VizCluster and its Application on Classifying Gene Expression Data
Distributed and Parallel Databases
WebFrame: In Pursuit of Computationally and Cognitively Efficient Web Mining
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Dimensionality reduction via sparse support vector machines
The Journal of Machine Learning Research
The role of visualization in effective data cleaning
Proceedings of the 2005 ACM symposium on Applied computing
Experimental study on evaluation of multidimensional information visualization techniques
CLIHC '05 Proceedings of the 2005 Latin American conference on Human-computer interaction
Exploring erotics in Emily Dickinson's correspondence with text mining and visual interfaces
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Knowledge visualization in hepatitis study
APVis '06 Proceedings of the 2006 Asia-Pacific Symposium on Information Visualisation - Volume 60
Visual Analytics: A 2D-3D visualization support for human-centered rule mining
Computers and Graphics
Interactive visual exploration of association rules with rule-focusing methodology
Knowledge and Information Systems
Towards a conceptual framework for visual analytics of time and time-oriented data
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
A searching method based on problem description and algorithmic features
International Journal of Computational Science and Engineering
Visual Methods for Examining SVM Classifiers
Visual Data Mining
Teaching Information Visualization
Information Visualization
A Component-Based Framework for Visualization of Intrusion Detection Events
Information Security Journal: A Global Perspective
PIRE: a global living laboratory for cyberinfrastructure application enablement
The Fifth Richard Tapia Celebration of Diversity in Computing Conference: Intellect, Initiatives, Insight, and Innovations
Formal and conceptual modeling of spatio-temporal granularities
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
Expert Systems with Applications: An International Journal
Visualizing transactional data with multiple clusterings for knowledge discovery
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Visualizing very large graphs using clustering neighborhoods
LPD'04 Proceedings of the 2004 international conference on Local Pattern Detection
Semi-supervised classification using tree-based self-organizing maps
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
Growing Self-Organizing Map with cross insert for mixed-type data clustering
Applied Soft Computing
On achieving semi-supervised pattern recognition by utilizing tree-based SOMs
Pattern Recognition
VISSYM'04 Proceedings of the Sixth Joint Eurographics - IEEE TCVG conference on Visualization
Analysis of customer preference through unforced natural passive observation
HCI'13 Proceedings of the 15th international conference on Human-Computer Interaction: users and contexts of use - Volume Part III
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From the Publisher:Mainstream data mining techniques significantly limit the role of human reasoning and insight. Likewise, in data visualization, the role of computational analysis is relatively small. The power demonstrated individually by these approaches to knowledge discovery suggests that somehow uniting the two could lead to increased efficiency and more valuable results. But is this true? How might it be achieved? And what are the consequences for data-dependent enterprises? Information Visualization in Data Mining and Knowledge Discovery is the first book to ask and answer these thought-provoking questions. It is also the first book to explore the fertile ground of uniting data mining and data visualization principles in a new set of knowledge discovery techniques. Leading researchers from the fields of data mining, data visualization, and statistics present findings organized around topics introduced in two recent international knowledge discovery and data mining workshops. Collected and edited by three of the area's most influential figures, these chapters introduce the concepts and components of visualization, detail current efforts to include visualization and user interaction in data mining, and explore the potential for further synthesis of data mining algorithms and data visualization techniques. This incisive, groundbreaking research is sure to wield a strong influence in subsequent efforts in both academic and corporate settings. Features Details advances made by leading researchers from the fields of data mining, data visualization, and statistics. Provides a useful introduction to the science of visualization, sketches the current role for visualization in data mining, and then takes a long look into its mostly untapped potential. Presents the findings of recent international KDD workshops as formal chapters that together comprise a complete, cohesive body of research. Offerss compelling and practical information for professionals and researchers in database technology, data mining, knowledge discovery, artificial intelligence, machine learning, neural networks, statistics, pattern recognition, information retrieval, high-performance computing, and data visualization. Author Biography: Usama Fayyad is co-founder, president, and CEO of digiMine, a data warehousing and data mining ASP. Prior to digiMine, he founded and led Microsoft's Data Mining and Exploration Group, where he developed data mining prediction components for Microsoft Site Server and scalable algorithms for mining large databases. Georges G. Grinstein is a professor of computer science, director of the Institute for Visualization and Perception Research, and co-director of the Center for Bioinformatics and Computational Biology at the University of Massachusetts, Lowell. He is currently the chief technologist for AnVil Informatics, a data exploration company. Andreas Wierse is the managing director of VirCinity, a spin-off company of the Computing Centre of the University of Stuttgart. Previously, he worked at the Computer Centre, where he designed and implemented distributed data management for the COVISE visualization system and maintained a wide range of graphics workstations.