{"title":"Enabling Cooperation in an Inter-cloud Environment: An Agent-Based Approach","authors":"S. Bendoukha, D. Moldt, T. Wagner","doi":"10.1109/DEXA.2013.27","DOIUrl":"https://doi.org/10.1109/DEXA.2013.27","url":null,"abstract":"Cooperation always contains some control flow. This control flow can be treated by workflow models in order to coordinate actions of a group of distributed participants. While centralized intra-organizational workflow management systems are nowadays very well understood and implemented via tools, the idea of inter-organizational workflow management systems (IOWfMS) still needs conceptual and technical support. This paper discusses the use of agents and multi-agents as underlying concepts of such systems on the basis of agent- and organization-oriented Petri nets. Powerful modeling concepts need appropriate powerful constructs in modeling languages and their tools. As an overall solution we provide Inter-Cloud Workflow Petri Nets (IC-WPN) and sketch their technical embedding. They combine central conceptual ideas of systems-within-systems models, WfMS, as well as agent and organization theories with technical solutions from agent and Cloud technology.","PeriodicalId":428515,"journal":{"name":"2013 24th International Workshop on Database and Expert Systems Applications","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126024000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reducing Electricity Consumption Peaks with Parametrised Dynamic Pricing Strategies Given Maximal Unit Prices","authors":"N. Höning, H. L. Poutré","doi":"10.1109/DEXA.2013.46","DOIUrl":"https://doi.org/10.1109/DEXA.2013.46","url":null,"abstract":"Demand response is a crucial mechanism for flattening of peak loads. For its implementation, we not only require consumers who react to price changes, but also intelligent strategies to select prices. We propose a parametrised meta-strategy for dynamic pricing and identify suitable strategies for given scenarios through offline optimisation using a population model. We also model an important and novel constraint: a price cap (a maximal unit price) for consumer protection. We show in computational simulations that the maximal unit price influences the peak reduction potential of dynamic pricing. We compare our dynamic pricing approach with a constant pricing approach and show that our approach, used by a profit-optimising seller, is both peak-reducing and equally profitable.","PeriodicalId":428515,"journal":{"name":"2013 24th International Workshop on Database and Expert Systems Applications","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126086690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Motalign: A Multiple Sequence Alignment Algorithm Based on a New Distance and a New Score Function","authors":"A. Mokaddem, M. Elloumi","doi":"10.1109/DEXA.2013.43","DOIUrl":"https://doi.org/10.1109/DEXA.2013.43","url":null,"abstract":"In this paper, we present our new progressive alignment algorithm, called Motalign, for Multiple Sequence Alignment (MSA). Our algorithm adopts a new profile based distance [1] to compare two biological sequences and a new score function, called gPSP, to align profiles. We benchmarked our algorithm on different benchmarks. We compared the results obtained by our algorithm to those obtained by other ones, like CLUSTALW2, MUSCLE and MAFFT, by using the Column Score (CS) [2] and the Sum of Pairs Score (SPS) [2]. We obtained interesting results.","PeriodicalId":428515,"journal":{"name":"2013 24th International Workshop on Database and Expert Systems Applications","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133500342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Clinical Data Mining: Problems, Pitfalls and Solutions","authors":"Emanuel Weitschek, G. Felici, P. Bertolazzi","doi":"10.1109/DEXA.2013.42","DOIUrl":"https://doi.org/10.1109/DEXA.2013.42","url":null,"abstract":"The wide spread of electronic data collection in medical environments leads to an exponential growth of clinical data extracted from heterogeneous patient samples. Collecting, managing, integrating and analyzing these data are essential activities in order to shed light on diseases and on related therapies. The major issues in clinical data analysis are the incompleteness (missing values), the different adopted measure scales, the integration of the disparate collection procedures. Therefore, the main challenges are in managing clinical data, in discovering patients interactions, and in integrating the different data sources. The final goal is to extract relevant information from huge amounts of clinical data. Therefore, the analysis of clinical data requires new effective and efficient methods to extract compact and relevant information: the interdisciplinary field of data mining, which guides the automated knowledge discovery process, is a natural way to approach the complex task of clinical data analysis. Data mining deals with structured and unstructured data, that are, respectively, data for which we can give a model or not. For example, in clinical contexts it is important to highlight those trials (variables) that are frequent in a particular disease diagnosis. The objective of this work is to study and apply methods to manage and retrieve relevant information in clinical data sets. A practical analysis from real patient data collected from several dementia clinical departments in Italy is reported as example of clinical data mining. The particular field of logic classification, where a data model is computed in form of propositional logic formulas, is investigated for clinical data mining and compared to other techniques, showing that it is a successful approach to compute a compact data model for clinical knowledge discovery.","PeriodicalId":428515,"journal":{"name":"2013 24th International Workshop on Database and Expert Systems Applications","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127290372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cecilia Camporeale, Antonio De Nicola, V. Rosato, M. Villani, U. Ciorba
{"title":"Semantic Modeling of the Emissions Trading System","authors":"Cecilia Camporeale, Antonio De Nicola, V. Rosato, M. Villani, U. Ciorba","doi":"10.1109/DEXA.2013.35","DOIUrl":"https://doi.org/10.1109/DEXA.2013.35","url":null,"abstract":"Fight against global warming is a tough challenge requiring synergic efforts from governments, industry and scientific communities. Facing these challenges by means of sectorial or local approaches is a loosing strategy. A holistic approach is required to provide more flexibility and prompt responses to unpredicted side effects on environment, economy and society due to low carbon society policies. Furthermore coping with such complexity requires the adoption of decision support systems providing policy makers with possible scenarios and countermeasures. Precondition to them is to reach a common understanding on such domains as a formal specification. Ontologies are considered widely accepted means to share knowledge. They enable advanced semantic services to manage knowledge in a more effective and smart way. In this paper we address the European Emissions Trading System and we present the EREON ontology to represent knowledge on such domain. In particular we focus on contextual knowledge modeled as concepts and rules. Finally, we present the data acquisition and the data analysis services as applications of such ontology.","PeriodicalId":428515,"journal":{"name":"2013 24th International Workshop on Database and Expert Systems Applications","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128416566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Extending Diseasome by Integrating the Knowledge from Distributed Databases","authors":"Eshref Januzaj","doi":"10.1109/DEXA.2013.38","DOIUrl":"https://doi.org/10.1109/DEXA.2013.38","url":null,"abstract":"Analysing large amounts of biomedical data is the new challenge in the post-genomic era. One of the goals in gene research is the computation of the similarity between diseases based on the genes they are related to. Identifying biomedical relationships between diseases can lead to finding of new drugs and medicaments. The human disease network (Diseasome) illustrates the association between diseases based on genes these diseases share. A disadvantage of this network is the data itself, as Diseasome is based only on a single database (OMIM). There exist, however, a large number of other biomedical databases, and integrating them, in order to be able to profit from all their data, is an impossible task. Thus, we propose a different approach, namely, to focus only on the integration of the knowledge of all these databases. In our approach, we extend Diseasome by integrating the knowledge from other distributed databases, without needing to integrate the data itself. To compute the similarity between diseases we apply data mining techniques.","PeriodicalId":428515,"journal":{"name":"2013 24th International Workshop on Database and Expert Systems Applications","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115405583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Utilizing Spatio-temporal Data Index for Location Privacy Protection","authors":"T. K. Dang, V. N. Nguyen, D. Vu, J. Küng","doi":"10.1109/DEXA.2013.7","DOIUrl":"https://doi.org/10.1109/DEXA.2013.7","url":null,"abstract":"Situation management systems are developing quickly nowadays. Among their vast applications, disaster management, homeland security and traffic management are of the most important ones. In domains above, the locations of people inside the observed areas are great sources of information. While we can put the accuracy of the location information first in emergency domains, such as disaster management, we need to care about users' locations privacy in civil domains, such as traffic management. Thus, privacy-preserving techniques have gained special attention from researchers, such as obfuscation-based or k-anonymity. While existing solutions have integrated obfuscation-based into the indexed Spatio-temporal data to gain performance boost, the lack of reciprocity in these solutions grants the attackers ability to infer the exact users location by using some tricks, e.g. Query Sampling Attacks. Meanwhile, an important property of Hilbert Cloaking algorithm is reciprocity. This property ensures that any user in the k-Anonymizing Spatial Region has the same blurred region, thus the disadvantage of the above solutions is overcome. In this paper, we propose a new solution that combines Hilbert Cloaking algorithm and obfuscation-based technique to increase the privacy protection. Our solution is also integrated into Spatio-temporal data index structure so that it can be used for commercial Database Management Systems.","PeriodicalId":428515,"journal":{"name":"2013 24th International Workshop on Database and Expert Systems Applications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125049549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Emergency Control Cockpit","authors":"K. Delic, J. A. Riley","doi":"10.1109/DEXA.2013.10","DOIUrl":"https://doi.org/10.1109/DEXA.2013.10","url":null,"abstract":"We live in a world of very large-scale systems which can be described as global, very fast, and often saturated with uncertainty. Talking about global communication and energy supply systems, interconnected financial markets, global business operation platforms or contemporary large social networks, we usually deal with normal operating regimes (~99% of time) while systems might switch into unstable regimes (~1% of time). Very rarely those systems end in emergency state which might degenerate into major catastrophe (huge human, material, environment losses). In this paper we describe the architecture and design details of an emergency control cockpit system, enabling better management of various system crises.","PeriodicalId":428515,"journal":{"name":"2013 24th International Workshop on Database and Expert Systems Applications","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122443675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jorge Martínez Gil, B. Freudenthaler, T. Natschläger
{"title":"Modeling User Behavior through Electricity Consumption Patterns","authors":"Jorge Martínez Gil, B. Freudenthaler, T. Natschläger","doi":"10.1109/DEXA.2013.44","DOIUrl":"https://doi.org/10.1109/DEXA.2013.44","url":null,"abstract":"Reducing energy consumption in buildings of all kinds is a key challenge for researchers since it can help to notably reduce the waste of energy and its associated costs. However, when dealing with residential environments, there is a major problem, people comfort should not be altered, so it is necessary to look for smart methods which take into account this circumstance. Traditional techniques have not considered the study of human behavior when providing solutions in this field, but new human-centric paradigms are emerging gradually. We present our research on user behavior concerning electricity consumption in office buildings and residential environments. Our goal consists of inspiring practitioners in this field for developing new human-aware solutions.","PeriodicalId":428515,"journal":{"name":"2013 24th International Workshop on Database and Expert Systems Applications","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131475154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Claudia Galarda Varassin, A. Plastino, H. C. G. Leitão, B. Zadrozny
{"title":"Undersampling Strategy Based on Clustering to Improve the Performance of Splice Site Classification in Human Genes","authors":"Claudia Galarda Varassin, A. Plastino, H. C. G. Leitão, B. Zadrozny","doi":"10.1109/DEXA.2013.40","DOIUrl":"https://doi.org/10.1109/DEXA.2013.40","url":null,"abstract":"The recognition of splice sites plays an important role in the annotation of the eukaryotic genes structure. The detection of such sites is a highly imbalanced classification task because the number of negatives examples found in the DNA sequences is much higher than the number of positive ones. One possible strategy to deal with this particularity is to use training sets more balanced than the original dataset. It is necessary then to choose which part of the majority examples will be taken to compose those sets. Aiming at increasing the learning ability in this problem, we propose a new under sampling procedure. In this strategy, the negative examples used to train the classifier are selected based on clusters obtained from this majority class. The experimental results show that, for the splice site problem, it is possible to increase classification performance when compared to simpler under sampling techniques.","PeriodicalId":428515,"journal":{"name":"2013 24th International Workshop on Database and Expert Systems Applications","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131015851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}