19th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2017)

August 28 - 31, 2017

Lyon, France

Call For Papers

The best papers from DAWAK '17 will be expanded and revised for possible inclusion in:

• Journal of Concurrency and Computation: Practice and Experience, Wiley
• Distributed and Parallel Databases, Springer
• Transactions on Large-scale Data- and Knowledge Centered Systems - TLDKS

Submissions presenting current research work on both theoretical and practical aspects of Big Data, Knowledge Discovery are encouraged. Submissions on industrial applications and experiences are also highly encouraged.

Topics of Interest

Track 1 - Research:

Big Data Query Languages and Optimization

Big Data Analytics and User Interfaces

Big Data Indexing and Storing

Big Data Analytics: algorithms, techniques, and systems

Big Data Quality and Provenance Control

Social Networking Data Graph Management

Graph mining, analysis, and querying.

Visualization Analytics for Big Data

Big Data Searching and Discovery

Big Data Management for Mobile Applications

Scalability and Parallelization using Mapreduce and beyond

Analytics for the Cloud Infrastructure

Analytics for Unstructured, Semi-structured, and Structured Data

Semantic for Big Data Intelligence

Analytics for Temporal, Spatial, Spatio-temporal, and Mobile Data

Analytics for Data Streams and Sensor Data

Analytics for Big Multimedia Data

Analytics for Social Networks

Real-time/Right-time and Event-based Analytics

Privacy and Security in Cloud Intelligence

Reliability and Fault tolerance in Cloud Intelligence

Big Data Application Design and Deployment

Data Mining Techniques: Clustering, Classification, Association Rules, Decision Trees, etc.

Data and Knowledge Representation

Knowledge Discovery Framework and Process, Including Pre- and Post-processing

Integration of Data Warehousing, OLAP and Data Mining

Integrating Constraints and Knowledge in the KDD Process

Exploring Data Analysis, Inference of Causes, Prediction

Evaluating, Consolidating, and Explaining Discovered Knowledge

Statistical Techniques for Generation a Robust, Consistent Data Model

Interactive Data Exploration/Visualization and Discovery

Languages and Interfaces for Data Mining

Cost Models for advanced applications and programming paradigms

Reproduction of Big Data Experiments

Big Data Data Mining Trends, Opportunities and Risks

Big Data Mining from Low-quality Information Sources

Track 2 - Industry and Application:

Big Data Analytics and Knowledge Discovery Tools

Big Data Deployment Industrial Experiences

Big Data Applications in Scientific, Government, Healthcare, Bioinformatics, Smart City, etc.

Big Data Analytics Applications in E-commerce and Web Technology for Finance, Healthcare, Marketing, Telecommunications, etc.

Big Data for Intrusion/Fraud Detection

Big Data and Business Process Intelligence (BPI)

Big Data in Enterprise Management Models and Practices

Important Dates

Submission deadline:  March 20, 2017.

Notification Due: May 15, 2017.

Final Version Due:June 05, 2017.

User Name : Anika
Posted 25-11-2016 on 10:06:33 AEDT

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