New Generation Computing - Selected papers from the international workshop on algorithmic learning theory,1990
C4.5: programs for machine learning
C4.5: programs for machine learning
Applications of machine learning: towards knowledge synthesis
Selected papers of international conference on Fifth generation computer systems 92
Applications of machine learning and rule induction
Communications of the ACM
Algorithmic Program DeBugging
Learning Logical Definitions from Relations
Machine Learning
Inductive Learning Applied to Program Construction and Verification
AIFIPP '92 Extended Papers from the IFIP TC12 Workshop on Artificial Intelligence from the Information Processing Perspective: Knowledge Oriented Software Design
Machine Learning - special issue on inductive logic programming
Machine Learning - Special issue on applications of machine learning and the knowledge discovery process
Scientific knowledge discovery using inductive logic programming
Communications of the ACM
ACM Transactions on Mathematical Software (TOMS) - Special issue in honor of John Rice's 65th birthday
Logic-based artificial intelligence
Logic-based artificial intelligence
Three companions for data mining in first order logic
Relational Data Mining
How to upgrade propositional learners to first order logic: case study
Relational Data Mining
Scaling Up Inductive Logic Programming by Learning from Interpretations
Data Mining and Knowledge Discovery
Explanatory Analysis of the Metabolome Using Genetic Programming of Simple, Interpretable Rules
Genetic Programming and Evolvable Machines
Machines that learn to play games
Challenges for Inductive Logic Programming
EPIA '99 Proceedings of the 9th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Handling Uncertainty in a Medical Study of Dietary Intake During Pregnancy
Soft-Ware 2002 Proceedings of the First International Conference on Computing in an Imperfect World
Facing Fault Management as It Is, Aiming for What You Would Like It to Be
Soft-Ware 2002 Proceedings of the First International Conference on Computing in an Imperfect World
Learning in Clausal Logic: A Perspective on Inductive Logic Programming
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part I
A Survey of Data Mining Techniques
ISMDA '00 Proceedings of the First International Symposium on Medical Data Analysis
How to Upgrade Propositional Learners to First Order Logic: A Case Study
Machine Learning and Its Applications, Advanced Lectures
Knowledge Discovery in Biological and Chemical Domains
DS '98 Proceedings of the First International Conference on Discovery Science
Predicate Synthesis for Correcting Faulty Conjectures: The Proof Planning Paradigm
Automated Software Engineering
Computational science, mathematics and software
Shape Understanding: Knowledge Generation and Learning
IEEE Transactions on Knowledge and Data Engineering
Queue - Databases
Discovery of empirical theories based on the measurement theory
Minds and Machines - Machine learning as experimental philosophy of science
From learning in the limit to stochastic finite learning
Theoretical Computer Science - Algorithmic learning theory
Learning a subclass of regular patterns in polynomial time
Theoretical Computer Science - Algorithmic learning theory
Learning Horn Expressions with LOGAN-H
The Journal of Machine Learning Research
kFOIL: learning simple relational kernels
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Autonomic networks: engineering the self-healing property
Engineering Applications of Artificial Intelligence
Parameter screening and optimisation for ILP using designed experiments
ILP'09 Proceedings of the 19th international conference on Inductive logic programming
Parameter Screening and Optimisation for ILP using Designed Experiments
The Journal of Machine Learning Research
A new design defects classification: marrying detection and correction
FASE'12 Proceedings of the 15th international conference on Fundamental Approaches to Software Engineering
Maintainability defects detection and correction: a multi-objective approach
Automated Software Engineering
Inductive Logic Programming and Embodied Agents: Possibilities and Limitations
International Journal of Agent Technologies and Systems
What you like in design use to correct bad-smells
Software Quality Control
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Techniques of machine learning have been successfully applied to various problems [1, 12]. Most of these applications rely on attribute-based learning, exemplified by the induction of decision trees as in the program C4.5 [20]. Broadly speaking, attribute-based learning also includes such approaches to learning as neural networks and nearest neighbor techniques. The advantages of attribute-based learning are: relative simplicity, efficiency, and existence of effective techniques for handling noisy data. However, attribute-based learning is limited to non-relational descriptions of objects in the sense that the learned descriptions do not specify relations among the objects' parts. Attribute-based learning thus has two strong limitations:the background knowledge can be expressed in rather limited form, andthe lack of relations makes the concept description language inappropriate for some domains.