会议名称(中文): 第三届数据管理技术及应用国际会议 会议名称(英文): The 3rd International Conference on Data Management Technologies and Applications (DATA) 所属学科: 计算机科学理论,计算机软件,计算机应用技术,信息安全 开始日期: 2014-08-29 结束日期: 2014-08-31 所在国家: 奥地利 所在城市: 奥地利 具体地点: Vienna, Austria 主办单位: The Institute for Systems and Technologies of Information, Control and Communication (INSTICC)
[ 重要日期 ] 摘要截稿日期: 2014-03-18
[ 会务组联系方式 ] 联系电话: +351 265 520 185 传真: +44 203 014 8813 E-MAIL: data.secretariat@insticc.org 会议网站: http://www.dataconference.org/ 会议背景介绍: The purpose of the 3rd International Conference on Data Management Technologies and Applications (DATA) is to bring together researchers, engineers and practitioners interested on databases, data warehousing, data mining, data management, data security and other aspects of information systems and technology involving advanced applications of data.
Papers describing advanced methodologies, prototypes, systems, tools and techniques and general survey papers indicating future directions are also encouraged. Papers describing original work are invited in any of the areas listed. Accepted papers, presented at the conference by one of the authors, will be published in the conference proceedings. Acceptance will be based on quality, relevance and originality. Both full research papers and work-in-progress are welcome. There will be both oral and poster sessions.
Special sessions, dedicated to case-studies and commercial presentations, as well as demos or tutorials dedicated to technical/scientific topics are also envisaged: companies interested in presenting their products/methodologies or researchers interested in holding a tutorial, workshop or special session are invited to contact the conference secretariat or visit the conference website. 征文范围及要求: Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:
1. BUSINESS ANALYTICS 2. DATABASES AND DATA SECURITY 3. DATA MANAGEMENT AND QUALITY 4. ONTOLOGIES AND THE SEMANTIC WEB
AREA 1: BUSINESS ANALYTICS
Datamining Decision Support Systems Data Analytics Change Detection Dimensional Modelling OLAP and MDA Models Semi-structured and Unstructured Data Text Analytics Data Warehouse Management Web Analytics Statistics Exploratory Data Analysis Predictive Modelling AREA 2: DATABASES AND DATA SECURITY
Mobile Databases Object-Oriented Database Systems Data Integrity Large Scale Databases Query Processing and Optimization NoSQL Databases Open Source Databases WWW and Databases Workflow Management and Databases Database Architecture and Performance Data Privacy and Security Authentication and Intrusion Detection Database Encryption Steganography AREA 3: DATA MANAGEMENT AND QUALITY
Data and Information Quality Digital Rights Management Big Data Modeling and Managing Large Data Systems Organizational Concepts and Best Practices Architectural Concepts Mobile Data Management Management of Sensor Data Business Cases and Cost/Benefit Analysis Data Curation Data Management for Analytics Data Virtualization Data Modeling and Visualization Data Structures and Data Management Algorithms Security and Legal Issue in Mobile Applications/apps Open Data City Data Management Transparency in Research Data AREA 4: ONTOLOGIES AND THE SEMANTIC WEB
Knowledge Management Ontology Engineering Digital libraries Information retrieval Information Integration Interoperability Computational Semantics Markup Languages Corporate Semantic Web Enterprise Ontology Knowledge Influence and Influencers Web Ontology Languages Descriptive Logic Semantics and Social Media Web Personalization and Recommendation
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