First International Workshop on Data Warehousing and Knowledge Discovery from Sensors and Streams (DKSS 2009) (http://si.deis.unical.it/cuzzocrea/DKSS2009/)

in conjunction with the 5th International Conference on Distributed Computing in Sensor Systems (DCOSS 2009) (DCOSS 2009) (http://www.dcoss.org/index.php), June 8-10 2009, Marina Del Rey, California, USA.

Selected papers from the workshop will be invited for submission to a special issus of Knowledge and Information Systems (http://www.springer.com/computer/information+systems/journal/10115), Springer (http://www.springer.com/?SGWID=5-102-0-0-0)

Workshop Chair
--------------

Alfredo Cuzzocrea (http://si.deis.unical.it/cuzzocrea/), ICAR-CNR and University of Calabria, Italy

Aim and Scope
-------------

During last years, the issue of effectively and efficiently supporting data warehousing and knowledge discovery from sensor networks, and, more generally, data stream sources, which can be reasonably intended as a meaningfully generalization of the former kind of networks, is gaining a more and more great deal of interest from the data warehousing and knowledge discovery research community. Main research issues in this scientific field arise from the clear and well-recognized unsuitability of traditional data warehousing and knowledge discovery methodologies, techniques and algorithms in dealing with the new challenges posed by sensor network data and, more generally, data streams. Indeed, traditional approaches are meant for multi-step methodologies and techniques, and multi-scan algorithms, which cannot be straightforwardly applied to sensor network data and data streams, due to well-known limitations such as bounded memory, online/timely data processing, need for one-pass techniques, energy consumption issues etc.

Starting from these limitations, a plethora of data warehousing and knowledge discovery methodologies, techniques and algorithms have been proposed during these last years, and, simultaneously, a more and more large number of research events have focused their attention to this leading research challenge. Following this actual trend and the previous successful related event represented by the book Intelligent Techniques for Warehousing and Mining Sensor Network Data (http://si.deis.unical.it/~cuzzocrea/SensorBook2007/), the First International Workshop on Data Warehousing and Knowledge Discovery from Sensors and Streams, which will be held in Marina Del Rey, CA, USA, during June 8-10, 2009, in conjunction with the 5th International Conference on Distributed Computing in Sensor Systems (DCOSS 2009) (http://www.dcoss.org/index.php), will provide a leading forum for researchers and practitioners interested in data warehousing and knowledge discovery from sensor network data and data streams, to meet and exchange preliminary ideas and mature results, with emphasis on both the theoretical and practical point of view.

The First International Workshop on Data Warehousing and Knowledge Discovery from Sensors and Streams will address all topics of data warehsouing and knowledge discovery from sensor network data and data streams, including:

- Foundations of Warehousing Sensor-Network-Data/Data-Streams
- Foundations of Knowledge Discovery from Sensor-Network-Data/Data-Streams
- Theories for Warehousing Sensor-Network-Data/Data-Streams
- Theories for Knowledge Discovery from Sensor-Network-Data/Data-Streams
- Methodologies for Warehousing Sensor-Network-Data/Data-Streams
- Methodologies for Knowledge Discovery from Sensor-Network-Data/Data-Streams
- Techniques for Warehousing Sensor-Network-Data/Data-Streams
- Techniques for Knowledge Discovery from Sensor-Network-Data/Data-Streams
- Algorithms for Warehousing Sensor-Network-Data/Data-Streams
- Algorithms for Knowledge Discovery from Sensor-Network-Data/Data-Streams
- Integration Techniques for Warehousing Sensor-Network-Data/Data-Streams
- Mediators for Warehousing Sensor-Network-Data/Data-Streams
- ETL for Sensor-Network-Data/Data-Streams
- OLAP for Sensor-Network-Data/Data-Streams
- OLAM for Sensor-Network-Data/Data-Streams
- BI for Sensor-Network-Data/Data-Streams
- Distributed Warehousing Sensor-Network-Data/Data-Streams
- Real-Time Warehousing Sensor-Network-Data/Data-Streams
- Load-Balancing Issues in Distributed and Real-Time Warehousing Sensor-Network-Data/Data-Streams
- Classification from Sensor-Network-Data/Data-Streams
- Clustering from Sensor-Network-Data/Data-Streams
- Association Rule Mining from Sensor-Network-Data/Data-Streams
- Outlier Detection from Sensor-Network-Data/Data-Streams
- Machine Learning from Sensor-Network-Data/Data-Streams
- Statistical Learning from Sensor-Network-Data/Data-Streams
- Distributed Knowledge Discovery from Sensor-Network-Data/Data-Streams
- Real-Time Knowledge Discovery from Sensor-Network-Data/Data-Streams
- Scalable Knowledge Discovery from Sensor-Network-Data/Data-Streams
- Feature Selection Techniques for Sensor-Network-Data/Data-Streams
- Dimensionality Reduction Techniques for Sensor-Network-Data/Data-Streams
- Concept Drifting Problems for Sensor-Network-Data/Data-Streams
- Change Detection Techniques for Sensor-Network-Data/Data-Streams
- Knowledge Acquisition Models and Techniques for Sensor-Network-Data/Data-Streams
- Knowledge Visualization Models and Techniques for Sensor-Network-Data/Data-Streams
- Knowledge Provisioning Models and Techniques for Sensor-Network-Data/Data-Streams
- Knowledge Fusion Models and Techniques for Sensor-Network-Data/Data-Streams
- Knowledge Reasoning Models and Techniques for Sensor-Network-Data/Data-Streams
- Spatio-Temporal Knowledge Discovery from Sensor-Network-Data/Data-Streams
- Location-Aware Knowledge Discovery from Sensor-Network-Data/Data-Streams
- Knowledge Discovery from Uncertain Sensor-Network-Data/Data-Streams
- Knowledge Discovery from Incomplete Sensor-Network-Data/Data-Streams
- Knowledge Discovery from Probabilistic Sensor-Network-Data/Data-Streams
- Knowledge Discovery from Multiple Sensor-Network-Data/Data-Streams
- Adaptive Knowledge Discovery Models and Techniques from Sensor-Network-Data/Data-Streams
- Resource-Aware Algorithms for Large-Scale Scalable Data Warehsouing and Knowledge Discovery from Sensor-Network-Data/Data-Streams
- Advanced Techniques for Efficient Scalable Knowledge Discovery from Sensor-Network-Data/Data-Streams (e.g., Histograms and Summaries over Sensor-Network-Data/Data-Streams, Semantics-based Compression of Sensor-Network-Data/Data-Streams, Correlation Discovery Techniques for Sensor-Network-Data/Data-Streams etc)
- Applications of Warehousing Sensor-Network-Data/Data-Streams
- Applications of Knowledge Discovery from Sensor-Network-Data/Data-Streams

Workshop Location
-----------------

Marina Del Rey, California, USA.

Submission Guidelines and Instructions
--------------------------------------

Contributions are invited from prospective authors with interests in the indicated session topics and related areas of application. All contributions should be high quality, original and not published elsewhere or submitted for publication during the review period.

Submitted papers should strictly follow the IEEE Transactions journals and conferences style (http://www.ieee.org/pubs/authors.html). Maximum regular camera-ready paper length allowed is 12 pages. Submitted papers will be thoroughly reviewed by members of the Workshop Program Committee for quality, correctness, originality and relevance. Submitted papers may be accepted for oral or poster presentation. Notification and reviews will be communicated via e-mail. All accepted papers must be presented by one of the authors, who must register.

Abstracts (deadline March 24, 2009) should be sent by e-mail to the Program Chair Alfredo Cuzzocrea (http://si.deis.unical.it/~cuzzocrea/) at cuzzocrea@si.deis.unical.it. Abstracts must include paper title, abstract, list of keywords, and list of authors with full names and affiliations. One of the authors must be designated as the primary contact point to receive notification and reviews.

Papers (deadline March 31, 2009) should be submitted in PDF or Postscript format by e-mail to the Program Chair Alfredo Cuzzocrea (http://si.deis.unical.it/~cuzzocrea/) at cuzzocrea@si.deis.unical.it.

Paper Publication
-----------------

Accepted papers will appear in a DCOSS 2009 (http://www.dcoss.org/index.php) Workshops Volume, with ISBN.

Authors of selected papers from the workshop will be invited to submit an extended version of their paper to a special issue of Knowledge and Information Systems (http://www.springer.com/computer/information+systems/journal/10115), Springer (http://www.springer.com/?SGWID=5-102-0-0-0).

Important Dates
---------------

Abstract submission: March 24, 2009
Paper submission: March 31, 2009
Notification of acceptance: April 26, 2009
Camera-ready paper due: May 3, 2009
Workshop: June 10, 2009

Program Committee Chair
-----------------------

Alfredo Cuzzocrea (http://si.deis.unical.it/cuzzocrea/), ICAR-CNR and University of Calabria, Italy

Program Committee (to be extended)
----------------------------------

Jesus Aguilar, Pablo de Olavide University, Spain (http://www.upo.es/eps/aguilar/)
Andre Carvalho, University of Sao Paulo, Brazil (http://www.icmc.usp.br/~andre/)
Shi-Kuo Chang, University of Pittsburgh, USA (http://www.cs.pitt.edu/~chang/)
Nitesh V. Chawla, University of Notre Dame, USA (http://www.nd.edu/~nchawla/)
Sanjay Chawla, University of Sidney, Australia (http://www.cs.usyd.edu.au/~chawla/)
Francisco Ferrer, University of Seville, Spain (http://www.lsi.us.es/~ferrer/)
Mohamed Gaber, Monash University, Australia (http://www.geocities.com/medhatgaber/)
Joao Gama, University of Porto, Portugal (http://www.liaad.up.pt/~jgama/)
Auroop Ganguly, Oak Ridge National Laboratory, USA (http://www.geocities.com/auroop_ganguly/)
Yan Huang, University of North Texas, USA (http://www.cse.unt.edu/~huangyan/)
Mark Last, Ben-Gurion University, Israel (http://www.ise.bgu.ac.il/faculty/mlast/)
Donato Malerba, University of Bari, Italy (http://www.ise.bgu.ac.il/faculty/mlast/)
Olufemi Omitaomu, Oak Ridge National Laboratory, USA (http://www.ornl.gov/~7f3/)
Salvatore Orlando, University "Ca' Foscari" of Venice, Italy (http://www.dsi.unive.it/~orlando/)
Jean-Marc Petit, University of Lyon 1, France (http://liris.cnrs.fr/~jmpetit/)
Mark Roantree, Dublin City University, Ireland (http://www.computing.dcu.ie/~mark/mroantree.html)
Pedro Rodrigues, University of Porto, Portugal (http://www.liaad.up.pt/~pprodrigues/)
Yucel Saygin, Sabanci University, Turkey (http://people.sabanciuniv.edu/ysaygin/)
Claudio Sartori, University of Bologna, Italy (http://www-db.deis.unibo.it/~csartori/)
Cyrus Shahabi, University of Southern California, USA (http://infolab.usc.edu/Shahabi/)
Eduardo Spinosa, University of Sao Paulo, Brazil (http://www.icmc.usp.br/~ejspin/)
Ranga Vatsavai, Oak Ridge National Laboratory, USA (http://www-users.cs.umn.edu/~vatsavai/)
David J. Yates, Bentley University, USA (http://www.bentley.edu/academics_research/faculty_research/faculty_database/faculty_detail.cfm?id=1150639)
Eiko Yoneki, University of Cambridge, UK (http://www.cl.cam.ac.uk/~ey204/)

For more information and any inquire, please contact Alfredo Cuzzocrea (http://si.deis.unical.it/~cuzzocrea/) at cuzzocrea@si.deis.unical.it