DataScience 2015 - The Sixth ASE International Conference on Data Science
Date2015-08-18 - 2015-08-20
Deadline2015-04-17
VenueStanford University, Stanford, USA - United States
Keywords
Topics/Call fo Papers
The conference is open for research paper submissions. The research paper should follow ASE paper format with 12 page limit. Topics of particular interest include, but are not limited to:
Topics of particular interest include, but are not limited to:
Big Data Science: Theories, models, algorithms, benchmarking, curation, and methods for understanding big data
Big Data Computing: Infrastructures, tools, programming, architectures, benchmarking, and testing of big data systems using Map/Reduce, Hadoop and others
Big Data Mining: Acquisition, representation, indexing, storage, management, processing, pre-processing and post-processing of big data
Big Data Analytics: Metrics, frameworks, evaluation, tools, analysis, visualization of big data
Big Data Understanding: learning, knowledge discovery, business and consumer intelligence, user behavior, community discovery
Big Data Applications: Industrial and scientific applications of big data such as search, recommendations, business intelligence, marketing, social media, good practices and reproducibility.
Big Data Privacy and Security: Data privacy enhancing technologies, privacy-preserving computing, risk analysis, modeling, and management, trustworthy computing, access control.
Topics of particular interest include, but are not limited to:
Big Data Science: Theories, models, algorithms, benchmarking, curation, and methods for understanding big data
Big Data Computing: Infrastructures, tools, programming, architectures, benchmarking, and testing of big data systems using Map/Reduce, Hadoop and others
Big Data Mining: Acquisition, representation, indexing, storage, management, processing, pre-processing and post-processing of big data
Big Data Analytics: Metrics, frameworks, evaluation, tools, analysis, visualization of big data
Big Data Understanding: learning, knowledge discovery, business and consumer intelligence, user behavior, community discovery
Big Data Applications: Industrial and scientific applications of big data such as search, recommendations, business intelligence, marketing, social media, good practices and reproducibility.
Big Data Privacy and Security: Data privacy enhancing technologies, privacy-preserving computing, risk analysis, modeling, and management, trustworthy computing, access control.
Other CFPs
Last modified: 2015-03-02 23:15:37