Management and program audit, criminal history components, criminal justice information system, Illinois Department of Law Enforcement.

"July 1982."

Quantifying riparian habitat for wildlife in the Vermilion Basin : an evaluation of the Illinois stream information system and other geographic data for statewide classification of riparian habitat /

"This one-year project was designed to assess the feasibility of using the information contained in the Illinois Stream Information System (ISIS), in conjunction with the Illinois Geographic Information System (IGIS), to evaluate the riparian habitat for wildlife in the Vermilion River Basin." -- pg. 4.

Using a geographic information system to optimize site selection for the ssc in Illinois /

"April 1987"--cover.

Construction management information system report : project directory.

Cover title.

Construction management information system report : project directory.

Cover title.

Geographic information system : a computer assisted approach to managing forest pest area.

"October 1983"--P. [1]

Compliance with standards, abatement of violations and effectiveness of OSHA safety inspections : results of an analysis of OSHA management information system data /

Bibliography: p. 52.

Semiannual Report of the Secretary of State to Congress on the International Information and Education Exchange Program

Title Varies: U.S. International Information and Educational Exchange Program; International Information and Educational Exchange Program; Semiannual Report of the Secretary of State To Congress; International Educational Exchange Program

Integrated motorist information system (IMIS) feasibility and design study : phase 1 : feasibility /

Mode of access: Internet.

High blood pressure control : information and education strategies for messages to public and patient audiences.

Cover title.

Activity codes, organizational codes and definitions used in extramural programs : A computer-based information system on the extramural programs of NIH.

NIH manual issuance 4101.

Towards rope shovel automation operation information system

The road to electric rope shovel automation is marked with technological innovations that include an increase in operational information available to mining operations. The CRCMining Shovel Operator Information System not only collects machine operational data but also provides the operator with knowledge-of-performance and influences his/her performance to achieve higher productivity with reduced machine duty. The operator’s behaviour is one of the most important aspects of the man-machine interaction to be considered before semi- or fully-automated shovel systems can be realised. This paper presents the results of the rope shovel studies conducted by CRCMining between 2002 and 2004, provides information on current research to improve shovel performance and briefly discusses the implications of human-system interactions on future designs of autonomous machines.

Customer information system data pre-processing with feature selection techniques for non-technical losses prediction in an electricity market

Non-technical losses (NTL) identification and prediction are important tasks for many utilities. Data from customer information system (CIS) can be used for NTL analysis. However, in order to accurately and efficiently perform NTL analysis, the original data from CIS need to be pre-processed before any detailed NTL analysis can be carried out. In this paper, we propose a feature selection based method for CIS data pre-processing in order to extract the most relevant information for further analysis such as clustering and classifications. By removing irrelevant and redundant features, feature selection is an essential step in data mining process in finding optimal subset of features to improve the quality of result by giving faster time processing, higher accuracy and simpler results with fewer features. Detailed feature selection analysis is presented in the paper. Both time-domain and load shape data are compared based on the accuracy, consistency and statistical dependencies between features.