This book contains the proceedings of the 17th International Conference on Enterprise Information Systems (ICEIS 2015), which was sponsored by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC), held in cooperation with the Association for the Advancement of Artificial Intelligence (AAAI), IEICE Special Interest Group on Software Interprise Modelling (SWIM), ACM SIGMIS - ACM Special Interest Group on Management Information Systems, ACM SIGAI - ACM Special Interest Group on Artificial Intelligence and in collaboration with the Informatics Research Center (IRC). This year ICEIS was held in Barcelona, Spain from 27 - 30 April, 2015.
The purpose of the 17th International Conference on Enterprise Information Systems is to bring together researchers, engineers and practitioners from the areas of â Databases and Information Systems Integrationâ , â Artificial Intelligence and Decision Support Systemsâ , â Information Systems Analysis and Specificationâ , â Software Agents and Internet Computingâ , â Human-Computer Interactionâ and â Enterprise Architectureâ , interested in the advances and business applications of information systems.
ICEIS 2015 received 327 paper submissions from 52 countries in all continents, which demonstrates the success and global dimension of this conference. From these, 73 papers were published and presented as full papers (30min oral presentation), 83 papers reflecting work-in-progress were accepted for short presentation and another 42 papers were presented in a poster session. These numbers, leading to a full-paper acceptance ratio of 22% and an oral paper acceptance ratio of 48%, show the intention of preserving a high quality forum for the next editions of this conference.
The high number and high quality of the received papers imposed difficult choices in the selection process. To evaluate each submission, a double blind paper review was performed by the Program Committee, whose members are highly qualified researchers in ICEIS topic areas.
All presented papers will be available at the SCITEPRESS Digital Library and will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus.
Additionally, a short list of presented papers will be selected to be expanded into a forthcoming book of ICEIS 2015 Selected Papers to be published by Springer in the LNBIP Series.
The technical program of the conference included a panel and 4 invited talks delivered by internationally distinguished speakers, namely: George Giaglis (Athens University of Economics and Business, Greece), Witold Staniszkis (Rodan Development, Poland), Martin Mocker (MIT, USA and Reutlingen University, Germany) and Francesco Bonchi (Yahoo Labs, Spain). Their participation positively contributes to reinforce the overall quality of the Conference and to provide a deeper understanding of the fields addressed by the conference.
Moreover, ICEIS 2015 had a special session on Security in Information Systems, a Doctoral Consortium on Enterprise Information Systems and 3 tutorials. We are thankful to the chairs for their dedication and hard work in organizing these events.
We sincerely thank all the authors for their submissions and participation in ICEIS 2015. Furthermore, we would like to thank all the members of the program committee and reviewers, who helped us with their expertise, dedication and time. We would also like to thank the invited speakers for their excellent contribution in sharing their knowledge and vision and the workshop/special session chairs whose collaboration with ICEIS 2015 was much appreciated. Finally, we gratefully acknowledge the professional support of the ICEIS 2015 team for all organizational processes.
We hope that all colleagues find this a fruitful and inspiring conference. We hope to contribute to the development of the Enterprise Information Systems community and look forward to having additional research results presented at the next ICEIS, to be held in Rome, Italy.
Analysing Business-IT Alignment in the IT Outsourcing Context
Information technology plays an increasingly important role in developing business strategies. Consequently, it is vital for organizations to ensure an alignment between IT and business strategies and goals. Usually business-IT alignment (BIA) is ...
Applying Ensemble-based Online Learning Techniques on Crime Forecasting
Traditional prediction algorithms assume that the underlying concept is stationary, i.e., no changes are expected
to happen during the deployment of an algorithm that would render it obsolete. Although, for many
real world scenarios changes in the data ...
A Centroid-based Approach for Hierarchical Classification
Classification is a common task in Machine Learning and Data Mining. Some classification problems need to
take into account a hierarchical taxonomy establishing an order between involved classes and are called hierarchical
classification problems. The ...
Techniques for Effective and Efficient Fire Detection from Social Media Images
- Marcos V. N. Bedo,
- Gustavo Blanco,
- Willian D. Oliveira,
- Mirela T. Cazzolato,
- Alceu F. Costa,
- Jose F. Rodrigues Jr.,
- Agma J. M. Traina,
- Caetano Traina Jr.
Crowdsourcing and social media could provide valuable information to support decision making in crisis management, such as in accidents, explosions and fires. However, much of the data from social media are images, which are uploaded in a rate that ...
Tracking and Tracing of Global Supply Chain Network
Supply chain and logistics network tracking and tracing is an important element of customer service in the transportation industry. Existing technologies are mostly suitable for single channel supply chain and are not suitable for multi-channel supply ...
TIDAQL
Nowadays, time interval data is ubiquitous. The requirement of analyzing such data using known techniques
like on-line analytical processing arises more and more frequently. Nevertheless, the usage of approved multidimensional
models and established ...
Decision Guidance Analytics Language (DGAL)
Decision guidance systems are a class of decision support systems that are geared toward producing actionable recommendations, typically based on formal analytical models and techniques. This paper proposes the Decision Guidance Analytics Language (DGAL)...
Knowledge Management Framework using Wiki-based Front-end Modules
Nowadays organizations have been pushed to speed up the rate of industrial transformation to high value
products and services. The capability to agilely respond to new market demands became a strategic pillar
for innovation, and knowledge management ...
Using Petri Nets to Enable the Simulation of Application Integration Solutions Conceptual Models
Enterprise application integration concerns with the use of methodologies and tools to design and implement
integration solutions to integrate a set of heterogeneous enterprise applications. Amongst the integration
technologies to design and implement ...
ROBE
Scalable and efficient algorithms are needed to compute shortest paths between any pair of vertices in large
social graphs. In this work, we propose a novel ROBE scheme to estimate the shortest distances. ROBE is
based on a hub serving as the skeleton ...
Conceptual Framework of Anything Relationship Management
An increasing interconnectedness of people, physical objects and virtual objects through ICT (information and communication technology) has been observable for years. This is reflected in various fields such as business contacts (e.g. LinkedIn and Xing),...
GOTA
With the tremendous growth of unstructured data in the Business Intelligence, there is a need for incorporating textual data into data warehouses, to provide an appropriate multidimensional analysis (OLAP) and develop new approaches that take into ...
PM-DB: Partition-based Multi-instance Database System for Multicore Platforms
The continued evolution of modern hardware has brought several new challenges to database management
systems (DBMSs). Multicore CPUs are now mainstream, while the future lies in massively parallel computing
performed on many-core processors. However, ...
A Hybrid Memory Data Cube Approach for High Dimension Relations
Approaches based on inverted indexes, such as Frag-Cubing, are considered efficient in terms of runtime
and main memory usage for high dimension cube computation and query. These approaches do not compute
all aggregations a priori. They index ...
Access Prediction for Knowledge Workers in Enterprise Data Repositories
The data which knowledge workers need to conduct their work is stored across an increasing number of
repositories and grows annually at a significant rate. It is therefore unreasonable to expect that knowledge
workers can efficiently search and identify ...
ERP in Healthcare
Attempts to improve healthcare services have increased worldwide and the role of information technology
(IT) is increasing to find solutions for various issues facing the healthcare sector. The purpose of this study
was to find out how enterprise ...
Implementing Multidimensional Data Warehouses into NoSQL
Not only SQL (NoSQL) databases are becoming increasingly popular and have some interesting strengths
such as scalability and flexibility. In this paper, we investigate on the use of NoSQL systems for
implementing OLAP (On-Line Analytical Processing) ...
What if Multiusers Wish to Reconcile Their Data?
Reconciliation is the process of providing a consistent view of the data imported from different sources. Despite
some efforts reported in the literature for providing data reconciliation solutions with asynchronous
collaboration, the challenge of ...
Collaborative Teaching of ERP Systems in International Context
ERP systems are characterized by a high degree of complexity what is challenging to replicate in the
classroom environment. However, there is a strong industry demand for students having ERP training
during their studies at universities. This paper ...
On the Discovery of Explainable and Accurate Behavioral Models for Complex Lowly-structured Business Processes
Process discovery (i.e. the automated induction of a behavioral process model from execution logs) is an important tool for business process analysts/managers, who can exploit the extracted knowledge in key process improvement and (re-)design tasks. ...
Risk Management in Project of Information Systems Integration During Merger of Companies
As of today, reorganization of companies is one of the challenges that require close attention of administrators. Integration of businesses cannot be accomplished without integration of information systems. Project management is a tool needed to ...
Streaming Networks Sampling using top-K Networks
The combination of top-K network representation of the data stream with community detection is a novel
approach to streaming networks sampling. Keeping an always up-to-date sample of the full network, the
advantage of this method, compared to previous, ...
A Framework for Analysing Dynamic Communities in Large-scale Social Networks
Telecommunications companies must process large-scale social networks that reveal the communication patterns
among their customers. These networks are dynamic in nature as new customers appear, old customers
leave, and the interaction among customers ...
On-premise ERP Organizational Post-implementation Practices
This paper presents a multiple case study, which was aimed at identifying similarities and differences on how
companies of different sizes operate after ERP system go live (post implementation phase). The study has
found several differences and ...
Function-based Case Classification for Improving Business Process Mining
In the last years business process mining has become a wide research area. However, existing process mining
techniques encounter challenges while dealing with event logs stemming from highly flexible environments
because such logs contain a large amount ...
Context-sensitive Indexes in RDBMS for Performance Optimization of SQL Queries in Multi-tenant/Multi-application Environments
With the recent shift towards cloud-based applications and Software as a Service (SaaS) environments, relational databases support multi-tenant and multi-application workloads that query the same set of data stored in common tables, using SQL queries. ...
Graph-based ETL Processes for Warehousing Statistical Open Data
Warehousing is a promising mean to cross and analyse Statistical Open Data (SOD). But extracting structures,
integrating and defining multidimensional schema from several scattered and heterogeneous tables in the SOD
are major problems challenging the ...
Genetic Mapping of Diseases through Big Data Techniques
- Julio Cesar Santos dos Anjos,
- Bruno Reckziegel Filho,
- Junior F. Barros,
- Raffael B. Schemmer,
- Claudio Geyer,
- Ursula Matte
The development of sophisticated sequencing machines and DNA techniques has enabled advances to be made
in the medical field of genetics research. However, due to the large amount of data that sequencers produce,
new methods and programs are required to ...
An IFC4-based Middleware for Data Interoperability in Energy Building Operation
This paper addresses the existing gap in data interoperability among heterogeneous resources for energy service
systems of building automation. In this sense, the middleware is the core of the communication between
heterogeneous data samples and the ...
Dimensionality Reduction for Supervised Learning in Link Prediction Problems
- Antonio Pecli,
- Bruno Giovanini,
- Carla C. Pacheco,
- Carlos Moreira,
- Fernando Ferreira,
- Frederico Tosta,
- Júlio Tesolin,
- Marcio Vinicius Dias,
- Silas Filho,
- Maria Claudia Cavalcanti,
- Ronaldo Goldschmidt
In recent years, a considerable amount of attention has been devoted to research on complex networks and their properties. Collaborative environments, social networks and recommender systems are popular examples of complex networks that emerged recently ...
Index Terms
- Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 1