Artificial intelligence and statistics
Artificial intelligence and statistics
Implementation and study of statistical strategy
Artificial intelligence and statistics
International Journal of Man-Machine Studies - Special Issue: Knowledge Acquisition for Knowledge-based Systems. Part 5
Task-structure analysis for knowledge modeling
Communications of the ACM - Special issue on analysis and modeling in software development
Characterizing the applicability of classification algorithms using meta-level learning
ECML-94 Proceedings of the European conference on machine learning on Machine Learning
Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
Evaluation and Selection of Biases in Machine Learning
Machine Learning - Special issue on bias evaluation and selection
Inductive Policy: The Pragmatics of Bias Selection
Machine Learning - Special issue on bias evaluation and selection
Recursive Automatic Bias Selection for Classifier Construction
Machine Learning - Special issue on bias evaluation and selection
The KDD process for extracting useful knowledge from volumes of data
Communications of the ACM
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
Efficient progressive sampling
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Towards automated synthesis of data mining programs
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
KDD-Cup 2000 organizers' report: peeling the onion
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Learning and making decisions when costs and probabilities are both unknown
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
A Survey of Methods for Scaling Up Inductive Algorithms
Data Mining and Knowledge Discovery
Characterization of Classification Algorithms
EPIA '95 Proceedings of the 7th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
The Effects of Training Set Size on Decision Tree Complexity
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Meta-Learning by Landmarking Various Learning Algorithms
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Towards Process-Oriented Tool Support for Knowledge Discovery in Databases
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
Tree induction vs. logistic regression: a learning-curve analysis
The Journal of Machine Learning Research
An Agenda- and Justification-Based Framework for Discovery Systems
Knowledge and Information Systems
Linear correlation discovery in databases: a data mining approach
Data & Knowledge Engineering
A survey of Knowledge Discovery and Data Mining process models
The Knowledge Engineering Review
Incremental development of CBR strategies for computing project cost probabilities
Advanced Engineering Informatics
Ontology-based models in pervasive computing systems
The Knowledge Engineering Review
Towards Data Mining Without Information on Knowledge Structure
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
Towards MKDA: A Knowledge Discovery Assistant for Researches in Medicine
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
Extending KDDML with a Visual Metaphor for the KDD Process
VISUAL '08 Proceedings of the 10th international conference on Visual Information Systems: Web-Based Visual Information Search and Management
Cross-disciplinary perspectives on meta-learning for algorithm selection
ACM Computing Surveys (CSUR)
A UML profile for the conceptual modelling of data-mining with time-series in data warehouses
Information and Software Technology
Assisting Data Mining through Automated Planning
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Semantic Analytical Reports: A Framework for Post-processing Data Mining Results
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Ontology-Driven KDD Process Composition
IDA '09 Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII
Ontological assistance for knowledge discovery in databases process
ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers
Approximating the number of frequent sets in dense data
Knowledge and Information Systems
Towards an Ontology of Data Mining Investigations
DS '09 Proceedings of the 12th International Conference on Discovery Science
Considering application domain ontologies for data mining
WSEAS Transactions on Information Science and Applications
The Knowledge Engineering Review
Expert Systems with Applications: An International Journal
Workflow construction for service-oriented knowledge discovery
ISoLA'10 Proceedings of the 4th international conference on Leveraging applications of formal methods, verification, and validation - Volume Part I
Auto-experimentation of KDD workflows based on ontological planning
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part II
Expert Systems with Applications: An International Journal
A framework proposal for ontologies usage in marketing databases
MEDI'11 Proceedings of the First international conference on Model and data engineering
SEWEBAR-CMS: semantic analytical report authoring for data mining results
Journal of Intelligent Information Systems
Modeling data mining processes in computational multi-agent systems
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
OntoDataClean: ontology-based integration and preprocessing of distributed data
ISBMDA'06 Proceedings of the 7th international conference on Biological and Medical Data Analysis
Cooperation between expert knowledge and data mining discovered knowledge: Lessons learned
Expert Systems with Applications: An International Journal
Using ontologies of software: example of r functions management
RED'10 Proceedings of the Third international conference on Resource Discovery
Evaluation of an integrated Knowledge Discovery and Data Mining process model
Expert Systems with Applications: An International Journal
A simple methodology for soft cost-sensitive classification
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
A survey of intelligent assistants for data analysis
ACM Computing Surveys (CSUR)
Building blocks for exploratory data analysis tools
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics
A virtual mart for knowledge discovery in databases
Information Systems Frontiers
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
Data guided approach to generate multi-dimensional schema for targeted knowledge discovery
AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
Automatic selection of classification learning algorithms for data mining practitioners
Intelligent Data Analysis
Evolutionary approach for automated component-based decision tree algorithm design
Intelligent Data Analysis - Business Analytics and Intelligent Optimization
Goal driven approach to model interaction between viewpoints of a multi-view KDD process
Journal of Mobile Multimedia
Hi-index | 0.01 |
A data mining (DM) process involves multiple stages. A simple, but typical, process might include preprocessing data, applying a data mining algorithm, and postprocessing the mining results. There are many possible choices for each stage, and only some combinations are valid. Because of the large space and nontrivial interactions, both novices and data mining specialists need assistance in composing and selecting DM processes. Extending notions developed for statistical expert systems we present a prototype Intelligent Discovery Assistant (IDA), which provides users with 1) systematic enumerations of valid DM processes, in order that important, potentially fruitful options are not overlooked, and 2) effective rankings of these valid processes by different criteria, to facilitate the choice of DM processes to execute. We use the prototype to show that an IDA can indeed provide useful enumerations and effective rankings in the context of simple classification processes. We discuss how an IDA could be an important tool for knowledge sharing among a team of data miners. Finally, we illustrate the claims with a demonstration of cost-sensitive classification using a more complicated process and data from the 1998 KDDCUP competition.