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Customer churn management becomes increasingly critical for telecommunication companies in the competitive mobile market. For retaining customers before they switch to competitors, an accurate customer churn analysis model is important to predict the potential lost customers in two or three months. Two month window is practical for telecommunication companies to design strategies to retain potential...
This report examines the issues of improving the efficiency of use of available funds for the maintenance and repair of equipment, reducing the burden on the staff. We have investigated and analyzed the process of repair and maintenance of a service company. We have defined basic models and its set of functions. This work is based on agent-based approach to simulate MRO process. Logical and conceptual...
As its complexity grows, securing a system is harder than it looks. Even with efficient security mechanisms, their configuration remains a complex task. Indeed, the current practice is the hand-made configuration of these mechanisms to protect systems about which we generally lack information. Cloud computing brings its share of new security concerns but it may also be considered as leverage to overcome...
This paper focus on building recommender system with weighted parallel hybrid method for e-commerce in Indonesia. The dataset was derived from one of the largest ecommerce company in Indonesia. The experiments used three sampling techniques, namely bootstrapping validation, timing series and systematic sampling. The best result of these experiments yields F1-measure of 9.99% which is achieved by the...
Nowadays, a business process can be a very costly investment for companies because they need to purchase additional resources to ensure the smooth running of their business process. But the problem is that the additional resources are used only for very limited time lapse. Using cloud computing can be beneficial for companies to omit the problem of using additional resources for limited time lapse...
Cloud computing is a model that offers on-demand computational resources to clients as services. In this concept, users are charged based on a pay-per-use business model. Therefore, it dramatically reduces operating costs associated with the maintenance of the local data center. Recently, database is provided as a service to fulfill clients' demand. Following this, companies can rely on a remote database...
Despite the benefits of investing in Big Data systems are largely recognised, their adoption have been slower than expected. Actually, organisations and companies cannot migrate their systems to new a technological infrastructure without a safe integration to their legacy systems and data. For these reasons, it is required to evolve Big Data technologies with mature functions for supporting portability,...
In linear programming, the transportation problem is one of the most important and successful applications of quantitative analysis for solving business problems in products distribution. Basically, the aim is to minimize the cost of shipping goods from one location to another, so that the needs of each arrival area are met and every shipping location operates within its capacity. This paper presents...
Today's Cloud based render farm usually requires end users to transfer modeling data into the Cloud for rendering and makes the end users to trust the providers of the cloud infrastructure with many security policies. However, the end users have no basis to determine if these Cloud services are trustworthy, except the assurances of the service provider. This brings up a serious security concern on...
We create a novel integrated model, that filters advanced information to higher moments evaluation into an innovative approach of the Portfolio Selection problem, supported by advanced Computational Intelligence techniques. The Portfolio Yield Reactive (PYR) model investigates hidden patterns of vast accounting data and financial statements exempting vague effects such as fraud or noise, in an optimal...
Catastrophes have caused tremendous damages in human history and triggered record high post-disaster relief from the governments. The research of catastrophic modeling can help estimate the effects of natural disasters like hurricanes, floods, surges, and earthquakes. In every Atlantic hurricane season, the state of Florida in the United States has the potential to suffer economic and human losses...
The Florida Public Hurricane Loss Model (FPHLM) is a public catastrophe model that integrates and regulates all key components, such as meteorology, engineering, and actuarial components, by following a certain workflow in the execution phase. The validation phase governed by an Automatic Data Validation (ADV) program simulates each modeled execution component with a large number of historical insurance...
This paper provides a novel self-scheduling model for price-taker generation companies (GENCOs) participating in a day-ahead energy market. Also, this paper models the effect of uncertainty of generating units' forced outage considered by stochastic optimization approach in the self-scheduling. This approach allows the producer to maximize its profit while controlling the risk of profit variability...
Events that deal with Group Decision Making are continuously studied in order to provide a suitable representation of different opinions, with the aim of reaching the consensus of all experts involved in decision processes. In this paper, the authors, focusing on employees' evaluations inside Italian companies, propose an extension of a fuzzy consensus model dealing with a feedback process to guide...
In this paper, we study the public elementary course "software engineering" which is based on the StarC platform. StarC is a teaching service platform developed by Central China Normal University. It is one part of national education cloud platform. This paper reports on the relationships between students' patterns of engagement and their course performance. The results indicate that students'...
Traditional enterprises should change their marketing strategy, business model, organizational structure and etc. to cope with the new market in the Internet age. Duo to the above requirement, the conception of Internet Thinking (IT) is created in China. Although many scholars have done a lot of research on this field about the company operating at the context of Internet and a few Chinese researchers...
In Switzerland small and medium-sized enterprises represent more than 99% of all businesses. Therefore, prediction of their micro- and macroeconomic business development is of importance. In this paper, we propose a novel approach for predicting business volume using company characteristics and characteristics of the county the company operates in. We investigate which data sources can be combined...
Cloud computing provides software, platform, and infrastructure as a service that helps organizations to perform several resource intensive tasks. The services offered by a cloud service provider are limited by provider-specific options in terms of the pre-specified configurations. Moreover, it is sometimes expensive to pay a fixed amount of money without any format of negotiation or price-matching...
Information and Communications Technologies (ICT) favor better scenarios for teaching and learning processes. Personal Learning Environment (PLE) improves the educational process. Under the computational and ubiquitous learning approach, a ubiquitous PLE model (uPLEMO), an example of a PLE design for teachers and its application in courses are presented here. Results of such model were very positive...
A great challenge faced by many organizations refers to translating their large computing infrastructure into an effective tool to support their productive chain. In this paper, we introduce a modular single point of access middleware approach focused on integrating distributed and heterogeneous computing resources, coined as Dédalo. Since its design, which follows a software product line (SPL) paradigm,...
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