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» Visualizing and Evaluating Complexity of Textual Case Bases
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EWCBR
2008
Springer
13 years 6 months ago
Visualizing and Evaluating Complexity of Textual Case Bases
We present an approach to visualize textual case bases by "stacking" similar cases and features close to each other in an image derived from the casefeature matrix. We pr...
Sutanu Chakraborti, Ulises Cerviño Beresi, ...
EWCBR
2006
Springer
13 years 8 months ago
Rough Set Feature Selection Algorithms for Textual Case-Based Classification
Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...
Kalyan Moy Gupta, David W. Aha, Philip Moore
ICCBR
2007
Springer
13 years 11 months ago
Knowledge Extraction and Summarization for an Application of Textual Case-Based Interpretation
Abstract. This paper presents KES (Knowledge Extraction and Summarization), a new knowledge-enhanced approach that builds a case memory out of episodic textual narratives. These na...
Eni Mustafaraj, Martin Hoof, Bernd Freisleben
EWCBR
2004
Springer
13 years 10 months ago
Investigating Graphs in Textual Case-Based Reasoning
Textual case-based reasoning (TCBR) provides the ability to reason with domain-specific knowledge when experiences exist in text. Ideally, we would like to find an inexpensive way ...
Colleen Cunningham, Rosina Weber, Jason M. Proctor...
SOFSEM
2007
Springer
13 years 11 months ago
Improved Processing of Textual Use Cases: Deriving Behavior Specifications
The requirements for a system are often specified as textual use cases. Although they are written in natural language, the simple and uniform sentence structure used makes automate...
Jaroslav Drazan, Vladimir Mencl