA GPUs
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
Development of a grid service for scalable decision tree construction from grid databases
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
Data mining using relational database management systems
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Hifocon: object and dimensional coherence and correlation in multidimensional visualization
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Research on multi-valued and multi-labeled decision trees
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Integrated mining for cancer incidence factors from healthcare data
AM'03 Proceedings of the Second international conference on Active Mining
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
Multivariate decision trees using different splitting attribute subsets for large datasets
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Approximate boolean reasoning: foundations and applications in data mining
Transactions on Rough Sets V
An overview of the use of neural networks for data mining tasks
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Scalable random forests for massive data
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Parallel decision tree with application to water quality data analysis
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
RBFFCA: A Hybrid Pattern Classifier Using Radial Basis Function and Fuzzy Cellular Automata
Fundamenta Informaticae - Special issue on DLT'04
Theory and Application of Cellular Automata For Pattern Classification
Fundamenta Informaticae - Cellular Automata
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
ACM Transactions on Architecture and Code Optimization (TACO) - Special Issue on High-Performance Embedded Architectures and Compilers
Retention replacement in privacy preserving classification
ADBIS'12 Proceedings of the 16th East European conference on Advances in Databases and Information Systems
An Efficient Method for Discretizing Continuous Attributes
International Journal of Data Warehousing and Mining
Decision trees: a recent overview
Artificial Intelligence Review
An adaptive ensemble classifier for mining concept drifting data streams
Expert Systems with Applications: An International Journal
The Journal of Supercomputing
A survey on concept drift adaptation
ACM Computing Surveys (CSUR)
Using Bayesian networks for selecting classifiers in GP ensembles
Information Sciences: an International Journal
Software quality assessment using a multi-strategy classifier
Information Sciences: an International Journal
Building fast decision trees from large training sets
Intelligent Data Analysis
Comparison and evaluation of source code mining tools and techniques: A qualitative approach
Intelligent Data Analysis
A hybrid decision tree classifier
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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