Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and
methods for mining patterns, knowledge, and models from various kinds of data for diverse …

Storing and using specific instances improves the performance of several supervised
learning algorithms. These include algorithms that learn decision trees, classification rules …

Ideally, definitions induced from examples should consist of all, and only, disjuncts that are
meaningful (eg, as measured by a statistical significance test) and have a low error rate …

This paper reviews Machine Learning (ML), and extends and complements previous work
(Kocabas, 1991; Kalkanis and Conroy, 1991). Although this paper focuses on inductive …

This paper contains a brief overview of Case‐Based Reasoning (CBR) with an emphasis on
European activities in the field. The main objective was to have a balance between brevity …

Incremental variants of the nearest neighbor algorithm are a potentially suitable choice for
incremental learning tasks. They have fast learning rates, low updating costs, and have …

Personal software assistants that help users with tasks like finding information, scheduling
calendars, or managing work-flow will require significant customization to each individual …

Expertise comprises experience. In solving a new problem, we rely on past episodes. We
need to remember what plans succeed and what plans fail. We need to know how to modify …

We discuss Bayesian methods for model averaging and model selection among Bayesian-
network models with hidden variables. In particular, we examine large-sample …

Specifically, my theories of health and disease in Section 7.3, of etiology in Section 7.5, and
of diagnosis in Section 9.2 are based on my “Fundamentals of clinical methodology”, 1-4, in …