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EDDY 2018 - Adaptive Data Management meets Self-Adaptive Systems (ins) S TF...

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R. Diogo Macedo 220

220 Rua Diogo Macedo

4400-107 Vila Nova de Gaia

Portugal

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Special Session Adaptive Data Management meets Self-Adaptive Systems - EDDY 2018


26 - 28 July, 2018 - Porto, Portugal
Within the 7th International Conference on Data Science, Technology and Applications - DATA 2018


SCOPE

"Value of Data in a Data-Driven Economy" is the theme of the 7th International Conference on Data Science, Technology and Applications (DATA) which purpose is to bring together researchers, engineers and practitioners interested on databases, big data, 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.

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. SOFT COMPUTING IN DATA SCIENCE
3. DATA MANAGEMENT AND QUALITY
4. BIG DATA
5. DATABASES AND DATA SECURITY


AREA 1: BUSINESS ANALYTICS


  • Business Intelligence
  • Statistics Exploratory Data Analysis
  • Text Analytics
  • Web Analytics
  • Change Detection
  • Data Analytics
  • Data Warehouse Management
  • Decision Support Systems
  • Dimensional Modelling
  • Information Integration
  • Information Retrieval
  • Semi-structured and Unstructured Data

AREA 2: SOFT COMPUTING IN DATA SCIENCE


  • Data Fusion
  • Pattern Recognition
  • Predictive Modelling
  • Support Vector Machines
  • Data Science
  • Datamining
  • Deep Learning
  • Evolutionary Computing and Optimization
  • Feature Selection
  • Fuzzy Computing
  • Hybrid Methods
  • Neural Network Applications

AREA 3: DATA MANAGEMENT AND QUALITY


  • Architectural Concepts
  • Mobile Data Management
  • Modeling and Managing Large Data Systems
  • Open Data
  • Organizational Concepts and Best Practices
  • Smart Cities and Urban Data Analytics
  • Transparency in Research Data
  • City Data Management
  • Data and Information Quality
  • Data Management for Analytics
  • Data Modeling and Visualization
  • Data Structures and Data Management Algorithms
  • Data Virtualization
  • Industry 4.0
  • Management of Sensor Data

AREA 4: BIG DATA


  • Big Data Applications
  • New Computational Models for Big Data
  • New Data Standards
  • Social Data Analytics
  • Social Web Search and Mining
  • Big Data as a Service
  • Big Data Infrastructure
  • Big Data Search and Mining
  • Big Data Security, Privacy and Trust
  • Cloud/Grid/Stream Computing for Big Data
  • Data and Information Quality for Big Data
  • Deep Learning and Big Data
  • Information Visualization

AREA 5: DATABASES AND DATA SECURITY


  • Data Integrity
  • Workflow Management and Databases
  • WWW and Databases
  • Data Privacy and Security
  • Database Architecture and Performance
  • Large Scale Databases
  • Mobile Databases
  • NoSQL Databases
  • Object-Oriented Database Systems
  • Open Source Databases
  • Query Processing and Optimization



KEYNOTE SPEAKERS

João Gama, LIAAD - INESC TEC, University of Porto, Portugal
Carsten Binnig, TU Darmstadt, Germany
Tova Milo, Tel Aviv University, Israel


Please contact the event manager Marilyn (marilyn.b.turner(at)nyev`entslist.com ) below for:
- Multiple participant discounts
- Price quotations or visa invitation letters
- Payment by alternate channels (PayPal, check, Western Union, wire transfers etc)
- Event sponsorships

NO REFUNDS ALLOWED ON REGISTRATIONS
Service fees included in this listing.
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Date and Time

Location

R. Diogo Macedo 220

220 Rua Diogo Macedo

4400-107 Vila Nova de Gaia

Portugal

View Map

Refund Policy

No Refunds

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