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FUZZIEEE
2007
IEEE
14 years 4 months ago
Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
Luciano Sánchez, José Otero
CIVR
2004
Springer
135views Image Analysis» more  CIVR 2004»
14 years 1 months ago
Knowledge Assisted Analysis and Categorization for Semantic Video Retrieval
In this paper we discuss the use of knowledge for the analysis and semantic retrieval of video. We follow a fuzzy relational approach to knowledge representation, based on which we...
Manolis Wallace, Thanos Athanasiadis, Yannis S. Av...
KDD
1997
ACM
169views Data Mining» more  KDD 1997»
14 years 1 months ago
Learning to Extract Text-Based Information from the World Wide Web
Thereis a wealthof informationto be minedfromnarrative text on the WorldWideWeb.Unfortunately, standard natural language processing (NLP)extraction techniques expect full, grammat...
Stephen Soderland
IAT
2008
IEEE
14 years 4 months ago
Acquiring Vague Temporal Information from the Web
Many real–world information needs are naturally formulated as queries with temporal constraints. However, the structured temporal background information needed to support such c...
Steven Schockaert, Martine De Cock, Etienne E. Ker...
INCDM
2010
Springer
208views Data Mining» more  INCDM 2010»
13 years 11 months ago
Combining Unsupervised and Supervised Data Mining Techniques for Conducting Customer Portfolio Analysis
Abstract. Leveraging the power of increasing amounts of data to analyze customer base for attracting and retaining the most valuable customers is a major problem facing companies i...
Zhiyuan Yao, Annika H. Holmbom, Tomas Eklund, Barb...