First International Workshop on Data Warehousing and Knowledge Discovery from Sensors and Streams

in conjunction with the

5th International Conference on Distributed Computing in Sensor Systems (DCOSS 2009)

June 8-10, 2009, Marina Del Rey, California, USA

Selected papers from the workshop will be invited for submission to a special issue of

Knowledge and Information Systems

Springer

ACCEPTED PAPERS

C. Zaniolo (Invited Speaker), Data Stream Management Systems for Processing and Mining RFID Streams
L. Becchetti, U. Colesanti, A. Marchetti-Spaccamela, A. Vitaletti, Fully Decentralized Recommendations in Pervasive Systems: Models and Experimental Analysis
A. Cuzzocrea, J. Han, Estimating OLAP Queries over Uncertain and Imprecise Multidimensional Data Streams
S.K. Chong, S. Krishnaswamy, M.M. Gaber, S.W. Loke, Mining Rules from Sensor Data Streams for WSN Energy Conservation
D. Apiletti, E. Baralis, T. Cerquitelli, A.A. Cheema, Energy-aware Models for Sensor Network Data Acquisition

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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, 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), 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

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Workshop Location

Marina Del Rey, California, USA.

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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. 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 31, 2009) should be sent by e-mail to the Program Chair Alfredo 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 April 5, 2009) should be submitted in PDF or Postscript format by e-mail to the Program Chair Alfredo Cuzzocrea at cuzzocrea@si.deis.unical.it.

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Paper Publication

Accepted papers will appear in a DCOSS 2009 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, Springer.

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Important Dates

Abstract submission: March 24, 2009 >>> March 31, 2009
Paper submission: March 31, 2009 >>> April 5, 2009
Notification of acceptance: April 26, 2009
Camera-ready paper due: May 3, 2009
Workshop: June 10, 2009

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Program Committee Chair

Alfredo Cuzzocrea, ICAR-CNR & University of Calabria, Italy

Program Committee

Jesus Aguilar, Pablo de Olavide University, Spain
Giuseppe Amato, ISTI-CNR, Italy
Andre Carvalho, University of Sao Paulo, Brazil
Tania Cerquitelli, Politecnico di Torino, Italy
Shi-Kuo Chang, University of Pittsburgh, USA
Nitesh V. Chawla, University of Notre Dame, USA
Sanjay Chawla, University of Sidney, Australia
Francisco Ferrer, University of Seville, Spain
Mohamed Gaber, Monash University, Australia
Joao Gama, University of Porto, Portugal
Auroop Ganguly, Oak Ridge National Laboratory, USA
Dimitrios Gunopulos, University of California Riverside, USA
Paul Havinga, University of Twente, The Netherlands
Yan Huang, University of North Texas, USA
Dimitrios Katsaros, University of Thessaly, Greece
Mark Last, Ben-Gurion University, Israel
Donato Malerba, University of Bari, Italy
Michael May, Fraunhofer IAIS, Germany
Mirco Nanni, ISTI-CNR, Italy
Silvia Nittel, University of Maine, USA
Olufemi Omitaomu, Oak Ridge National Laboratory, USA
Salvatore Orlando, University "Ca' Foscari" of Venice, Italy
Apostolos Papadopoulos, Aristotle University, Greece
Dino Pedreschi, University of Pisa, Italy
Jean-Marc Petit, University of Lyon 1, France
Mark Roantree, Dublin City University, Ireland
Pedro Rodrigues, University of Porto, Portugal
Josep Roure, Technical University of Catalonia, Spain
Lorenza Saitta, University of Piemonte Orientale, Italy
Claudio Sartori, University of Bologna, Italy
Yucel Saygin, Sabanci University, Turkey
Bernhard Seeger, University of Marburg, Germany
Cyrus Shahabi, University of Southern California, USA
Maarten van Someren, University of Amsterdam, The Netherlands
Eduardo Spinosa, University of Sao Paulo, Brazil
Ranga Vatsavai, Oak Ridge National Laboratory, USA
Jeff Vitter, Purdue University, USA
David J. Yates, Bentley University, USA
Eiko Yoneki, University of Cambridge, UK

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For more information and any inquire, please contact Alfredo Cuzzocrea at cuzzocrea@si.deis.unical.it