Principles of artificial intelligence
Principles of artificial intelligence
Algorithms for the identifications of three-dimensional maximal common substructures
Journal of Chemical Information & Computer Sciences
Scaling up inductive learning with massive parallelism
Machine Learning
Solving the multiple instance problem with axis-parallel rectangles
Artificial Intelligence
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Knowledge-Based Learning in Exploratory Science: Learning Rules to Predict Rodent Carcinogenicity
Machine Learning - Special issue on applications of machine learning and the knowledge discovery process
Algorithmic Program DeBugging
ILP '96 Selected Papers from the 6th International Workshop on Inductive Logic Programming
An Initial Experiment into Stereochemistry-Based Drug Design Using Inductive Logic Programming
ILP '96 Selected Papers from the 6th International Workshop on Inductive Logic Programming
Guest Editors‘ Introduction: On Applied Research in MachineLearning
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
Logic-based artificial intelligence
Relational rule induction with CPROGO14.4: a tutorial introductuon
Relational Data Mining
Relational data mining applications: an overview
Relational Data Mining
Four suggestions and a rule concerning the application of ILP
Relational Data Mining
The Computational Support of Scientific Discovery
Machine Learning and Its Applications, Advanced Lectures
CL '00 Proceedings of the First International Conference on Computational Logic
ALT '00 Proceedings of the 11th International Conference on Algorithmic Learning Theory
Biochemical Knowledge Discovery Using Inductive Logic Programming
DS '98 Proceedings of the First International Conference on Discovery Science
Knowledge Discovery in Biological and Chemical Domains
DS '98 Proceedings of the First International Conference on Discovery Science
The Computer-Aided Discovery of Scientific Knowledge
DS '98 Proceedings of the First International Conference on Discovery Science
ILP '00 Proceedings of the 10th International Conference on Inductive Logic Programming
Handbook of data mining and knowledge discovery
Learning comprehensible theories from structured data
Advanced lectures on machine learning
Accelerating the Drug Design Process through Parallel Inductive Logic Programming Data Mining
CSB '03 Proceedings of the IEEE Computer Society Conference on Bioinformatics
Ilp: a short look back and a longer look forward
The Journal of Machine Learning Research
Biological applications of multi-relational data mining
ACM SIGKDD Explorations Newsletter
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Intelligent decision support for protein crystal growth
IBM Systems Journal - Deep computing for the life sciences
MoSS: a program for molecular substructure mining
Proceedings of the 1st international workshop on open source data mining: frequent pattern mining implementations
Quantitative pharmacophore models with inductive logic programming
Machine Learning
An integrated approach to feature invention and model construction for drug activity prediction
Proceedings of the 24th international conference on Machine learning
Structured machine learning: the next ten years
Machine Learning
Towards Automating Simulation-Based Design Verification Using ILP
Inductive Logic Programming
Logic and the Automatic Acquisition of Scientific Knowledge: An Application to Functional Genomics
Computational Discovery of Scientific Knowledge
Discovering Knowledge from Multi-relational Data Based on Information Retrieval Theory
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
An ILP System for Learning Head Output Connected Predicates
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
The Knowledge Engineering Review
Uncovering age-specific invasive and DCIS breast cancer rules using inductive logic programming
Proceedings of the 1st ACM International Health Informatics Symposium
An inductive logic programming approach to validate Hexose binding biochemical knowledge
ILP'09 Proceedings of the 19th international conference on Inductive logic programming
An efficient distributed subgraph mining algorithm in extreme large graphs
AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part I
ILP'10 Proceedings of the 20th international conference on Inductive logic programming
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This paper presents a case study of a machine-aided knowledgediscovery process within the general area of drug design. Within drugdesign, the particular problem of pharmacophore discovery is isolated, andthe Inductive Logic Programming (ILP) system progol is applied to theproblem of identifying potential pharmacophores for ACE inhibition. The casestudy reported in this paper supports four general lessons for machinelearning and knowledge discovery, as well as more specific lessons forpharmacophore discovery, for Inductive Logic Programming, and for ACEinhibition. The general lessons for machine learning and knowledge discoveryare as follows. 1. An initial rediscovery step is a useful tool whenapproaching a new application domain.2. General machine learning heuristics may fail to match the details ofan application domain, but it may be possible to successfully apply aheuristic-based algorithm in spite of the mismatch.3. A complete search for all plausible hypotheses can provide usefulinformation to a user, although experimentation may be required to choosebetween competing hypotheses.4. A declarative knowledge representation facilitates the development anddebugging of background knowledge in collaboration with a domain expert, aswell as the communication of final results.