Search results for: Giuseppe Fenza

Items from 1 to 20 out of 26 results

article

A time‐driven FCA‐based approach for identifying students' dropout in MOOCs

Carlo Blundo, Giuseppe Fenza, Graziano Fuccio, Vincenzo Loia, more

International Journal of Intelligent Systems > 37 > 4 > 2683 - 2705

In online learning, the dropout phenomenon is a relevant issue to address with practical solutions. Several data sets stimulate original, and resolutive data analysis approaches, demonstrating the importance of the dropout phenomenon. This study proposes a novel approach to predicting massive online open course (MOOC) students at risk of dropout stressing the need to consider the temporal dimension...

article

Social media marketing through time‐aware collaborative filtering

Carmen De Maio, Giuseppe Fenza, Mariacristina Gallo, Vincenzo Loia, more

Concurrency and Computation: Practice and Experience > 30 > 1 > n/a - n/a

Social media is assuming a crucial role in purchasing decisions, and most companies are using social media for marketing. Making sense of the unstructured information content shared by users along the time is an emerging challenge. We advise that the dynamic nature with which trends and user's interests evolve along the timeline requires the revising of well‐assessed methods to address, for instance,...

article

Distributed online Temporal Fuzzy Concept Analysis for stream processing in smart cities

Carmen De Maio, Giuseppe Fenza, Vincenzo Loia, Francesco Orciuoli

Journal of Parallel and Distributed Computing > 2017 > 110 > C > 31-41

Nowadays, one of the main challenges in the smart cities is mining high-level semantics from low-level activities. In this context, real-time data streams are continuously produced and analysed by efficient and effective algorithms, which are able to handle complexities related to big data, in order to enable the core functions of Decision Support Systems in the smart city. These algorithms should...

article

Making sense of cloud-sensor data streams via Fuzzy Cognitive Maps and Temporal Fuzzy Concept Analysis

Carmen De Maio, Giuseppe Fenza, Vincenzo Loia, Francesco Orciuoli

Neurocomputing > 2017 > 256 > C > 35-48

Understanding situations occurring within the physical world by analyzing streams of sensor data is a complex task for both human and software agents. In the area of situation awareness, the observer is typically overwhelmed by information overload and by intrinsic difficulties of making sense of spatially distributed and temporal-ordered sensor observations. Thus, it is desirable to design effective...

chapter

Building Adaptive Tutoring Model Using Artificial Neural Networks and Reinforcement Learning

Giuseppe Fenza, Francesco Orciuoli, Demetrios G. Sampson

2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT) > 460 - 462

2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)

With the emergence of new technology-supported learning environments (e.g., MOOCs, mobile edu games), efficient and effective tutoring mechanisms remain relevant beyond traditional intelligent tutoring systems. This paper provides an approach to build and adapt a tutoring model by using both artificial neural networks and reinforcement learning. The underlying idea is that tutoring rules can be, firstly,...

article

Unfolding social content evolution along time and semantics

Carmen De Maio, Giuseppe Fenza, Vincenzo Loia, Francesco Orciuoli

Future Generation Computer Systems > 2017 > 66 > C > 146-159

In the context of social media, the unstructured and dynamic nature of exchanged data and the information overload contribute to the growth of the number of research works proposing methods to improve performance of intelligent analytics services considering both time and semantics of the shared content. The presented paper focuses on the definition of a knowledge tracking framework to answer questions,...

article

Linguistic fuzzy consensus model for collaborative development of fuzzy cognitive maps: a case study in software development risks

Carmen Maio, Giuseppe Fenza, Vincenzo Loia, Francesco Orciuoli

Fuzzy Optimization and Decision Making > 2017 > 16 > 4 > 463-479

Fuzzy cognitive maps (FCMs) have been widely used in several domains for information processing, such as, data fusion, decision making. Although several methods to automatically learn FCMs are recognized from the scientific literature, the most used approach to build an FCM relies on a collaborative task involving single person or, more suitably, group of experts. Collaborative development increases...

chapter

Providing Smart Objects with Intelligent Tutoring Capabilities by Semantic Technologies

Giuseppe Fenza, Vincenzo Loia, Francesco Orciuoli

2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS) > 103 - 109

2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS)

Intelligent Tutoring Systems (ITS) are software systems for human learning and training. Promising works integrate ITS and game environments in order to use both the pedagogical soundness of traditional ITS and the engagement power of games. Such integration could be more effective embedding these systems into the Internet of Things. The main result of this work is the definition of an ontology-based...

chapter

A Context-aware Fuzzy Linguistic Consensus Model supporting Innovation Processes

Carmen De Maio, Giuseppe Fenza, Vincenzo Loia, Francesco Orciuoli, more

2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) > 1685 - 1692

2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Nowadays, many research works are moving toward the definition of models for human decision support systems within business process executions. Existing solutions, in general, do not take into account the context in which such processes run but they provide rigid models that could erroneously support decision-making activities when a different context needs to be considered. This work focuses on the...

chapter

Unifying fuzzy concept lattice construction methods

Stefania Boffa, Carmen De Maio, Antonio Di Nola, Giuseppe Fenza, more

2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) > 209 - 216

2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Formal Concept Analysis (FCA) and its fuzzy extension have been widely used to arrange data into a lattice that is an effective data structure useful to address several aims, such as: data mining, ontology learning and merging, and so on. In literature it is possible to distinguish two main approaches to address fuzzy FCA implementation: the one-sided threshold and the fuzzy closure one. This work...

chapter

Time aware knowledge extraction to analyze nanosafety cluster scientific activities

Carmen De Maio, Mimmo Parente, Giuseppe Fenza, Dario Greco

2016 IEEE Congress on Evolutionary Computation (CEC) > 1233 - 1240

2016 IEEE Congress on Evolutionary Computation (CEC)

With the rapid development ot biomedical sciences, a growing amount of papers reporting new scientific findings are published and indexed in different unstructured biomedical data sources. In order to really appreciate and effectively benefit from the availability of this amount of data there is an urgent need to support the deployment of intelligent information services, such as: temporal trends...

article

A framework for context-aware heterogeneous group decision making in business processes

Carmen De Maio, Giuseppe Fenza, Vincenzo Loia, Francesco Orciuoli, more

Knowledge-Based Systems > 2016 > 102 > C > 39-50

In Business Process Management great attention is given to Computational Intelligence for supporting process life-cycle. Several approaches have been defined to support human decision making. The main drawback is that there are no solid criteria for determining optimal decisions since context, matter of discussion, and involved actors may differ at each execution. This work focuses on the definition...

chapter

Enhancing Context Sensitivity of Geo Web Resources Discovery by Means of Fuzzy Cognitive Maps

Carmen Maio, Giuseppe Fenza, Matteo Gaeta, Vincenzo Loia, more

Lecture Notes in Computer Science > Trends in Applied Intelligent Systems > Soft Computing in Information Access Systems on the Web > 460-469

In situations where emergencies have to be handled, it’s vital to provide a vision, shared by all involved actors, on everything happens near the geographic area interested by the emergency and on the availability of resources like hospitals, ambulances, fire fighters, volunteers and so on. This work introduces an approach for the smart discovery of geo-located resources (i.e. people, services, etc...

article

Time Aware Knowledge Extraction for microblog summarization on Twitter

Carmen De Maio, Giuseppe Fenza, Vincenzo Loia, Mimmo Parente

Information Fusion > 2016 > 28 > Complete > 60-74

Microblogging services like Twitter and Facebook collect millions of user generated content every moment about trending news, occurring events, and so on. Nevertheless, it is really a nightmare to find information of interest through the huge amount of available posts that are often noisy and redundant. In the era of Big Data, social media analytics services have caught increasing attention from both...

chapter

Online query-focused twitter summarizer through fuzzy lattice

Carmen De Maio, Giuseppe Fenza, Vincenzo Loia, Mimmo Parente

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) > 1 - 8

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Microblog service has attracted much attention in big data analysis. Twitter statistics remark that the average number of tweets per day is greater than 100 million and many thousands of them happen every minute. It's an urgent challenge to face with such a large amount of collected tweets. This work defines an online query-focused Twitter summarization framework. It crawls and semantically indexes...

chapter

Biomedical data integration and ontology-driven multi-facets visualization

Carmen De Maio, Giuseppe Fenza, Vincenzo Loia, Mimmo Parente

2015 International Joint Conference on Neural Networks (IJCNN) > 1 - 8

2015 International Joint Conference on Neural Networks (IJCNN)

With the proliferation of different heterogeneous biomedical data sources and with the growing amount of their content available over the Web, there is, on one side, the need to support mashing and data integration and, on the other side, the more urgent need to relate literature and research results that are often enclosed in unstructured textual documents. Nowadays, ontologies have been used as...

chapter

A Semantic Approach for Continuous Assessment in Organizations

Matteo Gaeta, Francesco Orciuoli, Giuseppe Fenza, Giuseppina Rita Mangione, more

2012 Eighth International Conference on Signal Image Technology and Internet Based Systems > 931 - 936

2012 Eighth International Conference on Signal-Image Technology & Internet-Based Systems (SITIS 2012)

Assessing employees' competences to properly support Competence-based Management processes (e.g. Career Development, Workforce Planning, etc.) in Organizations is a complex task. Difficulties concern with both the right assessment methodology and the most effective tools. Moreover, the assessment process is time-consuming both for assessors and assessees and often it is performed at the wrong time...

chapter

A Semantic Approach for Improving Competence Assessment in Organizations

Matteo Gaeta, Francesco Orciuoli, Giuseppe Fenza, Giuseppina Rita Mangione, more

2012 IEEE 12th International Conference on Advanced Learning Technologies > 85 - 87

2012 IEEE 12th International Conference on Advanced Learning Technologies (ICALT)

article

Hierarchical web resources retrieval by exploiting Fuzzy Formal Concept Analysis

Carmen De Maio, Giuseppe Fenza, Vincenzo Loia, Sabrina Senatore

Information Processing and Management > 2012 > 48 > 3 > 399-418

In recent years, knowledge structuring is assuming important roles in several real world applications such as decision support, cooperative problem solving, e-commerce, Semantic Web and, even in planning systems. Ontologies play an important role in supporting automated processes to access information and are at the core of new strategies for the development of knowledge-based systems. Yet, developing...

chapter

Fuzzy knowledge approach to automatic disease diagnosis

Carmen De Maio, Vincenzo Loia, Giuseppe Fenza, Mariacristina Gallo, more

2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011) > 2088 - 2095

2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Applying best available evidences to clinical decision making requires medical research sharing and (re)using. Recently, computer assisted medical decision making is taking advantage of Semantic Web technologies. In particular, the power of ontologies allows to share medical research and to provide suitable support to the physician's practices. This paper describes a system, named ODINO (Ontological...

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INFONA - science communication portal

Search results for: Giuseppe Fenza

A time‐driven FCA‐based approach for identifying students' dropout in MOOCs

Social media marketing through time‐aware collaborative filtering

Distributed online Temporal Fuzzy Concept Analysis for stream processing in smart cities

Making sense of cloud-sensor data streams via Fuzzy Cognitive Maps and Temporal Fuzzy Concept Analysis

Building Adaptive Tutoring Model Using Artificial Neural Networks and Reinforcement Learning

Unfolding social content evolution along time and semantics

Linguistic fuzzy consensus model for collaborative development of fuzzy cognitive maps: a case study in software development risks

Providing Smart Objects with Intelligent Tutoring Capabilities by Semantic Technologies

A Context-aware Fuzzy Linguistic Consensus Model supporting Innovation Processes

Unifying fuzzy concept lattice construction methods

Time aware knowledge extraction to analyze nanosafety cluster scientific activities

A framework for context-aware heterogeneous group decision making in business processes

Enhancing Context Sensitivity of Geo Web Resources Discovery by Means of Fuzzy Cognitive Maps

Time Aware Knowledge Extraction for microblog summarization on Twitter

Online query-focused twitter summarizer through fuzzy lattice

Biomedical data integration and ontology-driven multi-facets visualization

A Semantic Approach for Continuous Assessment in Organizations

A Semantic Approach for Improving Competence Assessment in Organizations

Hierarchical web resources retrieval by exploiting Fuzzy Formal Concept Analysis

Fuzzy knowledge approach to automatic disease diagnosis

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