HANDBOOK CONTAINING INFORMATION, TABLES AND DATA RELATING TO THE MANUFACTURE AND USE OF COLD ROLLED STRIP STEEL

Mode of access: Internet.

H-44 operator's manual. Heatwole 44 information and data processing equipment.

Mode of access: Internet.

Accounting systems and data processing

Mode of access: Internet.

Census of high school students enrolled in community college courses for high school credit : findings and data tables.

"Sections 3-14.27,10-21.4 and 34-8 of the School Code (105 ILCS 5/3-14.27,10-21.4 and 5/34-8 require all public school district superintendents to report to their regional superintendents the number of high school students who are enrolled in community college courses for which high school credit is awarded. These data are to be provided by the regional superintendents to the State Board of Education in February of each year."

Fox River watershed investigation, Stratton Dam to the Illinois River : water quality issues and data report to the Fox River Study Group, Inc. /

CD-ROM includes corresponding database and GIS datasets.

Solar energy information and data for Illinois /

Cover title.

A rudimentary treatise on coal and coal-mining,

Mode of access: Internet.

Handbook for engineers, architects and builders, containing tables and data appertaining to steel construction.

Mode of access: Internet.

Servo systems and data transmission.

Includes index.

How to locate educational information and data; an aid to quick utilization of the literature of education

Mode of access: Internet.

Noise study, fabrication of noise measuring equipment and data collection and collation program. Interim engineering report no. 16, Sept. 1-Nov. 30, 1952.

Mode of access: Internet.

Fuzzy logic in web data mining for website assessment

This paper proposes a novel application of fuzzy logic to web data mining for two basic problems of a website: popularity and satisfaction. Popularity means that people will visit the website while satisfaction refers to the usefulness of the site. We will illustrate that the popularity of a website is a fuzzy logic problem. It is an important characteristic of a website in order to survive in Internet commerce. The satisfaction of a website is also a fuzzy logic problem that represents the degree of success in the application of information technology to the business. We propose a framework of fuzzy logic for the representation of these two problems based on web data mining techniques to fuzzify the attributes of a website.

Electricity market price spike forecast with data mining techniques

Electricity market price forecast is a changeling yet very important task for electricity market managers and participants. Due to the complexity and uncertainties in the power grid, electricity prices are highly volatile and normally carry with spikes. which may be (ens or even hundreds of times higher than the normal price. Such electricity spikes are very difficult to be predicted. So far. most of the research on electricity price forecast is based on the normal range electricity prices. This paper proposes a data mining based electricity price forecast framework, which can predict the normal price as well as the price spikes. The normal price can be, predicted by a previously proposed wavelet and neural network based forecast model, while the spikes are forecasted based on a data mining approach. This paper focuses on the spike prediction and explores the reasons for price spikes based on the measurement of a proposed composite supply-demand balance index (SDI) and relative demand index (RDI). These indices are able to reflect the relationship among electricity demand, electricity supply and electricity reserve capacity. The proposed model is based on a mining database including market clearing price, trading hour. electricity), demand, electricity supply and reserve. Bayesian classification and similarity searching techniques are used to mine the database to find out the internal relationships between electricity price spikes and these proposed. The mining results are used to form the price spike forecast model. This proposed model is able to generate forecasted price spike, level of spike and associated forecast confidence level. The model is tested with the Queensland electricity market data with promising results. Crown Copyright (C) 2004 Published by Elsevier B.V. All rights reserved.

IJDWM Special Issue: Advances in Data Mining Applications

This special issue is a collection of the selected papers published on the proceedings of the First International Conference on Advanced Data Mining and Applications (ADMA) held in Wuhan, China in 2005. The articles focus on the innovative applications of data mining approaches to the problems that involve large data sets, incomplete and noise data, or demand optimal solutions.