Big Data and Information Analytics (BigDIA) is an interdisciplinary quarterly journal promoting cutting-edge research, technology transfer and knowledge translation about complex data and information processing.
The journal papers will be organized quarterly and published online first. At the end of each year, there will be a hardcopy volume, consisting of the four issues. Institutes subscribing to the journal have access to the electronic access and can purchase a hard copy. Hard copies can also be sold individually.
Research articles (long and original research);
Communications (short and novel research);
Technology Transfer and Knowledge Translation reports (description of new technologies and products);
Announcements and Industrial Progress and News (announcements and even advertisement, including major conferences);
Scopes include (but not limited to) the following topics:
Dataology and data science
Mathematical fundamentals of complex or big data and information analysis
Analytical tools for complex or big data
Measure and representation of complex or big data
Data acquisation (data quality, data security, data standard)
Data storage and access
Data analysis and mining (data cluster, data classification, data prediction, and
latent variable analysis)
Bioinformatics and computational biology (or systems biology)
Interactive content analytics
Business intelligence and marketing analytics
Complex data-driven design
Scientific data analysis
Large scale data applications - transportation, finance, etc.