• The 5th International Conference on Data Management Technologies and Ap

    From calendarsites@insticc.org@21:1/5 to All on Wed Sep 23 08:49:45 2015
    Conference name:
    The 5th International Conference on Data Management Technologies and Applications- DATA 2016

    Venue:
    Lisbon, Portugal

    Event date:
    24 - 26 July, 2016

    Regular Papers
    Paper Submission: February 16, 2016
    Authors Notification: May 5, 2016
    Camera Ready and Registration: May 19, 2016

    Position Papers
    Paper Submission: April 21, 2016
    Authors Notification: May 27, 2016
    Camera Ready and Registration: June 9, 2016

    Workshops
    Workshop Proposal: February 26, 2016

    Doctoral Consortium
    Paper Submission: May 20, 2016
    Authors Notification: May 30, 2016
    Camera Ready and Registration: June 9, 2016

    Special Sessions
    Special Session Proposal: March 8, 2016

    Tutorials, Demos and Panel Proposals
    March 31, 2016

    Scope:
    The 5th International Conference on Data Management Technologies and Applications (DATA) aims 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.
    DATA 2016 will be held in conjunction with ICSOFT 2016.

    CONFERENCE AREAS:
    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. DATA MANAGEMENT AND QUALITY
    3. ONTOLOGIES AND THE SEMANTIC WEB
    4. DATABASES AND DATA SECURITY

    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
    * Data Science

    AREA 2: 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 3: 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
    *
    AREA 4: 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

    KEYNOTE LECTURES
    Panos Vassiliadis, University of Ioannina, Greece

    CONFERENCE CHAIR
    Markus Helfert, Dublin City University, Ireland

    PROGRAM CHAIR
    Chiara Francalanci, Politecnico di Milano, Italy

    PROGRAM COMMITTEE
    http://www.data.org/ProgramCommittee.aspx

    DATA Secretariat
    Address: Av. D. Manuel I, 27A, 2 esq.
    2910-595 Setubal - Portugal
    Tel.: +351 265 520 185
    Fax: +351 265 520 186
    e-mail: data.secretariat@insticc.org
    url: http://www.dataconference.org/

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