知识发现及其相关领域的新研究方向

A. Nica, Fabian M. Suchanek, A. Varde
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引用次数: 4

摘要

今天,知识发现的领域扩展到几个相关领域。它包括数据库管理领域,如数据仓库和模式版本控制;信息检索领域,如Web语义和主题检测;以及核心数据挖掘领域,例如基于知识的系统、不确定性管理和时间序列挖掘。这在博士生选择的论文题目中尤为明显。博士论文作为研究的基础,指出了新的研究途径,对已知领域的结合提供了新的观点。在这篇文章中,我们概述了最近提出的知识发现及其相关领域的一些发展。我们的文章基于ACM信息与知识管理会议(CIKM 2011)博士研讨会上提出的主题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New Research Directions in Knowledge Discovery and Allied Spheres
The realm of knowledge discovery extends across several allied spheres today. It encompasses database management areas such as data warehousing and schema versioning; information retrieval areas such as Web semantics and topic detection; and core data mining areas, e.g., knowledge based systems, uncertainty management, and time-series mining. This becomes particularly evident in the topics that Ph.D. students choose for their dissertation. As the grass roots of research, Ph.D. dissertations point out new avenues of research, and provide fresh viewpoints on combinations of known fields. In this article we overview some recently proposed developments in the domain of knowledge discovery and its related spheres. Our article is based on the topics presented at the doctoral workshop of the ACM Conference on Information and Knowledge Management, CIKM 2011.
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