Open AccessJournal Article
Semi-Automatic Visual Subgroup Mining using VIKAMINE
Martin Atzmüller,Frank Puppe +1 more
TL;DR: A novel sub group mining approach for explorative and descriptive data mining implemented in the VIKAMINE system is presented and several integrated visualization methods to support subgroup mining are proposed.
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Abstract: Visual mining methods enable the direct integration of the user to overcome major problems of automatic data mining methods, e.g., the presentation of uninteresting results, lack of acceptance of the discovered findings, or limited confidence in these. We present a novel subgroup mining approach for explorative and descriptive data mining implemented in the VIKAMINE system. We propose several integrated visualization methods to support subgroup mining. Fur- thermore, we describe three case studies using data from fielded systems in the medical domain.
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Citations
Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining
TL;DR: It is shown that various rule learning heuristics used in CSM, EPM and SD algorithms all aim at optimizing a trade off between rule coverage and precision.
An overview on subgroup discovery: foundations and applications
TL;DR: This review focuses on the foundations, algorithms, and advanced studies together with the applications of subgroup discovery presented throughout the specialised bibliography.
Handbook of Data Mining and Knowledge Discovery
TL;DR: This is it, the handbook of data mining and knowledge discovery that will be your best choice for better reading book that you will not spend wasted by reading this website.
294
Subgroup discovery
TL;DR: Subgroup discovery is a broadly applicable descriptive data mining technique for identifying interesting subgroups according to some property of interest as mentioned in this paper, and it is a widely used technique in data mining.
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VIKAMINE - open-source subgroup discovery, pattern mining, and analytics
Martin Atzmueller,Florian Lemmerich +1 more
- 24 Sep 2012
TL;DR: The VIKAMINE system for subgroup discovery, pattern mining and analytics, implemented as rich-client platform (RCP) application, based on the Eclipse framework, and allows modular extensions using plugins is presented.
References
•Book
Data Mining: Concepts and Techniques
Jiawei Han,Micheline Kamber,Jian Pei +2 more
- 08 Sep 2000
TL;DR: This book presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects, and provides a comprehensive, practical look at the concepts and techniques you need to get the most out of real business data.
The eyes have it: a task by data type taxonomy for information visualizations
Ben Shneiderman
- 03 Sep 1996
TL;DR: A task by data type taxonomy with seven data types and seven tasks (overview, zoom, filter, details-on-demand, relate, history, and extracts) is offered.
•Book
Handbook of Data Mining and Knowledge Discovery
Willi Klösgen,Jan M. Zytkow +1 more
- 15 Jun 2002
TL;DR: Part A: Data mining and knowledge discovery Part B: Fundamental Concepts Part C: The process of knowledge discovery in databases Part D: Discovery Systems Part E: Interdisciplinary links of KDD Part F: Business problems Part G: Industry sectors Part H: KDD in practice: case studies
559
Handbook of Data Mining and Knowledge Discovery
TL;DR: This is it, the handbook of data mining and knowledge discovery that will be your best choice for better reading book that you will not spend wasted by reading this website.
294
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