Human-computer interface design guidelines
Human-computer interface design guidelines
Tree visualization with tree-maps: 2-d space-filling approach
ACM Transactions on Graphics (TOG)
C4.5: programs for machine learning
C4.5: programs for machine learning
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Data preparation for data mining
Data preparation for data mining
Visual classification: an interactive approach to decision tree construction
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Towards an effective cooperation of the user and the computer for classification
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Visualization and the process of modeling: a cognitive-theoretic view
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Interactive machine learning: letting users build classifiers
International Journal of Human-Computer Studies
Visualizing Categorical Data
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Data Mining and Knowledge Discovery
The Role of Occam‘s Razor in Knowledge Discovery
Data Mining and Knowledge Discovery
A Flexible Approach for Visual Data Mining
IEEE Transactions on Visualization and Computer Graphics
A Comparison of 2-D Visualizations of Hierarchies
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
Simplifying decision trees: A survey
The Knowledge Engineering Review
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
Workshop on HCI research and practice agenda based on human needs and social responsibility
CHI EA '97 CHI '97 Extended Abstracts on Human Factors in Computing Systems
Including the user in the knowledge discovery loop: interactive itemset-driven rule extraction
Proceedings of the 2008 ACM symposium on Applied computing
Towards Effective Visual Data Mining with Cooperative Approaches
Visual Data Mining
Visual Verification of Hypotheses
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
VDM-RS: A visual data mining system for exploring and classifying remotely sensed images
Computers & Geosciences
Interactive visual decision tree classification
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: interaction platforms and techniques
Expert Systems with Applications: An International Journal
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The loosely coupled relationships between visualization and analytical data mining (DM) techniques represent the majority of the current state of art in visual data mining; DM modeling is typically an automatic process with very limited forms of guidance from users. A conceptual model of the visualization support to DM modeling process and a novel interactive visual decision tree (IVDT) classification process have been proposed in this paper, with the aim of exploring humans' pattern recognition ability and domain knowledge to facilitate the knowledge discovery process. An IVDT for categorical input attributes has been developed and experimented on 20 subjects to test three hypotheses regarding its potential advantages. The experimental results suggested that, compared to the automatic modeling process as typically applied in current decision tree modeling tools, IVDT process can improve the effectiveness of modeling in terms of producing trees with relatively high classification accuracies and small sizes, enhance users' understanding of the algorithm, and give them greater satisfaction with the task.