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ORCID3rd SensorKDD 2009: Paris, France
- Olufemi A. Omitaomu, Auroop R. Ganguly, João Gama, Ranga Raju Vatsavai, Nitesh V. Chawla, Mohamed Medhat Gaber:
Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, Paris, France, June 28, 2009. ACM 2009, ISBN 978-1-60558-668-7
Invited talks
- Aurélie C. Lozano:
A data modeling approach to climate change attribution. 9 - Alessandro Donati:
Space missions & sensor networking: challenging scenarios. 10 - Carlos Guestrin:
How optimized environmental sensing helps address information overload on the web. 11
Full research papers
- Jorn Bakker, Mykola Pechenizkiy
, Indre Zliobaite, Andriy Ivannikov, Tommi Kärkkäinen:
Handling outliers and concept drift in online mass flow prediction in CFB boilers. 13-22 - Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. Ganguly:
An exploration of climate data using complex networks. 23-31 - Cody L. Moser, Oubeidillah Aziz, Glenn A. Tootle, Venkat Lakshmi, Greg Kerr:
A comparison of SNOTEL and AMSR-E snow water equivalent datasets in western U.S. watersheds. 32-38 - Marwan Hassani, Emmanuel Müller, Thomas Seidl:
EDISKCO: energy efficient distributed in-sensor-network k-center clustering with outliers. 39-48 - Ranga Raju Vatsavai:
Phenological event detection from multitemporal image data. 49-55 - Sean McRoskey, James Notwell, Nitesh V. Chawla, Christian Poellabauer:
Mining in a mobile environment. 56-60
Short research papers
- Shivam Tripathi, Rao S. Govindaraju:
On the identification of intra-seasonal changes in the Indian summer monsoon. 62-70 - Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic:
Reduction of ground-based sensor sites for spatio-temporal analysis of aerosols. 71-78 - Chen Li, Yang Zhang, Xue Li:
OcVFDT: one-class very fast decision tree for one-class classification of data streams. 79-86 - Li Wan, Jianxin Liao, Xiaomin Zhu:
A frequent pattern based framework for event detection in sensor network stream data. 87-96 - Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro:
Supervised clustering via principal component analysis in a retrieval application. 97-104 - Yosr Naïja, Kaouthar Blibech Sinaoui:
A novel measure for validating clustering results applied to road traffic. 105-113 - Jongwuk Lee, Seung-won Hwang:
SkyTree: scalable skyline computation for sensor data. 114-123 - Mennan Güder, Nihan Kesim Cicekli, Özgül Salor, Isik Çadirci:
Clustering of power quality event data collected via monitoring systems installed on the electricity network. 124-130
Challenge papers
- Shivam Tripathi, Rao S. Govindaraju:
Change detection in rainfall and temperature patterns over India. 133-141 - Mahashweta Das, Srinivasan Parthasarathy:
Anomaly detection and spatio-temporal analysis of global climate system. 142-150
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