Comprehension and recall of miniature programs
International Journal of Man-Machine Studies - Lecture notes in computer science Vol. 174
Structured tools and conditional logic: an empirical investigation
Communications of the ACM
International Journal of Man-Machine Studies - Special Issue: Knowledge Acquisition for Knowledge-based Systems. Part 5
Graphics and managerial decision making: research-based guidelines
Communications of the ACM
A comparison of the decision table and tree
Communications of the ACM
C4.5: programs for machine learning
C4.5: programs for machine learning
Graphs and tables: a four-factor experiment
Communications of the ACM
The effect of information presentation on decision making: a cost-benefit analysis
Information and Management
From decision tables to expert system shells
Data & Knowledge Engineering
Task-technology fit and individual performance
MIS Quarterly
An illustration of verification and validation in the modelling phase of KBS development
Data & Knowledge Engineering
Representation of propositional expert systems as partial functions
Artificial Intelligence
Representational congruence and information retrieval: towards an extended model of cognitive fit
Decision Support Systems
Information visualization: perception for design
Information visualization: perception for design
Methodological and practical aspects of data mining
Information and Management
Business information visualization
Communications of the AIS
Symbolic Interpretation of Artificial Neural Networks
IEEE Transactions on Knowledge and Data Engineering
Knowledge discovery from data?
IEEE Intelligent Systems
Machine Learning
ECML '95 Proceedings of the 8th European Conference on Machine Learning
Extracting symbolic rules from trained neural network ensembles
AI Communications - Special issue on Artificial intelligence advances in China
The influence of information presentation formats on complex task decision-making performance
International Journal of Human-Computer Studies
Incorporating domain knowledge into data mining classifiers: An application in indirect lending
Decision Support Systems
Decompositional Rule Extraction from Support Vector Machines by Active Learning
IEEE Transactions on Knowledge and Data Engineering
Pruned neural networks for regression
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
ITER: an algorithm for predictive regression rule extraction
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Inducing oblique decision trees with evolutionary algorithms
IEEE Transactions on Evolutionary Computation
Identifying financially successful start-up profiles with data mining
Expert Systems with Applications: An International Journal
On the relation between decision structures, tables and processes
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems
Learning data structure from classes: A case study applied to population genetics
Information Sciences: an International Journal
Behavior modeling from learning agents: sensitivity to objective function details
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Help that is not recognized: Harmful neglect of decision support systems
Decision Support Systems
A comparison of representations for discrete multi-criteria decision problems
Decision Support Systems
How to design agent-based simulation models using agent learning
Proceedings of the Winter Simulation Conference
Behavior Abstraction Robustness in Agent Modeling
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
Improving the interpretability of classification rules discovered by an ant colony algorithm
Proceedings of the 15th annual conference on Genetic and evolutionary computation
An interpretable classification rule mining algorithm
Information Sciences: an International Journal
Using a transactor/revolver scorecard to make credit and pricing decisions
Decision Support Systems
CBC: An associative classifier with a small number of rules
Decision Support Systems
Comprehensible classification models: a position paper
ACM SIGKDD Explorations Newsletter
| Hi-index | 0.00 |
An important objective of data mining is the development of predictive models. Based on a number of observations, a model is constructed that allows the analysts to provide classifications or predictions for new observations. Currently, most research focuses on improving the accuracy or precision of these models and comparatively little research has been undertaken to increase their comprehensibility to the analyst or end-user. This is mainly due to the subjective nature of 'comprehensibility', which depends on many factors outside the model, such as the user's experience and his/her prior knowledge. Despite this influence of the observer, some representation formats are generally considered to be more easily interpretable than others. In this paper, an empirical study is presented which investigates the suitability of a number of alternative representation formats for classification when interpretability is a key requirement. The formats under consideration are decision tables, (binary) decision trees, propositional rules, and oblique rules. An end-user experiment was designed to test the accuracy, response time, and answer confidence for a set of problem-solving tasks involving the former representations. Analysis of the results reveals that decision tables perform significantly better on all three criteria, while post-test voting also reveals a clear preference of users for decision tables in terms of ease of use.