2017 28th International Workshop on Database and Expert Systems Applications (DEXA)最新文献_第2页

Unfairness Correction in P2P Grids Based on Residue Number System of a Special Form 基于特殊形式剩余数系统的P2P网格不公平性校正

2017 28th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2017-08-01 DOI: 10.1109/DEXA.2017.46

M. Babenko, N. Chervyakov, Andrei Tchernykh, N. Kucherov, M. N. Shabalina, I. Vashchenko, G. Radchenko, Daniil Murga

引用次数: 15

A Cloud System for Machine Learning Exploiting a Parallel Array DBMS 利用并行阵列数据库管理系统的机器学习云系统

2017 28th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2017-08-01 DOI: 10.1109/DEXA.2017.21

Yiqun Zhang, C. Ordonez, S. Johnsson

{"title":"A Cloud System for Machine Learning Exploiting a Parallel Array DBMS","authors":"Yiqun Zhang, C. Ordonez, S. Johnsson","doi":"10.1109/DEXA.2017.21","DOIUrl":"https://doi.org/10.1109/DEXA.2017.21","url":null,"abstract":"Computing machine learning models in the cloud remains a central problem in big data analytics. In this work, we introduce a cloud analytic system exploiting a parallel array DBMS based on a classical shared-nothing architecture. Our approach combines in-DBMS data summarization with mathematical processing in an external program. We study how to summarize a data set in parallel assuming a large number of processing nodes and how to further accelerate it with GPUs. In contrast to most big data analytic systems, we do not use Java, HDFS, MapReduce or Spark: our system is programmed in C++ and C on top of a traditional Unix le system. In our system, models are ef ciently computed using a suite of innovative parallel matrix operators, which compute comprehensive statistical summaries of a large input data set (matrix) in one pass, leaving the remaining mathematically complex computations, with matrices that t in RAM, to R. In order to be competitive with the Hadoop ecosystem (i.e. HDFS and Spark RDDs) we also introduce a parallel load operator for large matrices and an automated, yet exible, cluster con guration in the cloud. Experiments compare our system with Spark, showing orders of magnitude time improvement. A GPU with many cores widens the gap further. In summary, our system is a competitive solution.","PeriodicalId":127009,"journal":{"name":"2017 28th International Workshop on Database and Expert Systems Applications (DEXA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126618320","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

Global and Local Feature Learning for Ego-Network Analysis 自我网络分析的全局和局部特征学习

2017 28th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2017-08-01 DOI: 10.1109/DEXA.2017.36

Fatemeh Salehi Rizi, M. Granitzer, Konstantin Ziegler

引用次数: 5

Improvement of Sentiment Analysis Based on Clustering of Word2Vec Features 基于Word2Vec特征聚类的情感分析改进

2017 28th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2017-08-01 DOI: 10.1109/DEXA.2017.41

Eissa Alshari, A. Azman, S. Doraisamy, N. Mustapha, Mustafa Alkeshr

引用次数: 33

Towards Mitigating Uncertainty of Data Security Breaches and Collusion in Cloud Computing 减轻云计算中数据安全漏洞和合谋的不确定性

2017 28th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2017-08-01 DOI: 10.1109/DEXA.2017.44

A. Tchernykh, M. Babenko, N. Chervyakov, J. M. Cortés-Mendoza, N. Kucherov, V. Miranda-López, M. Deryabin, I. Dvoryaninova, G. Radchenko

{"title":"Towards Mitigating Uncertainty of Data Security Breaches and Collusion in Cloud Computing","authors":"A. Tchernykh, M. Babenko, N. Chervyakov, J. M. Cortés-Mendoza, N. Kucherov, V. Miranda-López, M. Deryabin, I. Dvoryaninova, G. Radchenko","doi":"10.1109/DEXA.2017.44","DOIUrl":"https://doi.org/10.1109/DEXA.2017.44","url":null,"abstract":"Cloud computing has become a part of people's lives. However, there are many unresolved problems with security of this technology. According to the assessment of international experts in the field of security, there are risks in the appearance of cloud collusion in uncertain conditions. To mitigate this type of uncertainty, and minimize data redundancy of encryption together with harms caused by cloud collusion, modified threshold Asmuth-Bloom and weighted Mignotte secret sharing schemes are used. We show that if the villains do know the secret parts, and/or do not know the secret key, they cannot recuperate the secret. If the attackers do not know the required number of secret parts but know the secret key, the probability that they obtain the secret depends the size of the machine word in bits that is less than 1/2 ((l-1)). We demonstrate that the proposed scheme ensures security under several types of attacks. We propose four approaches to select weights for secret sharing schemes to optimize the system behavior based on data access speed: pessimistic, balanced, and optimistic, and on speed per price ratio. We use the approximate method to improve the detection, localization and error correction accuracy under cloud parameters uncertainty.","PeriodicalId":127009,"journal":{"name":"2017 28th International Workshop on Database and Expert Systems Applications (DEXA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132165937","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: 17

A Multi-Recommenders System for Service Provisioning in Multi-Cloud Environment 多云环境下服务发放的多推荐系统

2017 28th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2017-08-01 DOI: 10.1109/DEXA.2017.45

Haithem Mezni

{"title":"A Multi-Recommenders System for Service Provisioning in Multi-Cloud Environment","authors":"Haithem Mezni","doi":"10.1109/DEXA.2017.45","DOIUrl":"https://doi.org/10.1109/DEXA.2017.45","url":null,"abstract":"Cloud service recommendation has become an important technique that helps users decide whether a service satisfies their requirements or not. However, the few existing recommendation systems are not suitable for real world environments and only deal with services hosted in a single cloud, which is simply unrealistic. In addition, a same service may be hosted on more than one cloud and, hence, may have different user ratings that depend on specific conditions of their cloud availability zones. This uncertainty regarding the real quality of the cloud service and users' satisfaction levels raises a question about how to trust the different users' ratings in order to recommend the adequate cloud service. Unlike existing solutions, the goal of this work is to propose a cooperative recommender system that aims to resolve two major issues: recommendation of cloud services in multiple clouds and recommendation under uncertainty of users' ratings. The proposed system will take advantage from a set of powerful techniques and paradigms in order to offer an overlay of cloud recommender entities that cooperate to deliver top-rated services to the user.","PeriodicalId":127009,"journal":{"name":"2017 28th International Workshop on Database and Expert Systems Applications (DEXA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127993137","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

MuMs: Energy-Aware VM Selection Scheme for Cloud Data Center MuMs:云数据中心节能虚拟机选择方案

2017 28th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2017-08-01 DOI: 10.1109/DEXA.2017.43

Rahul Yadav, Weizhe Zhang, Huangning Chen, T. Guo

引用次数: 49

Interactive Chord Visualization for Metaproteomics 元蛋白质组学的交互式和弦可视化

2017 28th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2017-08-01 DOI: 10.1109/DEXA.2017.32

Roman Zoun, K. Schallert, David Broneske, R. Heyer, D. Benndorf, G. Saake

引用次数: 8

Evaluation of Contextualization and Diversification Approaches in Aggregated Search 聚合搜索中语境化和多样化方法的评价

2017 28th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2017-08-01 DOI: 10.1109/DEXA.2017.37

Hermann Ziak, Roman Kern

{"title":"Evaluation of Contextualization and Diversification Approaches in Aggregated Search","authors":"Hermann Ziak, Roman Kern","doi":"10.1109/DEXA.2017.37","DOIUrl":"https://doi.org/10.1109/DEXA.2017.37","url":null,"abstract":"The combination of different knowledge bases in the field of information retrieval is called federated or aggregated search. It has several benefits over single source retrieval but poses some challenges as well. This work focuses on the challenge of result aggregation; especially in a setting where the final result list should include some level of diversity and serendipity. Both concepts have been shown to have an impact on how user perceive an information retrieval system. In particular, we want to assess if conventional procedures for result list aggregation can be utilised to introduce diversity and serendipity. Furthermore, we study whether blocking or interleaving for result aggregation yields better results. In a cross vertical aggregated search the so-called verticals could be news, multimedia content or text. Block ranking is one approach to combine such heterogeneous result. It relies on the idea that these verticals are combined into a single result list as blocks of several adjacent items. An alternative approach for this is interleaving. Here the verticals are blended into one result list on an item by item basis, i.e. adjacent items in the result list may come from different verticals. To generate the diverse and serendipitous results we relied on a query reformulation technique which we showed to be beneficial to produce diversified results in previous work. To conduct this evaluation we created a dedicated dataset. This dataset served as a basis for three different evaluation settings on a crowdsourcing platform, with over 300 participants. Our results show that query based diversification can be adapted to generate serendipitous results in a similar manner. Further, we discovered that both methods, interleaving and block ranking, appear to be beneficial to introduce diversity and serendipity. Though it seems that queries either benefit from one approach, or the other one, but not from both.","PeriodicalId":127009,"journal":{"name":"2017 28th International Workshop on Database and Expert Systems Applications (DEXA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115795907","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: 0

An Initial Study on Radicalization Risk Factors: Towards an Assessment Software Tool 激进化风险因素初探:一种评估软件工具

2017 28th International Workshop on Database and Expert Systems Applications (DEXA) Pub Date : 2017-08-01 DOI: 10.1109/DEXA.2017.19

Irene Gilpérez-López, J. Torregrosa, M. Barhamgi, David Camacho

{"title":"An Initial Study on Radicalization Risk Factors: Towards an Assessment Software Tool","authors":"Irene Gilpérez-López, J. Torregrosa, M. Barhamgi, David Camacho","doi":"10.1109/DEXA.2017.19","DOIUrl":"https://doi.org/10.1109/DEXA.2017.19","url":null,"abstract":"Radicalization has increasingly become a transnational risk as cyber-technologies and social networks have steadily improved in the past years. DAESH has utilized the benefits of these new technologies to radicalize and recruit home-grown fighters, inviting them to join their ranks in the Islamic State territories, or inciting them to attack in their Western countries. However, this process of radicalization is not a simple task. Jihadist recruiters take advantage of certain vulnerable individuals who are better targets for radicalization. Academics have subsequently attempted to identify and examine these characteristics, which can be useful in identifying people who may be vulnerable to jihadist rhetoric. Violence risk assessment is a method which has been used by psychologists, Law Enforcement Agencies, prosecutors and other relevant actors, in order to assess the risk of an individual to commit violent acts. As terrorist or political violence is not comparable with other types of violence, specialized tools are needed to calculate the risk of radicalization or attack threat. This paper tries to gather the risk factors associated with violent extremism and jihadist radicalization from the literature and the risk assessment tools already available or under development. This paper presents some details related to the RiskTrack software tool, which is currently under development by behavioral researchers and computer engineers. The RiskTrack software tool aims to automatically assess an individual's risk of becoming radicalized. This is done by analyzing social media profiles and testing for specific factors that have been found to be associated with radicalization.","PeriodicalId":127009,"journal":{"name":"2017 28th International Workshop on Database and Expert Systems Applications (DEXA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127898428","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: 10