Induction: processes of inference, learning, and discovery
Induction: processes of inference, learning, and discovery
Machine learning an artificial intelligence approach volume II
Machine learning an artificial intelligence approach volume II
A general theory of discrimination learning
Production system models of learning and development
The visual display of quantitative information
The visual display of quantitative information
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Stereophonic and surface sound generation for exploratory data analysis
CHI '90 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Unknown attribute values in induction
Proceedings of the sixth international workshop on Machine learning
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Concept formation knowledge and experience in unsupervised learning
Concept formation knowledge and experience in unsupervised learning
Knowledge discovery in databases: an overview
AI Magazine
Principles of Database Systems
Principles of Database Systems
An Introduction to Database Systems
An Introduction to Database Systems
Knowledge Discovery in Databases
Knowledge Discovery in Databases
Machine Learning
Database Mining: A Performance Perspective
IEEE Transactions on Knowledge and Data Engineering
Abstract-Driven Pattern Discovery in Databases
IEEE Transactions on Knowledge and Data Engineering
Inductive Learning in Deductive Databases
IEEE Transactions on Knowledge and Data Engineering
Learning Transformation Rules for Semantic Query Optimization: A Data-Driven Approach
IEEE Transactions on Knowledge and Data Engineering
Discovery of Inexact Concepts from Structural Data
IEEE Transactions on Knowledge and Data Engineering
VLDB '87 Proceedings of the 13th International Conference on Very Large Data Bases
Experiments on multistrategy learning by meta-learning
CIKM '93 Proceedings of the second international conference on Information and knowledge management
Discovery of decision rules in relational databases: a rough set approach
CIKM '94 Proceedings of the third international conference on Information and knowledge management
Segmentation-based modeling for advanced targeted marketing
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications
Data Mining and Knowledge Discovery
Mining Pharmacy Data Helps to Make Profits
Data Mining and Knowledge Discovery
A Fast Parallel Clustering Algorithm for Large Spatial Databases
Data Mining and Knowledge Discovery
A Unifying View on Instance Selection
Data Mining and Knowledge Discovery
Visualization Techniques for Mining Large Databases: A Comparison
IEEE Transactions on Knowledge and Data Engineering
Finding Interesting Patterns Using User Expectations
IEEE Transactions on Knowledge and Data Engineering
A Survey of Temporal Knowledge Discovery Paradigms and Methods
IEEE Transactions on Knowledge and Data Engineering
Generating Narratives from Plots Using Schema Information
NLDB '00 Proceedings of the 5th International Conference on Applications of Natural Language to Information Systems-Revised Papers
Constructing Libraries of Typical Plans
CAiSE '01 Proceedings of the 13th International Conference on Advanced Information Systems Engineering
Understanding and Simulating Narratives in the Context of Information Systems
ER '02 Proceedings of the 21st International Conference on Conceptual Modeling
Narratives and Temporal Databases: An Interdisciplinary Perspective
Selected Papers from the Symposium on Conceptual Modeling, Current Issues and Future Directions
NeuroRule: A Connectionist Approach to Data Mining
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
A knowledge-based system approach for scientific data analysis and the notion of metadata
MSS '95 Proceedings of the 14th IEEE Symposium on Mass Storage Systems
Discovering Matrix Attachment Regions (MARs) in genomic databases
ACM SIGKDD Explorations Newsletter
Instance-Based Regression by Partitioning Feature Projections
Applied Intelligence
Theory and application of cellular automata for pattern classification
Fundamenta Informaticae - Special issue on cellular automata
Architecture for knowledge discovery and knowledge management
Knowledge and Information Systems
Knowledge modeling -- State of the art
Integrated Computer-Aided Engineering
New approach for extracting knowledge from the XCS learning classifier system
International Journal of Hybrid Intelligent Systems
A hybrid approach to design efficient learning classifiers
Computers & Mathematics with Applications
Composing Miners to Develop an Intrusion Detection Solution
Privacy, Security, and Trust in KDD
MASSON: discovering commonalities in collection of objects using genetic programming
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Mining time series data by a fuzzy linguistic summary system
Fuzzy Sets and Systems
Extraction and exploitation of intensional knowledge from heterogeneous information sources: semi-automatic approaches and tools
Focusing solutions for data mining: analytical studies and experimental results in real-world domains
A visual environment for the creation of intelligent distributed decision support systems
CHINZ '03 Proceedings of the 4th Annual Conference of the ACM Special Interest Group on Computer-Human Interaction
Theory and Application of Cellular Automata For Pattern Classification
Fundamenta Informaticae - Cellular Automata
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Knowledge-discovery systems face challenging problems from real-world databases, which tend to be dynamic, incomplete, redundant, noisy, sparse, and very large. These problems are addressed and some techniques for handling them are described. A model of an idealized knowledge-discovery system is presented as a reference for studying and designing new systems. This model is used in the comparison of three systems: CoverStory, EXPLORA, and the Knowledge Discovery Workbench. The deficiencies of existing systems relative to the model reveal several open problems for future research.