Using free data mining software and clustering algorithms to find predictors from student qualifications

In this project a research both in finding predictors via clustering techniques and in reviewing the Data Mining free software is achieved. The research is based in a case of study, from where additionally to the KDD free software used by the scientific community; a new free tool for pre-processing the data is presented. The predictors are intended for the e-learning domain as the data from where these predictors have to be inferred are student qualifications from different e-learning environments. Through our case of study not only clustering algorithms are tested but also additional goals are proposed.

Búsqueda, selección e implantación de un sistema online de software libre para revisión por pares en congresos científicos

Este proyecto tiene como objetivo implementar un sistema libre bajo GNU/Linux para la recepción y evaluación de trabajos presentados a un congreso argentino sobre sistemas embebidos. Además, se piensa en un futuro en organizar un evento de software libre con revisión de pares, para lo cual sería coherente utilizar un sistema con licencia de software libre.

Especial: Jornadas de Formación sobre los Programas de Hábitos de vida saludable en el ámbito educativo

Boletín semanal para profesionales sanitarios de la Secretaría General de Calidad, Innovación y Salud Pública de la Consejería de Igualdad, Salud y Políticas Sociales

AUVReport : Software de control y generación de informes para Vehículos Autónoos Submarinos

Desarrollo de software para el control de calidad y la generación automatizada de informes técnicos sobre ficheros de estado generados por AUV (vehículos autónomos submarinos).

ERP vs software de gestió a entorns complexos de producció

L'objectiu principal de l'estudi és fer una avaluació d'una possible introducció a l'ERP d'un entorn complex de producció com pot ser el món de l'electrònica. Partirem de la hipòtesi que l'empresa vol substituir el software de gestió que fa servir actualment, i que ha estat desenvolupat internament, per plantejar la possibilitat d'introduir aquest entorn sota l'ERP actual o utilitzar un software de gestió de tercers.

Escuela de familias, un sitio web para la participación e implicación de las familias en el proceso educativo

Boletín semanal para profesionales sanitarios de la Secretaría General de Calidad, Innovación y Salud Pública de la Consejería de Igualdad, Salud y Políticas Sociales

ApplicationMap : Administración web y comercio electrónico en entornos de software libre

Este proyecto tiene como objetivo desarrollar las herramientas necesarias para poder crear un mapa conceptual de las aplicaciones de una organización, representar gráficamente este mapa y controlar el estado de cada aplicación. En concreto, se trata de desarrollar un formato XML que permita identificar y describir una aplicación, detallar con qué tecnología está desarrollada, qué componentes utiliza, especificar las interacciones o dependencias con otros sistemas, etc.

Study and implementation of some quantitative trading models

Quantitative or algorithmic trading is the automatization of investments decisions obeying a fixed or dynamic sets of rules to determine trading orders. It has increasingly made its way up to 70% of the trading volume of one of the biggest financial markets such as the New York Stock Exchange (NYSE). However, there is not a signi cant amount of academic literature devoted to it due to the private nature of investment banks and hedge funds. This projects aims to review the literature and discuss the models available in a subject that publications are scarce and infrequently. We review the basic and fundamental mathematical concepts needed for modeling financial markets such as: stochastic processes, stochastic integration and basic models for prices and spreads dynamics necessary for building quantitative strategies. We also contrast these models with real market data with minutely sampling frequency from the Dow Jones Industrial Average (DJIA). Quantitative strategies try to exploit two types of behavior: trend following or mean reversion. The former is grouped in the so-called technical models and the later in the so-called pairs trading. Technical models have been discarded by financial theoreticians but we show that they can be properly cast into a well defined scientific predictor if the signal generated by them pass the test of being a Markov time. That is, we can tell if the signal has occurred or not by examining the information up to the current time; or more technically, if the event is F_t-measurable. On the other hand the concept of pairs trading or market neutral strategy is fairly simple. However it can be cast in a variety of mathematical models ranging from a method based on a simple euclidean distance, in a co-integration framework or involving stochastic differential equations such as the well-known Ornstein-Uhlenbeck mean reversal ODE and its variations. A model for forecasting any economic or financial magnitude could be properly defined with scientific rigor but it could also lack of any economical value and be considered useless from a practical point of view. This is why this project could not be complete without a backtesting of the mentioned strategies. Conducting a useful and realistic backtesting is by no means a trivial exercise since the \laws" that govern financial markets are constantly evolving in time. This is the reason because we make emphasis in the calibration process of the strategies' parameters to adapt the given market conditions. We find out that the parameters from technical models are more volatile than their counterpart form market neutral strategies and calibration must be done in a high-frequency sampling manner to constantly track the currently market situation. As a whole, the goal of this project is to provide an overview of a quantitative approach to investment reviewing basic strategies and illustrating them by means of a back-testing with real financial market data. The sources of the data used in this project are Bloomberg for intraday time series and Yahoo! for daily prices. All numeric computations and graphics used and shown in this project were implemented in MATLAB^R scratch from scratch as a part of this thesis. No other mathematical or statistical software was used.

JULIDE: a software tool for 3D reconstruction and statistical analysis of autoradiographic mouse brain sections.

In this article we introduce JULIDE, a software toolkit developed to perform the 3D reconstruction, intensity normalization, volume standardization by 3D image registration and voxel-wise statistical analysis of autoradiographs of mouse brain sections. This software tool has been developed in the open-source ITK software framework and is freely available under a GPL license. The article presents the complete image processing chain from raw data acquisition to 3D statistical group analysis. Results of the group comparison in the context of a study on spatial learning are shown as an illustration of the data that can be obtained with this tool.

CoDaPack. An Excel and Visual Basic based software of compositional data analysis. Current version and discussion form upcoming versions

In the eighties, John Aitchison (1986) developed a new methodological approach for the statistical analysis of compositional data. This new methodology was implemented in Basic routines grouped under the name CODA and later NEWCODA inMatlab (Aitchison, 1997). After that, several other authors have published extensions to this methodology: Marín-Fernández and others (2000), Barceló-Vidal and others (2001), Pawlowsky-Glahn and Egozcue (2001, 2002) and Egozcue and others (2003). (...)

Comparativa de dues eines de software pel desenvolupament de classificadors d'espectroscòpia de ressonància magnètica nuclear de tumors cerebrals humans

En aquest treball s’ha fet una avaluació comparativa dels resultats que es poden obtenir amb el software SpectraClassifier 1.0 (SC) desenvolupat al nostre grup de recerca, comparant‐lo amb l’SPSS, un programa estadístic informàtic estàndard, en un problema de classificació de tumors cerebrals humans amb dades d’espectroscopia de ressonància magnètica de protó (1H‐ERM). El interès d’aquesta avaluació comparativa radica en la documentació dels resultats obtinguts amb els dos sistemes quan en la correcció dels resultats obtinguts, així com ponderar la versatilitat i usabilitat dels dos paquets de software per a una aplicació concreta d’interès al treball del GABRMN. Per a aquest treball s’han utilitzat dades provinents de dos projecte europeus multicèntrics (INTERPRET i eTumour) en els quals vam participar. Les classes tumorals utilitzades (d’un total de 217 pacients) han sigut les majoritàries des del punt de vista epidemiològic: glioblastoma multiforme, metàstasi, astrocitomes de grau II, ligodendrogliomes de grau II, oligoastrocitomes de grau II i meningiomes de baix grau. Amb les dades d’aquests pacients s’han dissenyat classificadors basats en l’anàlisi discriminant lineal (LDA), s’han avaluat amb diferents mètodes matemàtics i s’han testat amb dades independents. Els resultats han estat satisfactoris, obtenint amb l’SC resultats més robusts amb dades independents respecte la classificació realitzada per l’SPSS.

Indicadores de desempeño educativo regional: metodología y resultados para los cursos 2005-06 a 2008-09

En este trabajo se construyen algunos indicadores de desempeño para los sistemas educativos no universitarios de las regiones españolas durante los cursos 2005-06 a 2008-09 a partir de información suministrada por diversas publicaciones del Ministerio de Educación. Estos indicadores permiten ofrecer respuestas a la pregunta de qué comunidades autónomas obtienen los mejores resultados educativos de acuerdo con una serie de criterios de desempeño definidos con claridad que recogen tanto aspectos de proceso (acceso a, éxito en y duración de los distintos ciclos educativos) como de resultados medidos en términos de la adquisición de conocimientos. Con el fin de poder hacer comparaciones válidas entre sistemas educativos que se enfrentan a circunstancias muy diversas, hemos construido también indicadores de valor añadido depurando los índices brutos de desempeño de los efectos de dos variables externas que tienen un fuerte impacto sobre los mismos: la disponibilidad de recursos económicos y el nivel educativo de las familias, aproximado por el número medio de años de escolarización de la población adulta.

Elementos para guiar ações visando à orientação empreendedora em organizações de software

Neste artigo, aborda-se a orientação empreendedora (OE) em organizações de software. Tem-se por objetivo propor um conjunto consolidado de elementos que possibilitem guiar ações visando à orientação empreendedora em organizações de software. Para tanto, realizou-se pesquisa de natureza exploratória, com o uso de dados qualitativos. A coleta de dados foi feita por meio de entrevistas em profundidade com executivos de 13 organizações com o intuito de realizar um levantamento de práticas efetivas de orientação empreendedora, para compreensão desse comportamento nas organizações e confirmação dos elementos da base conceitual de orientação empreendedora adotada no estudo. Como resultado, apresenta-se um conjunto de elementos da orientação empreendedora, consolidado a partir da literatura e da prática efetiva das organizações, que constitui importante referência para guiar ações visando à orientação empreendedora em organizações de software. O estudo conclui com o enriquecimento e o detalhamento da base conceitual de orientação empreendedora, com a proposição de categorias, agregação de novos elementos decorrentes da prática organizacional e a consolidação do conjunto de elementos, oferecendo subsídios às organizações de software que desejem desenvolver esse comportamento.

The appropriateness of renal angioplasty: the ANPARIA software: a multidisciplinary expert panel approach

Percutaneous transluminal renal angioplasty (PTRA) is an invasive technique that is costly and involves the risk of complications and renal failure. The ability of PTRA to reduce the administration of antihypertensive drugs has been demonstrated. A potentially greater benefit, which nevertheless remains to be proven, is the deferral of the need for chronic dialysis. The aim of the study (ANPARIA) was to assess the appropriateness of PTRA to impact on the evolution of renal function. A standardized expert panel method was used to assess the appropriateness of medical treatment alone or medical treatment with revascularization in various clinical situations. The choice of revascularization by either PTRA or surgery was examined for each clinical situation. Analysis was based on a detailed literature review and on systematically elicited expert opinion, which were obtained during a two-round modified Delphi process. The study provides detailed responses on the appropriateness of PTRA for 1848 distinct clinical scenarios. Depending on the major clinical presentation, appropriateness of revascularization varied from 32% to 75% for individual scenarios (overal 48%). Uncertainty as to revascularization was 41% overall. When revascularization was appropriate, PTRA was favored over surgery in 94% of the scenarios, except in certain cases of aortic atheroma where sugery was the preferred choice. Kidney size [7 cm, absence of coexisting disease, acute renal failure, a high degree of stenosis (C70%), and absence of multiple arteries were identified as predictive variables of favorable appropriateness ratings. Situations such as cardiac failure with pulmonary edema or acute thrombosis of the renal artery were defined as indications for PTRA. This study identified clinical situations in which PTRA or surgery are appropriate for renal artery disease. We built a decision tree which can be used via Internet: the ANPARIA software (http://www.chu-clermontferrand.fr/anparia/). In numerous clinical situations uncertainty remains as to whether PTRA prevents deterioration of renal function.

Migración a software libre del Excmo. Ayto. de Alicante

Este proyecto aborda la migración de los sistemas de información de una administración pública de tamaño medio con las simulaciones más importantes propuestas.