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Knowledge absorption capacity, known as the ability of a firm to identify, ussimilate, transform and exploit external knowledge, plays an important role in explaining and fostering innovation in companies. In particular, this capacity is crucial for small and medium-sized companies relying on collaborative networks to develop their innovation projects. The problem is how such companies can absorb...
In this paper we address the challenge of applying process mining to discover models of human behaviour from sensor data. This challenge is caused by a gap between sensor data and the event logs that are used as input for process mining techniques, so we provide a transformation approach to bridge this gap. As a result, besides the automatic discovery of process models, the transformed sensor data...
Service-Oriented Architecture (SOA) is an architectural style for applications that are built by composing loosely coupled, interoperable services. Service identification is one of the earliest and most significant activities for successful implementation of SOA in the enterprise. Service identification aims at deriving high-quality services that satisfy the desired service design principles. However,...
Personalized Information Retrieval (PIR) exploits the user's data in order to refine the retrieval, like for instance when users with different backgrounds may express different information needs with the same query. However, this additional source of information is not supported by the classical Information Retrieval (IR) process. In order to overcome this limit, we propose to generate the user profile...
With the rise of Big Data, a data-driven approach to business is transforming enterprises. Companies today are thinking about and using data in a myriad new ways to drive business value; from reducing risk and fraud in the financial sector to bringing new pharmaceuticals to market more quickly at a higher level of efficacy. Retailers can track purchase patterns and consumer preferences more accurately...
Software-based motivation refers to the use of technology to enhance the engagement and efficiency of people in performing tasks and following a certain behaviour. Instances of such paradigm include gamification, persuasive technology and entertainment computing. Despite its potential, an ad-hoc introduction of software-based motivation to a business environment may lead to detrimental effects such...
This study presents the Architecture Specific Model (ASM) defined by the MoWebA approach to improve the development of web applications for different architectures. MoWebA is a model-driven approach to web applications development. The article presents a general overview of MoWebA, including the methodological aspects related to its modeling and transformation processes, the process of defining the...
Overlapping Clustering is an important technique in machine learning which aims to organize data into a set of non-disjoint groups rather than the disjoint one which is the case of conventional clustering methods. Several machine learning applications require that data object be assigned to one or several groups resulting in non-disjoint partitioning of data such as document clustering where each...
A Schema-less NoSQL system refers to solutions where users do not declare a database schema and, in fact, its management is moved to the application code. This paper presents a study that allows us to evaluate, to some extent, the data structuring impact. The decision of how to structure data in semi-structured databases has an enormous impact on data size, query performance and readability of the...
A Data Warehouse (DW) is widely used as a consistent and integrated data repository in Business Intelligence systems. Under today's dynamic and competitive business context, warehoused data alone no longer provide enough information for decision-making processes. Business analyses should be enhanced by including Linked Open Data (LOD) to offer multiple perspectives to decision-makers. This paper provides...
Nowadays, high volumes of data are generated and published at a very high velocity by real-time systems, such as social networks, e-commerce, weather stations and sensors, producing heterogeneous data streams. To take advantage of linked data and offer interoperable solutions, semantic Web technologies have been used. To analyze these huge volumes of data, different stream mining algorithms exist...
This paper presents a new method for automatically extracting smartphone users' contextual behaviors from the digital traces collected during their interactions with their devices. Our goal is in particular to understand the impact of users' context (e.g., location, time, environment, etc.) on the applications they run on their smartphones. We propose a methodology to analyze digital traces and to...
Consumer choices are enormously influential in the success of the companies and organizations behind the highly competitive global service and product offerings of today. Consumer choice relates to preference, i.e. a set of assumptions a person creates around a service or a product such as convenience, utility or aesthetics. Furthermore, consumer preferences allow ranking of different assumptions...
Even though coming from different communities, Software Engineering (SE) and Human-Computer Interaction (HCI) engineering have similar goals: the definition of methods, techniques and standards to support the development of software systems, and, in particular for HCI, of interactive systems. Currently, several SE approaches are largely applied in practice thank to the widespread use of capability...
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