CISE Research Instrumentation: Instruments for Systems, Software, and Database Research

CISE 研究仪器：用于系统、软件和数据库研究的仪器

• 批准号: 9818323
• 负责人: Jonathan Maletic
• 金额: $ 3.6万
• 依托单位: University of Memphis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-03-15 至 2002-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9818323&HistoricalAwards=false
• 关键词: CISE; Research; Instrumentation; Instruments; Systems

9818323Maletic, Jonathan I.Dasgupta, DipankarUniversity of MemphisInstruments for Systems, Software, and Database ResearchThis research instrumentation enables research projects in:- Geometric Techniques for Data Mining,- Immunity-Based Intrusion Detection,- Adaptive Indexing, and - Software Reuse and Understanding.To support the aforementioned projects, this award contributes in building an instrumentation infrastructure, a laboratory dedicated to specific research in systems, software, and database, at the University of Memphis, Department of Mathematical Sciences. The funds will contribute to the purchase of a Sun Enterprise 250, some Sun Ultra 5's, and the supporting networking software facilities. The computational techniques in the first project will be used to handle data mining problems in time series, where the data is not geometric in nature, but solutions involve geometric structures and algorithms and in spatial data mining, where the data itself is geometric in nature. Specific problems include similarity measure and searching in time series, and proximity and clustering problems in spatial data mining. The second project focuses on investigating immunological principles in designing a multi-agent system for network intrusion detection. The immune agents roam around the nodes of the network and monitor the situation, mutually recognize each other's activities, and produce specific action, while learning and adapting to its environment dynamically. The third project explores techniques such as query information and automatically adjusting features to enable the indexing to respond to change more appropriately. The last project tries to improve software quality and productivity through software reuse using latent semantic analysis.

9818323 MALETIT，JONATHAN I.DASGUPTA，用于系统，软件和数据库研究仪器的孟菲斯ins子的dipankaruniversity dipankaruniversity在： - 基于免疫力的侵入式检测中， - 适应性的索引和贡献 - 构建该项目，以下几何技术来启用研究项目。基础架构是一家致力于孟菲斯大学数学科学系的系统，软件和数据库中特定研究的实验室。 这些资金将有助于购买Sun Enterprise 250，一些Sun Ultra 5和支持网络软件设施。 第一个项目中的计算技术将用于处理时间序列中的数据挖掘问题，其中数据本质上不是几何，但是解决方案涉及几何结构和算法以及在空间数据挖掘中，其中数据本身是本质上的几何学。 特定问题包括时间序列中的相似性度量和搜索，以及空间数据挖掘中的接近性和聚类问题。 第二个项目着重于研究设计用于网络入侵检测的多代理系统时的免疫学原理。 免疫药物围绕网络节点漫游，并监视情况，相互识别彼此的活动，并产生特定的动作，同时学习和适应其环境。 第三个项目探讨了诸如查询信息和自动调整功能之类的技术，以使索引能够响应更改。 最后一个项目试图通过使用潜在的语义分析来提高软件质量和生产率。