From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Bioinformatics Methods and Protocols
Bioinformatics Methods and Protocols
Grid Computing: Making the Global Infrastructure a Reality
Grid Computing: Making the Global Infrastructure a Reality
The Alexandria Digital Library and the alexandria digital earth prototype
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Envisioning intelligent information technologies through the prism of web intelligence
Communications of the ACM - Emergency response information systems: emerging trends and technologies
Communications of the ACM - Web science
Behavior Informatics and Analytics: Let Behavior Talk
ICDMW '08 Proceedings of the 2008 IEEE International Conference on Data Mining Workshops
Web intelligence meets brain informatics
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
A brain data integration model based on multiple ontology and semantic similarity
BI'10 Proceedings of the 2010 international conference on Brain informatics
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The essence of computer applications is to store things in the real world into computer systems in the form of data, i.e., it is a process of producing data. Some data are the records related to culture and society, and others are the descriptions of phenomena of universe and life. The large scale of data is rapidly generated and stored in computer systems, which is called data explosion. Data explosion forms data nature in computer systems. To explore data nature, new theories and methods are required. In this paper, we present the concept of data nature and introduce the problems arising from data nature, and then we define a new discipline named dataology (also called data science or science of data), which is an umbrella of theories, methods and technologies for studying data nature. The research issues and framework of dataology are proposed.