Next Generation Data Mining and Cyber-Enabled Discovery for Innovation (NGDM'07) Workshop

来自各种来源的数据可用性的急剧增加正在给数据挖掘的计算、存储、通信和人机交互问题带来许多根本性的挑战。科学家、工程师和企业都面临着理解复杂的网络观测、海量模拟数据集和无处不在的感官数据流的问题。应该链接和分析这些不同的数据源，以发现科学、艺术和技术的下一个前沿。我们还需要超越目前的网络基础设施，探索下一代联网数据挖掘应用程序将如何支持这种大规模、无处不在、多源和数据密集型领域。本次关于下一代数据挖掘和网络支持的创新发现(NGDM-07)的研讨会汇集了来自不同背景的数据挖掘研究人员、科学家和工程师，以及与网络支持的创新发现(CDI)相关的各种新兴问题的领域专家。NGDM-07侧重于以下领域：科学、工程和数字人文领域的数据挖掘；基于信息隐私和安全考虑的安全和监视数据挖掘；多媒体数据挖掘；普适计算和无处不在的数据挖掘；以及网络、语义和数据挖掘。研讨会的跨学科性质为与会者提供了一个论坛，让他们合作分析数据挖掘的最新发展及其在CDI中的作用，制定新的数据挖掘研究方向，并概述对支持CDI挑战至关重要的开发或基础设施问题和活动。研讨会还将讨论富有成效的协作和协同活动，以促进CDI环境的创建。研讨会将生成一份报告，详细说明数据挖掘研究的未来方向，并将提出有前途的研究模式，以促进创新和技术转让。研讨会网站(http://www.cs.umbc.edu/~hillol/NGDM07/))还包括指向其他相关材料的链接。

The dramatic increase in the availability of data from various sources is creating many fundamental challenges in computing, storage, communication, and human computer interaction issues for data mining. Scientists, engineers, and businesses are faced with problems that involve understanding complex networked observations, massive simulation data sets, and ubiquitous sensory data streams. These heterogeneous data sources should be linked and analyzed for discovering the next frontiers of science, arts, and technology. We also need to look beyond the current cyber-infrastructure and explore how the next generation of networked data mining applications will support such large-scale, ubiquitous, multi-source, and data intensive domains. This workshop on Next Generation Data Mining and Cyber Enabled Discovery for Innovation (NGDM-07) brings together data mining researchers, scientists and engineers from diverse backgrounds along with domain experts for various emerging problems that are relevant to Cyber Enabled Discovery for Innovation (CDI). NGDM-07 focuses on the areas of: data mining in sciences, engineering and digital humanities; data mining for security and surveillance with information privacy and security considerations; multimedia data mining; pervasive computing and ubiquitous data mining; and the web, semantics, and data mining. The interdisciplinary nature of the workshop provides a forum for the participants to cooperatively analyze the state of the art in data mining and its role in CDI and formulate new data mining research directions, and outline development or infrastructure issues and activities that are fundamental in supporting CDI challenges. The workshop participants will also discuss fruitful collaborative and synergistic activities that will foster creation of CDI environments.The workshop will generate a report detailing future directions of data mining research and will suggest promising modalities of research with an aim to foster innovation and technology transfer. The workshop website (http://www.cs.umbc.edu/~hillol/NGDM07/) also includes links to other relevant material.