993 resultados para Database, business logic


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The advent of distributed and heterogeneous systems has laid the foundation for the birth of new architectural paradigms, in which many separated and autonomous entities collaborate and interact to the aim of achieving complex strategic goals, impossible to be accomplished on their own. A non exhaustive list of systems targeted by such paradigms includes Business Process Management, Clinical Guidelines and Careflow Protocols, Service-Oriented and Multi-Agent Systems. It is largely recognized that engineering these systems requires novel modeling techniques. In particular, many authors are claiming that an open, declarative perspective is needed to complement the closed, procedural nature of the state of the art specification languages. For example, the ConDec language has been recently proposed to target the declarative and open specification of Business Processes, overcoming the over-specification and over-constraining issues of classical procedural approaches. On the one hand, the success of such novel modeling languages strongly depends on their usability by non-IT savvy: they must provide an appealing, intuitive graphical front-end. On the other hand, they must be prone to verification, in order to guarantee the trustworthiness and reliability of the developed model, as well as to ensure that the actual executions of the system effectively comply with it. In this dissertation, we claim that Computational Logic is a suitable framework for dealing with the specification, verification, execution, monitoring and analysis of these systems. We propose to adopt an extended version of the ConDec language for specifying interaction models with a declarative, open flavor. We show how all the (extended) ConDec constructs can be automatically translated to the CLIMB Computational Logic-based language, and illustrate how its corresponding reasoning techniques can be successfully exploited to provide support and verification capabilities along the whole life cycle of the targeted systems.

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Relazione tecnica e funzionale, con rimandi teorici disciplinari, riguardo la realizzazione di un sistema informatico su piattaforma Microsoft per l'organizzazione e la fruizione delle informazioni di Ciclo attivo in un'azienda di servizi di grandi dimensioni.

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L’ultimo decennio ha visto un radicale cambiamento del mercato informatico, con la nascita di un numero sempre maggiore di applicazioni rivolte all’interazione tra utenti. In particolar modo, l’avvento dei social network ha incrementato notevolmente le possibilità di creare e condividere contenuti sul web, generando volumi di dati sempre maggiori, nell’ordine di petabyte e superiori. La gestione di tali quantità di dati ha portato alla nascita di soluzioni non relazionali appositamente progettate, dette NoSQL. Lo scopo di questo documento è quello di illustrare come i sistemi NoSQL, nello specifico caso di MongoDB, cerchino di sopperire alle difficoltà d’utilizzo dei database relazionali in un contesto largamente distribuito. Effettuata l'analisi delle principali funzionalità messe a disposizione da MongoDB, si illustreranno le caratteristiche di un prototipo di applicazione appositamente progettato che sfrutti una capacità peculiare di MongoDB quale la ricerca full-text. In ultima analisi si fornirà uno studio delle prestazioni di tale soluzione in un ambiente basato su cluster, evidenziandone il guadagno prestazionale.

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Progetto di tesi svolto in azienda. Studio dei principali concetti di Business Intelligence (BI) e degli strumenti per la BI. Confronto tra i principali vendor nel mercato dell'analisi dei dati e della Business Intelligence. Studio e reigegnerizzazione di un modello per l'analisi economico finanziaria dei fornitori/clienti di un'azienda. Realizzazione di un prototipo del modello utilizzando un nuovo strumento per la reportistica: Tableau. Il prototipo si basa su dati economici finanziari estratti da banche dati online e forniti dall'azienda cliente. Implementazione finale del database e di un flusso automatico per la riclassificazione dei dati di bilancio.

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Increasing demand for marketing accountability requires an efficient allocation of marketing expenditures. Managers who know the elasticity of their marketing instruments can allocate their budgets optimally. Meta-analyses offer a basis for deriving benchmark elasticities for advertising. Although they provide a variety of valuable insights, a major shortcoming of prior meta-analyses is that they report only generalized results as the disaggregated raw data are not made available. This problem is highly relevant because coding of empirical studies, at least to a certain extent, involves subjective judgment. For this reason, meta-studies would be more valuable if researchers and practitioners had access to disaggregated data allowing them to conduct further analyses of individual, e.g., product-level-specific, interests. We are the first to address this gap by providing (1) an advertising elasticity database (AED) and (2) empirical generalizations about advertising elasticities and their determinants. Our findings indicate that the average current-period advertising elasticity is 0.09, which is substantially smaller than the value 0f 0.12 that was recently reported by Sethuraman, Tellis, and Briesch (2011). Furthermore, our meta-analysis reveals a wide range of significant determinants of advertising elasticity. For example, we find that advertising elasticities are higher (i) for hedonic and experience goods than for other goods; (ii) for new than for established goods; (iii) when advertising is measured in gross rating points (GRP) instead of absolute terms; and (iv) when the lagged dependent or lagged advertising variable is omitted.

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This study examines the question of whether the journal ranking VHB-JOURQUAL 2 can be considered as a good measure for the construct “scientific quality”. Various rankings in business research provide the database for the analysis. The correlations between theses rankings are used to assess the validity of VHB-JOURQUAL 2 along various validity criteria. The correlations with rankings that measure the same construct based on different methods show that VHB-JOURQUAL 2 has acceptable, but moderate convergent validity. The validity varies considerably across disciplines, showing that the heterogeneity of business administration is not sufficiently represented by this overall ranking. The variability is related to the variation in members per discipline represented by the German Association for Business Research. Furthermore, the measure shows a weak correlation with acceptance rates as an indicator of nomological validity in some disciplines.

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A stress-detection system is proposed based on physiological signals. Concretely, galvanic skin response (GSR) and heart rate (HR) are proposed to provide information on the state of mind of an individual, due to their nonintrusiveness and noninvasiveness. Furthermore, specific psychological experiments were designed to induce properly stress on individuals in order to acquire a database for training, validating, and testing the proposed system. Such system is based on fuzzy logic, and it described the behavior of an individual under stressing stimuli in terms of HR and GSR. The stress-detection accuracy obtained is 99.5% by acquiring HR and GSR during a period of 10 s, and what is more, rates over 90% of success are achieved by decreasing that acquisition period to 3-5 s. Finally, this paper comes up with a proposal that an accurate stress detection only requires two physiological signals, namely, HR and GSR, and the fact that the proposed stress-detection system is suitable for real-time applications.

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Concurrency in Logic Programming has received much attention in the past. One problem with many proposals, when applied to Prolog, is that they involve large modifications to the standard implementations, and/or the communication and synchronization facilities provided do not fit as naturally within the language model as we feel is possible. In this paper we propose a new mechanism for implementing synchronization and communication for concurrency, based on atomic accesses to designated facts in the (shared) datábase. We argüe that this model is comparatively easy to implement and harmonizes better than previous proposals within the Prolog control model and standard set of built-ins. We show how in the proposed model it is easy to express classical concurrency algorithms and to subsume other mechanisms such as Linda, variable-based communication, or classical parallelism-oriented primitives. We also report on an implementation of the model and provide performance and resource consumption data.

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We propose a computational methodology -"B-LOG"-, which offers the potential for an effective implementation of Logic Programming in a parallel computer. We also propose a weighting scheme to guide the search process through the graph and we apply the concepts of parallel "branch and bound" algorithms in order to perform a "best-first" search using an information theoretic bound. The concept of "session" is used to speed up the search process in a succession of similar queries. Within a session, we strongly modify the bounds in a local database, while bounds kept in a global database are weakly modified to provide a better initial condition for other sessions. We also propose an implementation scheme based on a database machine using "semantic paging", and the "B-LOG processor" based on a scoreboard driven controller.

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While designing systems and products requires a deep understanding of influences that achieve desirable performance, the need for an efficient and systematic decision-making approach drives the need for optimization strategies. This paper provides the motivation for this topic as well as a description of applications in Computing Center of Madrid city Council. Optimization applications can be found in almost all areas of engineering. Typical problems in process, working with a database, arise in query design, entity model design and concurrent processes. This paper proposes a solution to optimize a night process dealing with millions of records with an overall performance of about eight times in computation time.

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European integration is a project of great economic importance for the 500 million consumers and 21 million companies in Europe. With the economic borders between Member States removed, Europeanisation becomes inevitable for companies. The paper proposes a framework to analyse the benefits and disadvantages for business that come with the process of European integration, structured according to the logic of the four fundamental freedoms of movement within the Internal Market (freedom of movement of goods, services, capital and people) complemented by the section on technology and innovation, and the general EU regulatory environment. Whereas the business decisions need to be taken on a case-by-case basis, taking into consideration firm’s own capabilities and resources as well as industry specificities, several recommendations for companies willing to Europeanise are made, based on an analysis of the regulatory macro-environment of the EU. Above all, any company willing to be successful in the EU has to become a learning organisation, responsive to the advancements of the macro-environment. The ability to anticipate the regulatory developments and to adjust one’s own business and corporate strategy accordingly is the key to achieving sustainable competitive advantage in the European Union.