Contributed papers are solicited describing original works in Data Mining and Big Data Analytics. Topics and technical areas of interest include but are not limited to the following:
Data Mining | Big Data Analytics | Algorithms and Systems for Big Data Search |
---|---|---|
Data mining foundations | Foundational Models for Big Data | Distributed, and Peer-to-peer Search |
Grand challenges of data mining | Algorithms and Programming Techniques for Big Data Processing | Machine learning based on Big Data |
Parallel and distributed data mining algorithms | Big Data Analytics and Metrics | Visualization Analytics for Big Data |
Mining on data streams | Representation Formats for Multimedia Big Data | Big Data Economics |
Graph mining | Cloud Computing Techniques for Big Data | Real-life Case Studies of Value Creation through Big Data Analytics |
Spatial data mining | Big Data as a Service | Big Data for Business Model Innovation |
Text, video, multimedia data mining | Big Data Open Platforms | Big Data Toolkits |
Web mining | Big Data in Mobile and Pervasive Computing | Big Data in Business Performance Management |
High performance data mining algorithms | Big Data Persistence and Preservation | SME-centric Big Data Analytics |
Interactive data mining | Big Data Quality and Provenance Control | Big Data for Vertical Industries (including Government, Healthcare, and Environment) |
Data-mining-ready structures and pre-processing | Management Issues of Social Network Big Data | Scientific Applications of Big Data |
Data mining visualization | Models and Languages for Big Data Protection | Large-scale Social Media and Recommendation Systems |
Information hiding in data mining | Privacy Preserving Big Data Analytics | Experiences with Big Data Project Deployments |
Competitive analysis of mining algorithms | Big Data Encryption | Big Data in Enterprise Management Models and Practices |
Security and privacy issues | Collaborative Threat Detection using Big Data Analytics | Big Data for Enterprise Transformation |