Abstract The present document presents/displays a model of Neuronal Networks Artificial RNA for the prognosis of the rate of nominal change in Colombia, including flow orders and the differential of the interest rates like variables of entrance to the model. Additionally methodological conclusions from the traditional treatment of the series of time were extracted. ... The present document presents/displays a model of Neuronal Networks Artificial RNA for the prognosis of the rate of nominal change in Colombia, including flow orders and the differential of the interest rates like variables of entrance to the model. Additionally methodological conclusions from the traditional treatment of the series of time were extracted. Read More Read Less

Abstract Conventionally, the Web Service [1], respecting the Client-Server paradigm, consists of a software system or a platform running as a server somewhere in the Internet allowing its customers to benefit from it through the use of a client. Cloud computing [2] (which has gained a lot of popularity in recent years), allows to have this software system or platform deployed and running in... Conventionally, the Web Service [1], respecting the Client-Server paradigm, consists of a software system or a platform running as a server somewhere in the Internet allowing its customers to benefit from it through the use of a client. Cloud computing [2] (which has gained a lot of popularity in recent years), allows to have this software system or platform deployed and running in a flexible and robust environment where traffic demand is automatically handled and the faulttolerance and high-availability are provided by the cloud tools and means. However, currently existing private and public cloud models comprise cloud platforms installed on IT facilities located in certain geographical areas. Thus, the final customer location is not considered and the service traffic is not balanced geographically. This is a serious drawback of the existing technology as it creates an overhead of the network (Internet) traffic for the service when the customers use it from different geographical areas. Moreover this increases service delays as the packets in the request-response communication paradigm cross long Internet cross-countries connections and thus delayed. The new concept proposed in this paper is feasible due to the EU attempt to instantiate a number of the public clouds interconnected into a cloud federation over Europe, where the deploying of services in a geographically distributed cloud environment will enable to serve customers in a more efficient and faster way. The location of the customer connected through the network (Internet) will define to which service instance in the federated cloud, its requests will be sent to. This drastically reduces service traffic, and so the costs, over Internet for international traveling customers, makes the service reaction faster as it balances the service traffic over mode nodes and makes significantly more robust overall service solution because of the service geographical redundancy. The recommender service described in this paper is deployed over few nodes of the federated clouds build and interconnected as result of the EU funded PPP XIFI project[3]. Read More Read Less

Abstract Sentiment analysis has attained much attention in the recent years due to its significance in various fields as it captures and analyzes such attitudes and opinions in an automated and structured fashion and offers a powerful technology to a number of problem domains. This research is based on the use of a novel unsupervised approach for sentiment analysis of twitter data... Sentiment analysis has attained much attention in the recent years due to its significance in various fields as it captures and analyzes such attitudes and opinions in an automated and structured fashion and offers a powerful technology to a number of problem domains. This research is based on the use of a novel unsupervised approach for sentiment analysis of twitter data using a rule based scoring engine. The focus of this approach is on POS tagging in which the parts-of-speech are ranked according to their sentiment describing influence. A novel term is devised for POS which is named as “sentiment influencers” and are ranked according to their influence on detecting sentiment. Results have shown that appropriate ranking of POS provides good results than its normal usage. Read More Read Less

Abstract The use of Web technology has increased by a great extent in the recent times. Millions of users spend time surfing net to obtain information or for recreational activities. Along with satiating their own purpose, the users leave behind a detailed trail of all the web pages accessed and the frequency with which they are accessed. This information is of... The use of Web technology has increased by a great extent in the recent times. Millions of users spend time surfing net to obtain information or for recreational activities. Along with satiating their own purpose, the users leave behind a detailed trail of all the web pages accessed and the frequency with which they are accessed. This information is of paramount use to several commercial domains like e-commerce websites, social networking sites, entrepreneur franchises, etc. Web usage mining satisfies the basic purpose of amalgamating information from a user’s web history and finding patterns in the usage characteristics. Web usage mining is the extension to the traditional data mining and also forms the base of our paper. Our paper emphasizes on predicting a user’s future request. The attributes of web usage mining help to determine a pattern depending on a user’s navigational footprints and actions. This pattern is then analyzed, giving us tools to predict requests that the user is likely to make in the future. Read More Read Less