2013 24th International Workshop on Database and Expert Systems Applications最新文献_第2页

Enabling Cooperation in an Inter-cloud Environment: An Agent-Based Approach 在云间环境中实现协作:基于代理的方法

2013 24th International Workshop on Database and Expert Systems Applications Pub Date : 2013-08-26 DOI: 10.1109/DEXA.2013.27

S. Bendoukha, D. Moldt, T. Wagner

引用次数: 7

Reducing Electricity Consumption Peaks with Parametrised Dynamic Pricing Strategies Given Maximal Unit Prices 在最大电价条件下，参数化动态定价策略降低用电峰值

2013 24th International Workshop on Database and Expert Systems Applications Pub Date : 2013-08-26 DOI: 10.1109/DEXA.2013.46

N. Höning, H. L. Poutré

引用次数: 3

Motalign: A Multiple Sequence Alignment Algorithm Based on a New Distance and a New Score Function 基于新距离和新分数函数的多序列比对算法

2013 24th International Workshop on Database and Expert Systems Applications Pub Date : 2013-08-26 DOI: 10.1109/DEXA.2013.43

A. Mokaddem, M. Elloumi

引用次数: 7

Clinical Data Mining: Problems, Pitfalls and Solutions 临床数据挖掘:问题、陷阱和解决方案

2013 24th International Workshop on Database and Expert Systems Applications Pub Date : 2013-08-26 DOI: 10.1109/DEXA.2013.42

Emanuel Weitschek, G. Felici, P. Bertolazzi

{"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}

引用次数: 25

Semantic Modeling of the Emissions Trading System 碳排放交易系统的语义建模

2013 24th International Workshop on Database and Expert Systems Applications Pub Date : 2013-08-26 DOI: 10.1109/DEXA.2013.35

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}

引用次数: 1

Extending Diseasome by Integrating the Knowledge from Distributed Databases 集成分布式数据库知识扩展疾病

2013 24th International Workshop on Database and Expert Systems Applications Pub Date : 2013-08-26 DOI: 10.1109/DEXA.2013.38

Eshref Januzaj

引用次数: 2

Utilizing Spatio-temporal Data Index for Location Privacy Protection 利用时空数据索引进行位置隐私保护

2013 24th International Workshop on Database and Expert Systems Applications Pub Date : 2013-08-26 DOI: 10.1109/DEXA.2013.7

T. K. Dang, V. N. Nguyen, D. Vu, J. Küng

{"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}

引用次数: 3

Emergency Control Cockpit 紧急控制座舱

2013 24th International Workshop on Database and Expert Systems Applications Pub Date : 2013-08-26 DOI: 10.1109/DEXA.2013.10

K. Delic, J. A. Riley

引用次数: 0

Modeling User Behavior through Electricity Consumption Patterns 通过用电模式对用户行为进行建模

2013 24th International Workshop on Database and Expert Systems Applications Pub Date : 2013-08-26 DOI: 10.1109/DEXA.2013.44

Jorge Martínez Gil, B. Freudenthaler, T. Natschläger

引用次数: 10

Undersampling Strategy Based on Clustering to Improve the Performance of Splice Site Classification in Human Genes 基于聚类的欠采样策略提高人类基因剪接位点分类性能

2013 24th International Workshop on Database and Expert Systems Applications Pub Date : 2013-08-26 DOI: 10.1109/DEXA.2013.40

Claudia Galarda Varassin, A. Plastino, H. C. G. Leitão, B. Zadrozny

引用次数: 6