The Experts below are selected from a list of 33 Experts worldwide ranked by ideXlab platform

F White - One of the best experts on this subject based on the ideXlab platform.

  • capture recapture reconnaissance of a Demographic Technique in epidemiology
    Chronic Diseases in Canada, 1997
    Co-Authors: D J Nanan, F White
    Abstract:

    : The objective of this paper is to review capture-recapture (CR) methodology and its usefulness in epidemiology. Capture-recapture is an established and well-accepted sampling tool in wildlife studies, and it has been proposed as a cost-effective Demographic Technique for conducting censuses. However, the application of CR in the field of epidemiology requires consideration of relevant factors such as the nature of the condition under surveillance, its case definition, patient characteristics, reporting source and propensity for misdiagnosis and underdiagnosis. The use of CR in epidemiology has expanded over the last 10 years and no doubt will continue to be adopted. Although it has a role in public health surveillance, a more traditional approach to disease monitoring seems more advantageous in certain instances.

D J Nanan - One of the best experts on this subject based on the ideXlab platform.

  • capture recapture reconnaissance of a Demographic Technique in epidemiology
    Chronic Diseases in Canada, 1997
    Co-Authors: D J Nanan, F White
    Abstract:

    : The objective of this paper is to review capture-recapture (CR) methodology and its usefulness in epidemiology. Capture-recapture is an established and well-accepted sampling tool in wildlife studies, and it has been proposed as a cost-effective Demographic Technique for conducting censuses. However, the application of CR in the field of epidemiology requires consideration of relevant factors such as the nature of the condition under surveillance, its case definition, patient characteristics, reporting source and propensity for misdiagnosis and underdiagnosis. The use of CR in epidemiology has expanded over the last 10 years and no doubt will continue to be adopted. Although it has a role in public health surveillance, a more traditional approach to disease monitoring seems more advantageous in certain instances.

S K Naqvi - One of the best experts on this subject based on the ideXlab platform.

  • Recommendation System Techniques in E- Commerce System
    International Journal of Science and Research (IJSR) ISSN (Online Index Copernicus Value Impact Factor, 2013
    Co-Authors: Mohammad Daoud, S K Naqvi
    Abstract:

    Recommender Systems help consumers navigating through large product miscellany, making decisions in e-commerce environments and overcome information overload. These systems take the behaviour, opinions and tastes of a large group of consumers into account and thus constitutes a social or collaborative recommendation approach. In contrast, content-based Technique depends on product features and textual item descriptions. Knowledge-based Technique, finally, produce item recommendations based on explicit knowledge models from the domain. Demographic Technique purpose to categorize the consumer based on personal aspect and make recommendations based on Demographic classes. Hybrid approach combines two or more Techniques. Marginal utility is economic idea because economists and marketing research use it to discover how much of an item a consumer will purchase. Association rule mining Technique concentrates on the mining of associations over sales data and help shop managers to analyze past transaction data and to improve their future business decisions and recommend products to a consumer on the basis of other consumers' ratings for these products as well as the similarities between this consumer's and other consumers' tastes. This paper encapsulates subjective and objective parameter to design effective recommendation Technique and also present model on cold start problem in e-commerce recommendation system.

Mohammad Daoud - One of the best experts on this subject based on the ideXlab platform.

  • Recommendation System Techniques in E- Commerce System
    International Journal of Science and Research (IJSR) ISSN (Online Index Copernicus Value Impact Factor, 2013
    Co-Authors: Mohammad Daoud, S K Naqvi
    Abstract:

    Recommender Systems help consumers navigating through large product miscellany, making decisions in e-commerce environments and overcome information overload. These systems take the behaviour, opinions and tastes of a large group of consumers into account and thus constitutes a social or collaborative recommendation approach. In contrast, content-based Technique depends on product features and textual item descriptions. Knowledge-based Technique, finally, produce item recommendations based on explicit knowledge models from the domain. Demographic Technique purpose to categorize the consumer based on personal aspect and make recommendations based on Demographic classes. Hybrid approach combines two or more Techniques. Marginal utility is economic idea because economists and marketing research use it to discover how much of an item a consumer will purchase. Association rule mining Technique concentrates on the mining of associations over sales data and help shop managers to analyze past transaction data and to improve their future business decisions and recommend products to a consumer on the basis of other consumers' ratings for these products as well as the similarities between this consumer's and other consumers' tastes. This paper encapsulates subjective and objective parameter to design effective recommendation Technique and also present model on cold start problem in e-commerce recommendation system.

Vijay Korra - One of the best experts on this subject based on the ideXlab platform.