Calls for papers
![International Journal of Data Mining, Modelling and Management International Journal of Data Mining, Modelling and Management](https://www.inderscience.com/images/cover/scoverijdmmm.jpg)
International Journal of Data Mining, Modelling and Management
Special Issue on: "Spatial Information Modelling, Management and Mining"
Guest Editors:
Dr. Xin Wang, University of Calgary, Canada
Dr. Jihong Guan, Tongji University, China
Dr. Shuigeng Zhou, Fudan University, China
Nowadays, spatial data exists pervasively in various information systems and applications. The unprecedented amount of spatial data that has been amassed and that is being produced in an increasing speed, via various facilities such as sensors, GPS receivers, smart phones and remote sensing, calls for extensive, deep and sustainable research on spatial information modelling, management and mining. In the past decade, we witnessed increasing research interests in these areas from the database, data mining and geographic information systems (GIS) communities.
This special issue on aims to solicit original research contributions and practical experiences of spatial information modelling, management and mining.
Subject CoverageTargeted topics include, but are not limited to:
- Spatial information modelling
- Spatial data modelling
- Conceptual and logical models for spatial data
- Spatial services modelling
- Spatial information grid
- Ontologies for GIS applications
- Schema mapping and evolution
- Spatial semantic issues
- Spatial information management
- Spatial query languages and interfaces
- Spatial query processing and optimization
- Spatial search engines
- Spatial data management in cloud
- Spatial information integration
- Spatial information interoperability and standards
- Spatial metadata management
- Spatial information visualization
- Location-based services
- Spatial mining
- Spatial correlation analysis
- Spatial clustering
- Spatial regression and classification
- Spatial trend detection
- Spatial outlier detection
- Spatial data warehousing
Notes for Prospective Authors
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper was not originally copyrighted and if it has been completely re-written).
All papers are refereed through a peer review process. A guide for authors, sample copies and other relevant information for submitting papers are available on the Author Guidelines page
Important Dates
Paper Submission Deadline: 1 April, 2011 (extended)