IL RUOLO DEI BIG DATA NELLE STRATEGIE DI APPRENDIMENTO

Il lavoro richiama i concetti fondamentali sui Big Data, evidenziando, in particolare, le applicazioni delle tecniche di analisi e delle tecnologie a supporto nell’ambito dell’elearning. Gli enormi volumi di dati disponibili al giorno d’oggi stanno diventando protagonisti dell’e-learning, ad esempio per identificare in modo proattivo le esigenze di apprendimento degli allievi. Lo studio confronta i Big Data con il Data Mining, le tecniche di e-learning e di learninganalytics. Sono accennati i principi di etica e di privacy da osservare e sono, infine, riportati i principali vantaggi derivanti dall’adozione dei Big Data nel settore educativo

Critical comparison of the main methods for the technical efficiency

The Technical Efficiency is a basic tool to determine the factors that slow down the production. TE aims at evaluating and comparing the operating performance of a set of production units, such as Companies, Offices, Hospi- tals, Banks, Schools, Transport Systems, etc. This paper, after an overview of the literature regarding the methodologies for measuring the Technical Ef- ficiency, compares critically the two main approaches, the Data Envelopment Analysis (DEA) and the Stochastic Frontier Analysis (SFA). These method- ologies are also discussed within an original application that targets to study the efficiency of European Countries with respect to the Gross Domestic Product (GDP)

PRINCIPAL COMPONENT ANALYSIS TO RANKING TECHNICAL EFFICIENCIES THROUGH STOCHASTIC FRONTIER ANALYSIS AND DEA

The Stochastic Frontier Analysis permits evaluating the Technical Efficiency scores for one output variable to obtain the corresponding Technical Efficiency of n Decision-Making Units (DMU). The objective of this work is a comparison between a Stochastic Frontier Analysis, with same input and different output variables, and the Data Envelopment Analysis. You get k Technical Efficiency TE(yi) which are unified by a Principal Component Analysis and compared with the results of a DEA on the same data

An iterative approach for lexicon characterization in juridical context

In the juridical context, knowledge management applications have a central role. In order to improve the effectiveness of document management procedures, techniques for automatic comprehension of textual content are required. In this work, a methodology for semi-automatic derivation of knowledge from document collections is proposed. In order to extract relevant information from document text, a process integrating both statistical and lexical approaches is applied. Moreover, we propose a system for the evaluation of the extracted peculiar lexicon quality. The system is used for the processing of heterogeneous documents corpus issued by Italy’s juridical domain

Nowcasting economic time series: real versus financial common factors

In this paper we want to assess the impact of real and financial variables in nowcasting smoothed GDP. We implement the generalized dynamic factor model, on which Eurocoin indicator is based. We can assess that, during the structural break in 2008, the impact of real variables in estimating smoothed GDP becomes particularly relevant in relation to that concerning financial data as money supply, spreads

The real time ability of financial and real variables in nowcasting

In this paper we develop an approach to choose the variables useful for the nowcasting (short-term forecasting) of growth rate, that is based on the real time ability of financial and real variables to reproduce reference time series. We assess, for Germany and Italy, the impact of real and financial variables in estimating smoothed gross domestic product (GDP) from 2003 to 2012. In synthesis, the innovation of our work is the one to focus both on a limited number of series both on a large dataset of economic variables, by implementing the dynamic factor model

Financial and real latent factors in forecasting economic time series

In this paper we want to assess the impact of real and financial variables in estimating smoothed GDP. We implement the generalized dynamic factor model, on which Eurocoin indicator is based. We assess that the impact of real and financial variables in estimating smoothed GDP, during the structural break in 2008, shows that the role of real data as industrial production, becomes particularly relevant in relation to that concerning financial data as money supply and spread. © 2012 Università del Salento

Financial and Real Latent factors in Forecasting Economic Time Series

In this paper we want to assess the impact of real and financial variables in estimating smoothed GDP. We implement the generalized dynamic factor model, on which Eurocoin indicator is based. We can assess that the impact of real and financial variables in estimating smoothed GDP, during the structural break in 2008, shows that the role of real data as industrial production, foreign trade, employment indexes, becomes particularly relevant in relation to that concerning financial data as money supply, spreads

Structural statistics on enterprises with foreign production

The transition from business accounting to national accounts is carried out in this paper. The institutional units having a predominant economic interest in Italy are identified in particular for the sectors linked to Construction, Civil engineering works and Trade activities. A multivariate analysis of the economic variables (production, employment, labor costs, intermediate consumptions) allows  to measure effective performance, both economic and financial, for global enterprises.Fiscal and statistical data with a profiling of these enterprises make possible to select a sub-set of medium and large sized units potentially interested in the phenomenon of foreign branch offices.

Structural statistics on enterprises with foreign production

The transition from business accounting to national accounts is carried out in this paper. The institutional units having a predominant economic interest in Italy are identified in particular for the sectors linked to Construction, Civil engineering works and Trade activities. A multivariate analysis of the economic variables (production, employment, labor costs, intermediate consumptions) allows  to measure effective performance, both economic and financial, for global enterprises.Fiscal and statistical data with a profiling of these enterprises make possible to select a sub-set of medium and large sized units potentially interested in the phenomenon of foreign branch offices.