NSF Org:	EIA DIVISION OF EXPERIMENTAL & INTEG ACTIVIT
Recipient:	UNIVERSITY OF MEMPHIS
Initial Amendment Date:	April 2, 1999
Latest Amendment Date:	April 2, 1999
Award Number:	9818323
Award Instrument:	Standard Grant
Program Manager:	Frederica Darema EIA  DIVISION OF EXPERIMENTAL & INTEG ACTIVIT CSE  Directorate for Computer and Information Science and Engineering
Start Date:	March 15, 1999
End Date:	February 28, 2002 (Estimated)
Total Intended Award Amount:	$36,000.00
Total Awarded Amount to Date:	$36,000.00
Funds Obligated to Date:	FY 1999 = $36,000.00
History of Investigator:	Jonathan Maletic (Principal Investigator) jmaletic@kent.edu Gautam Das (Co-Principal Investigator) Dipankar Dasgupta (Co-Principal Investigator) King-Ip Lin (Co-Principal Investigator)
Recipient Sponsored Research Office:	University of Memphis 115 JOHN WILDER TOWER MEMPHIS TN  US  38152-0001 (901)678-3251
Sponsor Congressional District:	09
Primary Place of Performance:	University of Memphis 115 JOHN WILDER TOWER MEMPHIS TN  US  38152-0001
Primary Place of Performance Congressional District:	09
Unique Entity Identifier (UEI):	F2VSMAKDH8Z7
Parent UEI:
NSF Program(s):	DISTRIBUTED SYSTEMS, SOFTWARE ENGINEERING AND LANGU, CISE Research Resources
Primary Program Source:	app-0199
Program Reference Code(s):	9216, HPCC
Program Element Code(s):	287600, 288000, 289000
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.070

ABSTRACT

9818323
Maletic, Jonathan I.
Dasgupta, Dipankar
University of Memphis

Instruments for Systems, Software, and Database Research

This 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.

Please report errors in award information by writing to: awardsearch@nsf.gov.