Workshop / Invited Session

IS1: Object Tracking in Wireless Sensor Networks

Introduction
The object tracking in sensor network has great potential of being widely used in many domains i.e., tracking enemy vehicles, detecting illegal border crossings, tracking the movement of animals in wildlife protection. In such applications, many sensors are involved in collaboration in order to track the object). An important limitation of sensor network is its limited power source, the most important issue for object tracking in sensor network is to track the object with lowest energy consumption, while maintain better tracking accuracy, which is challenging.

Scope/Topic :

WS1: The Second International Workshop on Interesting Knowledge Mining (IKM 2010)

Scope/Topic :
The IKM Workshop focuses on issues of discovering interesting and actionable knowledge from data. Theoretical advances, algorithms and systems, and application cases that make efforts to derive interesting knowledge from data are welcome contributions.

One of the main goals of KDD is to find nuggets of useful knowledge that could influence or help users in a decision making process. This task can be viewed as searching in an immense space for possible workable, concrete, and profitable strategies to the decision-maker. In the last decade, KDD algorithms have made a tremendous progress and have been demonstrated to be of significant value in a variety of real-world applications. Nevertheless, there is a gap between the discovered patterns and the formulated solutions. Currently, this gap is filled by manual or semi-automatic analysis, which is time consuming, biased, limits the efficiency of KDD overall process and capabilities.

The workshop invites papers on all aspects of diminishing the gap between the discovered results and actual action plans, including, but not limited to: