the Bio-Basis Function Neural Network (BBFNN) is a successful neural network architecture for peptide classification. However, the selection of a subset of peptides for a parsimonious network structure is always a dif...
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Clustering is used to generate groupings of data from a large dataset, withthe intention of representing the behavior of a system as accurately as possible. In this sense, clustering is applied in this work to extrac...
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the biclustering techniques have the purpose of finding subsets of genes that show similar activity patterns under a subset of conditions. In this paper we characterize a specific type of pattern, that we have called ...
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this work tries to go a step further in the development of methods based on automatic learning techniques to parse and interpret data relating to cognitive decline (CD). there have been studied the neuropsychological ...
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Mining association rules is a major technique within data mining and has many applications. Most methods for mining association rules from tabular data mine simple rules which only represent equality in their items. L...
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Microarray techniques have motivated the develop of different methods to extract useful information from a biological point of view. Biclustering algorithms obtain a set of genes withthe same behaviour over a group o...
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Based on SCORM sequencing and navigation specifications, a learning management system has been developed. the system has intelligent tutoring system capabilities that allow contents, presentation and navigation to be ...
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ISBN:
(纸本)9783540769927
Based on SCORM sequencing and navigation specifications, a learning management system has been developed. the system has intelligent tutoring system capabilities that allow contents, presentation and navigation to be adapted according to the learner's requirements. In order to achieve that development, two concepts were put together: multi-agent systems and data mining techniques (especially the ID3 algorithm). All the implementation code was developed in ***, which implied building a supporting framework for agents. the results of a pilot test were favorable.
We present a face verification system using Parallel Gabor Principal Component Analysis (PGPCA) and fusion of Support Vector Machines (SVM) scores. the algorithm has been tested on two databases: XM2VTS (frontal image...
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the proceedings contain 58 papers. the topics discussed include: on tree pattern query rewriting using views;querying capability modeling and construction of deep Web sources;evaluating rater credibility for reputatio...
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ISBN:
(纸本)9783540769927
the proceedings contain 58 papers. the topics discussed include: on tree pattern query rewriting using views;querying capability modeling and construction of deep Web sources;evaluating rater credibility for reputation assessment of Web services;an approach to trust based on social networks;time filtering for better recommendations with small and sparse rating matrices;using clustering and edit distance techniques for automatic Web data extraction;a Web-based learning resource service system based on mobile agent;an object-oriented version model for context-aware data management;a replicated study comparing Web effort estimation techniques;a framework for business operations management systems;a practical method and tool for systems engineering of service-oriented applications;privacy inspection and monitoring framework for automated business processes;and a recommender system with interest-drifting.
In this paper we present a new approach to add intelligence to Internet browsers user interface. Our contribution is based on improving browsers revisitation capabilities by learning a model from user's navigation...
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ISBN:
(纸本)9783540769927
In this paper we present a new approach to add intelligence to Internet browsers user interface. Our contribution is based on improving browsers revisitation capabilities by learning a model from user's navigation behaviour, that later is used to predict a set of bookmarks likely to be used next. these set of bookmarks must be a list of moderate size (<= 10) because our goal is to show them in the browser bookmarks personal toolbar. We think that dealing withthis part of the user interface is beneficial for revisitation because it is always visible and on the contrary to history or bookmarks list (tree) the user can access the desired web page by using a single mouse click. In this work we focus on performing the comparison of several (computationally) simple classifiers in order to identify a good candidate to be used as user navigation model. From the experiments carried out we identify that a combination of Naive Bayes with OneR could be a good choice.
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