Call for Papers

Introduction

Recently, applications that require analysis, storage and retrieval of streaming data become of special significance to both the data mining and data base community.

Advances in both hardware and software technologies coupled with high-speed, distributed and pervasive data generation have led to the area of data streams. Streaming data is ubiquitous and there is a real need to store, query and analyze such rapid and large volumes of data. Examples of data streams include (but are not limited to): data generated from wireless sensor networks, web logs and clickstreams, ATM transactions, search engines, phone call records, stock trades, traffic data, fabrication, weather forecasting, and telescope images. Due to their assumptions, traditional data mining and data storage technologies are infeasible for analyzing streaming data. Owing to the importance of applications of this area, mining and managing data streams has attracted great attention over the last few years.

Many applications deal with data of changing characteristics. For instance, managing objects that move in space has applications in traffic control, law enforcement, homeland security, urban planning, etc. As another example, one distinguishing trait setting data streams apart from disk-stored data is that streaming data usually exhibits time-changing data characteristics. As most decision making tasks rely on the up-to-dateness of their supporting data, the evolving nature of the data creates tremendous complexity for many mining algorithms. On the other hand, users are often interested in changes embodied by the data. Thus, how to make mining algorithms more effective and efficient in view of changing data characteristics has become a major challenge in a wide range of application domains. These include applications in network monitoring, biosurveillance, Web data mining, clustering and classification of data of changing distributions, etc.

This workshop aims at gathering data mining and data base researchers to demonstrate their recent research results in the area. Papers that address mining and managing streaming data techniques, systems and applications are welcome. We also encourage position and on-going research papers.

Topics of interest (non-exhaustive list)

Submission guidelines

Camera ready papers must be submittedon or before Aug 17, 2007.

All papers must be submitted in PDF format. It is the responsibility of the authors to ensure that the submitted papers print correctly on a variety of printers. The author's kit and instruction for final version submission is now available at: Author's Kit.

Important Dates