Special Session
Special Session on
Spatial Data Mining -
SDM
2012
4 - 7 October, 2012 - Barcelona, Spain
Within the International Conference on Knowledge Discovery and Information Retrieval - KDIR 2012
* CANCELLED *
CHAIR
|
Lamia Fattouh
Independent Researcher
Saudi Arabia
lfibrahim.kau.edu.sa
|
|
|
|
Brief Bio
Lamia Fattouh is a professor in Faculty of Computer and Information Sciences, Ain Shams University.
|
SCOPE
The generation of disparate, dynamic, and geographically distributed spatial data has exploded in recent years. The rate at which geospatial data are being generated clearly exceeds our ability to organize and analyze them to extract patterns critical for understanding in a timely manner a dynamically changing world.
Computer science and geoinformatics are collaborating in order to address these scientific and computational challenges and provide innovative and effective solutions.
More specifically, efficient and reliable data mining techniques are needed for extracting useful geoinformation from large heterogeneous databases,
Often multi-modal spatiotemporal datasets in three dimensions. Traditional data mining techniques are ineffective as they do not incorporate the idiosyncrasies of the spatial domain, which include (but are not limited to) spatial autocorrelation, spatial context, spatial constraints and spatial biometric databases. Extracting useful geoinformation from several terabytes of streaming multi-modal data per day also demands the use of modern computing in all its forms. Thus, we invite computer science and geoinformatics researchers to participate in this event in order to share, contribute, and discuss the emerging challenges in spatial data mining.
Topics of Interest
The major topics of interest to the special session include but are not limited to:
- Theoretical foundations of spatial data mining
- Spatial clustering: methods and algorithms that explicitly model special context
- Clustering and indexing biometric databases
- Clustering and indexing multimedia databases
- Spatial classification: methods that explicitly model spatial context
- Image (multispectral, hyperspectral, aerial, radar) information mining, change detection
- Role of uncertainty in spatial data mining
- Integrated approaches to multi-source and multimodal data mining
- Resource-aware techniques to mine streaming spatiotemporal data
- Spatial and spatiotemporal data mining at multiple granularities )space in 3 dimensions(
- Data structures and indexing methods for spatiotemporal data mining
- Spatial and Spatiotemporal online analytical processing, data warehousing
- Geospatial Intelligence
- Applications that demonstrate success stories of spatial data mining
PROGRAM COMMITTEE MEMBERS
Available soon.
PAPER SUBMISSION
Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines and Templates.
Papers should be submitted electronically via the web-based submission system at: http://www.insticc.org/Primoris
PUBLICATIONS
All accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on CD-ROM support - and submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP and EI (Elsevier Index).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/).
SCITEPRESS is member of CrossRef (http://www.crossref.org/).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library