Andere Kunden interessierten sich auch für
![Usability Assessment Method of the Open Source Applications]( "Usability Assessment Method of the Open Source Applications")
Usability Assessment Method of the Open Source Applications32,99 €![Modified Neldermead Simplex Method for Clustering Gene Expression Data]( "Modified Neldermead Simplex Method for Clustering Gene Expression Data")
Modified Neldermead Simplex Method for Clustering Gene Expression Data23,99 €![The Backtracking Method]( "The Backtracking Method")
The Backtracking Method44,99 €![Ensemble Learning for Method-Call Recommendation]( "Ensemble Learning for Method-Call Recommendation")
Ensemble Learning for Method-Call Recommendation16,99 €![A method for development of medical data mining]( "A method for development of medical data mining")
A method for development of medical data mining22,99 €![The implications of RFID on society. An ethical case study using William May's seven-step method for an ethical analysis]( "The implications of RFID on society. An ethical case study using William May's seven-step method for an ethical analysis")
The implications of RFID on society. An ethical case study using William May's seven-step method for an ethical analysis17,95 €![An artificial neural network method]( "An artificial neural network method")
An artificial neural network method44,99 €
Information quality (IQ) theories and frameworks have been increasingly applied to assess, improve and monitor the quality of information products. An important example is the energy domain. Numerous agencies, organizations, institutions, and companies create, collect, and distribute information to help meet the needs of the energy industry. But what are the qualities of their information products? What can be done to address quality issues so that data consumers can trust that the critical data they are relying on are of high quality? To help address these important issues, this work develops the IQ method for combining multiple information sources, each with several dimensions each with its own information quality. The first problem is estimating total world oil reserves by combining estimates obtained from various well-known sources. The second problem is predicting the Hubbert Peak of world oil production by combining prediction data from various sources. Both problems are addressed using the IQ method, an information quality framework that can be applied to a wide range of information assessment problems in the oil industry and beyond.