General
        P. Domingos.  " Linear-Time Rule Induction "
        G. Webb.  " Efficient Search for Association Rules "

Discretization
        A. Donaldson, "Clustering Training Examples by Intervals, Hierarchies and Inherited Attributes" Tech Report ISL-95-16
        J. Quinlan.  " Improved Use of Continuous Attributes in C4.5 "
        M. Ankerst, M. Breunig, H. Kriegel, and J. Sander.  "OPTICS: Ordering Points To Identify the Clustering Structure"
        X. Wu.  " A Bayesian Discretizer for Real-Valued Attributes "
        J. Dougherty, R. Kohavi, and M. Sahami.  "Supervised and Unsupervised Discretization of Continuous Features "
        R. Kohavi and M. Sahami.  " Error-Based and Entropy-Based Discretization of Continuous Features "
        M. Postema, X. Wu, and T. Menzies.  "A Tuning Aid for Discretization in Rule Induction "
        M. Postema, X. Wu, and T. Menzies.  "A Tuning Aid to Improve Deduction of Induction Results "
        M. Postema, X. Wu, and T. Menzies.  "A Decision Support Tool for Tuning Parameters in a Machine Learning Algorithm "

RL
        S. Clearwater and J. Provost.  " RL4:  A Tool for Knowledge-Based Induction "
        F. Provost, J. Aronis, and B. Buchanan.  "Rule-space Search for Knowledge-based Discovery "

SAL
        J. Aronis and F. Provost.  " Increasing the Efficiency of Data Mining Algorithms with Breadth-First Marker Propagation "

Evidence gathering

Misclassification costs
        F. Provost and T. Fawcett.  " Analysis and Visualization of Classifier Performance: Comparison Under Imprecise Class and Cost Distributions "
        F. Provost and T. Fawcett.  " Robust Classification for Imprecise Environments "

Scaling
        F. Provost.  "Scaling Up Inductive Learning with Massive Parallelism"
        F. Provost and V. Kolluri.  " A Survery of Methods for Scaling Up Inductive Algorithms "

Evaluation
        T. Fawcett.  " Using Rule Sets to Maximize ROC Performance "

Autonomous Discovery
        G. Livingston and B. Buchanan.  " Autonomous Discovery in Empirical Domains "
        G. Livingston.  " Extensible, General, and Robust Autonomous Discovery of Interesting Concepts "
        G. Livingston, J. Rosenberg, and B. Buchanan.  "A Framework for Autonomously Performing Knowledge Discovery in Databases "
        G. Livingston, J. Rosenberg, and B. Buchanan.  "Closing the Loop:  Heuristics for Autonomous Discovery "
        G. Livingston, J. Rosenberg, and B. Buchanan.  "Closing the Loop:  An Agena- and Justification-Based Framework for Selecting the Next Discovery Task to be Performed"
        J. Aronis.  " Exploiting Background Knowledge in Automated Discovery "

Applications
        D. Hennessey, V. Gopalakrishnan, and B. Buchanan.  " Induction of Rules for Biological Macromolecule Crystallization "