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

9818323Maltic，Jonathan I.Dasgupta，Dipankar，孟菲斯大学仪器用于系统，软件和数据库研究该研究仪器使以下研究项目成为可能：-数据挖掘的几何技术，-基于免疫的入侵检测，-自适应索引，以及-软件重用和理解。为了支持上述项目，该奖项有助于建立仪器基础设施，这是孟菲斯大学数学科学系致力于系统、软件和数据库特定研究的实验室。这笔资金将用于购买一架Sun Enterprise 250、一些Sun Ultra 5‘S以及配套的网络软件设施。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的，但解决方案涉及几何结构和算法，以及空间数据挖掘中的数据本身的几何性质。具体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邻近性和聚类性问题。第二个项目的重点是研究设计用于网络入侵检测的多代理系统的免疫学原理。免疫智能体在网络的各个节点间漫游，监测情况，相互识别对方的活动，并产生特定的动作，同时动态地学习和适应其环境。第三个项目探索了诸如查询信息和自动调整特性等技术，以使索引能够更恰当地响应变化。最后一个项目试图通过使用潜在语义分析的软件重用来提高软件质量和生产率。

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.