The effectiveness of machine learning techniques for predicting time to case disposition
Proceedings of the 6th international conference on Artificial intelligence and law
Machine Learning - Special issue on applications of machine learning and the knowledge discovery process
Boosting in the limit: maximizing the margin of learned ensembles
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Mining interesting knowledge using DM-II
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
A Multistrategy Approach to Classifier Learning from Time Series
Machine Learning - Special issue on multistrategy learning
The Effect of Instance-Space Partition on Significance
Machine Learning
VideoGraph: a new tool for video mining and classification
Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries
An extended transformation approach to inductive logic programming
ACM Transactions on Computational Logic (TOCL) - Special issue devoted to Robert A. Kowalski
An evaluation of sampling methods for data mining with fuzzy C-means
Data mining for design and manufacturing
Propositionalization approaches to relational data mining
Relational Data Mining
Genetic Programming and Evolvable Machines
Using MineSet for Knowledge Discovery
IEEE Computer Graphics and Applications
Data Mining to Predict Aircraft Component Replacement
IEEE Intelligent Systems
Dynamic Integration of Decision Committees
HiPC '00 Proceedings of the 7th International Conference on High Performance Computing
Bagging and Boosting with Dynamic Integration of Classifiers
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
GD: A Measure Based on Information Theory for Attribute Selection
IBERAMIA '98 Proceedings of the 6th Ibero-American Conference on AI: Progress in Artificial Intelligence
Filtering Noisy Continuous Labeled Examples
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Ensemble Feature Selection Based on Contextual Merit and Correlation Heuristics
ADBIS '01 Proceedings of the 5th East European Conference on Advances in Databases and Information Systems
Arbiter Meta-Learning with Dynamic Selection of Classifiers and Its Experimental Investigation
ADBIS '99 Proceedings of the Third East European Conference on Advances in Databases and Information Systems
Ensemble Feature Selection Based on the Contextual Merit
DaWaK '01 Proceedings of the Third International Conference on Data Warehousing and Knowledge Discovery
T3: A Classification Algorithm for Data Mining
IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
Local Feature Selection with Dynamic Integration of Classifiers
ISMIS '00 Proceedings of the 12th International Symposium on Foundations of Intelligent Systems
Feature Selection for Ensembles of Simple Bayesian Classifiers
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
Probing Knowledge in Distributed Data Mining
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Mining Optimal Class Association Rule Set
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Feature Selection for Meta-learning
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
A Geometric Approach to Leveraging Weak Learners
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
Constructing Inductive Applications by Meta-Learning with Method Repositories
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Design and Evaluation of an Environment to Automate the Construction of Inductive Applications
DS '99 Proceedings of the Second International Conference on Discovery Science
Application of Rough Sets Algorithms to Prediction of Aircraft Component Failure
IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis
Correlation-Based and Contextual Merit-Based Ensemble Feature Selection
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
Quantifying the Resilience of Inductive Classification Algorithms
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Decision Committee Learning with Dynamic Integration of Classifiers
ADBIS-DASFAA '00 Proceedings of the East-European Conference on Advances in Databases and Information Systems Held Jointly with International Conference on Database Systems for Advanced Applications: Current Issues in Databases and Information Systems
Interactive deduplication using active learning
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Advanced Local Feature Selection in Medical Diagnostics
CBMS '00 Proceedings of the 13th IEEE Symposium on Computer-Based Medical Systems (CBMS'00)
A survey of data mining and knowledge discovery software tools
ACM SIGKDD Explorations Newsletter
Extracting predicates from mining models for efficient query evaluation
ACM Transactions on Database Systems (TODS)
Shape-Based Recognition of Wiry Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Learning
Fine grained classification of named entities
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Finding the Right Data for Software Cost Modeling
IEEE Software
Boosting an Associative Classifier
IEEE Transactions on Knowledge and Data Engineering
Towards scalable and data efficient learning of Markov boundaries
International Journal of Approximate Reasoning
Building CBR systems with jcolibri
Science of Computer Programming
Feature Extraction for Dynamic Integration of Classifiers
Fundamenta Informaticae
Bayesian feature evaluation for visual saliency estimation
Pattern Recognition
A SVM-based discretization method with application to associative classification
Expert Systems with Applications: An International Journal
Data mining for simulation algorithm selection
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
Journal of Artificial Intelligence Research
Sequential genetic search for ensemble feature selection
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Data mining applications for diverse industrial application domains with smart archive
SE '08 Proceedings of the IASTED International Conference on Software Engineering
Bayesian Network Structure Learning by Recursive Autonomy Identification
The Journal of Machine Learning Research
NOLISP'07 Proceedings of the 2007 international conference on Advances in nonlinear speech processing
Search strategies for ensemble feature selection in medical diagnostics
CBMS'03 Proceedings of the 16th IEEE conference on Computer-based medical systems
The inductive software engineering manifesto: principles for industrial data mining
Proceedings of the International Workshop on Machine Learning Technologies in Software Engineering
Empirical study on weighted voting multiple classifiers
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
Biometric recognition using feature selection and combination
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Parameter inference of cost-sensitive boosting algorithms
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
The impact of feature extraction on the performance of a classifier: kNN, Naïve Bayes and C4.5
AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
Feature Extraction for Dynamic Integration of Classifiers
Fundamenta Informaticae
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Data mining algorithms including machine learning, statistical analysis, and pattern recognition techniques can greatly improve our understanding of data warehouses that are now becoming more widespread. In this paper, we focus on classification algorithms and review the need for multiple classification algorithms. We describe a system called MLC++, which was designed to help choose the appropriate classification algorithm for a given dataset by making it easy to compare the utility of different algorithms on a specific dataset of interest. MLC++ not only provides a workbench for such comparisons, but also provides a library of C++ classes to aid in the development of new algorithms, especially hybrid algorithms and multi-strategy algorithms. Such algorithms are generally hard to code from scratch. We discuss design issues, interfaces to other programs, and visualization of the resulting classifiers.