Metallography and metals testing techniques; a compilation.

Mode of access: Internet.

Electromagnetic boundary-value problems based upon a modification of residue calculus and function theoretic techniques /

Mode of access: Internet.

Confuse and control; Soviet techniques in Germany

Mode of access: Internet.

Rape protocol and child interview techniques : a basic guide for professionals who deal with adult and child victims of sexual abuse.

Jointly funded by ILEC Grant no. 2437 & 2915 and the Chicago Community Trust.

Communist infiltration of vital industries and current communist techniques in the Chicago, Ill., area. Hearings before the Committee on Un-American Activities, House of Representatives, Eighty-sixth Congress, first session. May 5, 6, and 7, 1959.

Mode of access: Internet.

Pasture and range research techniques /

Mode of access: Internet.

A practical manual of medical and biological staining techniques

Mode of access: Internet.

Applying ontologies to business and systems modelling techniques and perspectives: Lessons learned

For many years in the area of business systems analysis and design, practitioners and researchers alike have been searching for some comprehensive basis on which to evaluate, compare, and engineer techniques that are promoted for use in the modelling of systems' requirements. To date, while many frameworks, factors, and facets have been forthcoming, none appear to be based on a sound theory. In light of this dilemma, over the last 10 years, attention has been devoted by researchers to the use of ontology to provide some theoretical basis for the advancement of the business systems modelling discipline. This paper outlines how we have used a particular ontology for this purpose over the last five years. In particular we have learned that the understandability and the applicability of the selected ontology must be clear for IS professionals, the results of any ontological evaluation must be tempered by economic efficiency considerations of the stakeholders involved, and ontologies may have to be focused for the business purpose and type of user involved in the modelling situation.

Load profiling and data mining techniques in electricity deregulated market

This paper presents load profiles of electricity customers, using the knowledge discovery in databases (KDD) procedure, a data mining technique, to determine the load profiles for different types of customers. In this paper, the current load profiling methods are compared using data mining techniques, by analysing and evaluating these classification techniques. The objective of this study is to determine the best load profiling methods and data mining techniques to classify, detect and predict non-technical losses in the distribution sector, due to faulty metering and billing errors, as well as to gather knowledge on customer behaviour and preferences so as to gain a competitive advantage in the deregulated market. This paper focuses mainly on the comparative analysis of the classification techniques selected; a forthcoming paper will focus on the detection and prediction methods.