Saddys Segrera

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Francisco J GARCÍA-PEÑALVO

University of Salamanca

María Moreno García

University of Salamanca

Miguel Toro Bonilla

Universidad de Sevilla

Ahmed Rafea

American University in Cairo

Khaled Shaalan

The British University in Dubai

Boston College

Concordia University (Canada)

Afshin Salajegheh

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Papers by Saddys Segrera

Improving the Quality of Association Rules by Preprocessing Numerical Data

Numerical attribute management is a usual pre- processing task in data mining. Most of the algori... more Numerical attribute management is a usual pre- processing task in data mining. Most of the algorithms require the discretization of numerical attributes by splitting the continuous range of values into intervals. This task is critical in association rule induction since it has a significant influence in the quality of the induced rules. We have proposed a multivariate algorithm whose efficiency

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An Experimental Comparative Study of Web Mining Methods for Recommender Systems

An essential goal of the present web engineering is the development of efficient and competitive ... more An essential goal of the present web engineering is the development of efficient and competitive applications. This objective can be achieved by building recommender systems endowed with suitable web mining algorithms. Multiclassifiers are reliable data mining models that have been hardly used in the web system area. The paper presents a comparative study among different simple classifiers and multiclassifiers using

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A Method for Mining Quantitative Association Rules

Association rule mining is a significant research topic in the knowledge discovery area. In the l... more Association rule mining is a significant research topic in the knowledge discovery area. In the last years a great number of algorithms have been proposed with the objective of solving diverse drawbacks presented in the generation of association rules. One of the main problems is to obtain interesting rules from continuous numeric attributes. In this paper, a method for mining

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Aplicación de la minería de datos en la evaluación de la aptitud física de las tierras para el cultivo de la caña de azúcar

Resumen La evaluación de tierras es una herramienta para la planificación estratégica que ayuda a... more Resumen La evaluación de tierras es una herramienta para la planificación estratégica que ayuda a determinar el comportamiento de la tierra bajo usos determinados, en términos de beneficios, costos, y efectos ambientales. De ahí que sin clientes que utilicen los resultados de estos estudios, no tenga sentido hacerlos. El objetivo de este trabajo es tomar como caso de estudio los datos procedentes de las variables empleadas en la emisión de las categorías de aptitud física de las tierras del cultivo de la caña de azúcar en Cuba para aplicar técnicas de minería de datos que, a través de clasificadores, permitan predecir qué factores del suelo, del clima y agrícolas, presentes en las parcelas estudiadas, podrían ser más determinantes en este proceso. En la realización de este estudio se ha empleado la herramienta WEKA que se encuentra disponible de forma gratuita en Internet, creada por especialistas de la Universidad de Waikato y también Mineset de Silicon Graphics Inc.; el primer sis...

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Mining semantic data for solving first-rater and cold-start problems in recommender systems

Proceedings of the 15th Symposium on International Database Engineering & Applications - IDEAS '11, 2011

... Proc. of ACM Conference on Computer Supported Cooperative Work, 175-186. [6] Sarwar, B., Kary... more

A System for Efficient Portfolio Management

Lecture Notes in Computer Science, 2007

In this work we perform an automatic data survey to draw up an optimum portfolio, and to automate... more In this work we perform an automatic data survey to draw up an optimum portfolio, and to automate the one year forecast of a portfolio’s payoff and risk, showing the advantages of using formally grounded models in portfolio management and adopting a strategy that ensures, a high rate of return at a minimum risk. The use of neural networks provides

Classification Based on Association Rules for Adaptive Web Systems

Advances in Soft Computing, 2007

ABSTRACT The main objective of this work is to apply more effective methods than the traditional ... more ABSTRACT The main objective of this work is to apply more effective methods than the traditional supervised techniques in the implementation of personalized recommender systems, which improve the accuracy of the predictions in classification tasks. Different model-based classification algorithms based on association rules and others that combine the induction of decision trees with this type of rule were studied. Data from the MovieLens recommender system was used in the analysis and comparison of the different algorithms.

Evolution of Decision Support System Architectures: applications for land planning and management in Cuba

The main objective of this paper centers on reviewing the evolution of Decision Support System&#x... more The main objective of this paper centers on reviewing the evolution of Decision Support System's (DSS) architectures, particularly as they apply to natural resources. Today it is difficult to conceive the existence of a rural planning automated system that doesn't include spatial analysis functionality and that does not consider the integrated use of different analytical modules. This wider range of functions allow for solving problems from resource and environmental management. Geographical Information Systems (GIS), automated land evaluation, multi-criteria participatory analysis in decision making are but the most salient technologies in a DSS. DSS have evolved; their architecture, mode of implementation, as well as their functionality and the incorporation of new computational techniques have advanced lately. In the particular case of Cuba, the first steps in materializing this evolution have begun. At present, the National Sugar Cane Research Institute (INICA) leads a...

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Association Rules: Problems, solutions and new applications

Association rule mining is an important component of data mining. In the last years a great numbe... more Association rule mining is an important component of data mining. In the last years a great number of algorithms have been proposed with the objective of solving the obstacles presented in the generation of association rules. In this work, we offer a revision of the main drawbacks and proposals of solutions documented in the literature, including our own ones. The work is focused also in the classification function of the association rules, a promising technique which is the subject of recent studies.

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Framework for the development of a personalised recommender system with integrated web-mining functionalities

International Journal of Computer Applications in Technology, 2008

... other users. The opinions can be obtained explicitly from the users as a rating score (Cheung... more

Improving the Quality of Association Rules by Preprocessing Numerical Data

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An Experimental Comparative Study of Web Mining Methods for Recommender Systems

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A Method for Mining Quantitative Association Rules

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Aplicación de la minería de datos en la evaluación de la aptitud física de las tierras para el cultivo de la caña de azúcar

Download

Mining semantic data for solving first-rater and cold-start problems in recommender systems

Proceedings of the 15th Symposium on International Database Engineering & Applications - IDEAS '11, 2011

... Proc. of ACM Conference on Computer Supported Cooperative Work, 175-186. [6] Sarwar, B., Kary... more

A System for Efficient Portfolio Management

Lecture Notes in Computer Science, 2007

Classification Based on Association Rules for Adaptive Web Systems

Advances in Soft Computing, 2007

Evolution of Decision Support System Architectures: applications for land planning and management in Cuba

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Association Rules: Problems, solutions and new applications

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Framework for the development of a personalised recommender system with integrated web-mining functionalities

International Journal of Computer Applications in Technology, 2008

... other users. The opinions can be obtained explicitly from the users as a rating score (Cheung... more

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