Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Information retrieval
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Visualization of a document collection: the vibe system
Information Processing and Management: an International Journal
Automatic concept classification of text from electronic meetings
Communications of the ACM
The process of knowledge discovery in databases
Advances in knowledge discovery and data mining
Lexical navigation: visually prompted query expansion and refinement
DL '97 Proceedings of the second ACM international conference on Digital libraries
Multidimensional access methods
ACM Computing Surveys (CSUR)
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Clustering Algorithms
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining Techniques: For Marketing, Sales, and Customer Support
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
On Clustering Validation Techniques
Journal of Intelligent Information Systems
Machine Learning
Model Selection in Unsupervised Learning with Applications To Document Clustering
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Self-Organization of Digital Documents Based on Process-Oriented Relations
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 3 - Volume 3
Genre-Based Metadata for Enterprise Document Management
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 3 - Volume 3
Interactive Document Summarisation Using Automatically Extracted Keyphrases
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 4 - Volume 4
A multi-attribute, multi-weight clustering approach to managing ";e-mail overload"
Decision Support Systems
Understanding complex IT environments using information analytics and visualization
Proceedings of the 2007 symposium on Computer human interaction for the management of information technology
Journal of Management Information Systems
Preserving User Preferences in Automated Document-Category Management: An Evolution-Based Approach
Journal of Management Information Systems
COBRA - mining web for COrporate Brand and Reputation Analysis
Web Intelligence and Agent Systems
Journal of Management Information Systems
Commercial Internet filters: Perils and opportunities
Decision Support Systems
Business insights workbench: an interactive insights discovery solution
Proceedings of the 2007 conference on Human interface: Part II
A scalable approach for performing proximal search for verbose patent search queries
Proceedings of the 21st ACM international conference on Information and knowledge management
Concept comparison engines: A new frontier of search
Decision Support Systems
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We present a novel system and methodology for generating and then browsing multiple taxonomies over a document collection. Taxonomies are generated using a broad set of capabilities, including meta data, key word queries, and automated clustering techniques that serve as a seed taxonomy.The taxonomy editor, eClassifier, provides powerful tools to visualize and edit each taxonomy to make it reflective of the desired theme. Cluster validation tools allow the editor to verify that documents received in the future can be automatically classified into each taxonomy with sufficiently high accuracy. In general, those seeking knowledge from a document collection may have only a vague notion of exactly what they are attempting to understand, and would like to explore related topics and concepts rather than simply being given a set of documents. For this purpose, we have developed MindMap, an interface utilizing multiple taxonomies and the ability to interact with a document collection.