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Comparing performance of feedforward neural nets and K-means for cluster-based market segmentation
2 references·16 citing·50 second hop
Comparing performance of feedforward neural nets and K-means for cluster-based market segmentation (1999)Comparing performance of feedforward neur…Issues and Advances in Segmentation Research (1978)Issues and Advances in Segmen…A new approach to market segmentation (1977)A new approach to market segm…Marketing analytics: Methods, practice, implementation, and links to other fields (2018)Marketing analytics: Methods,…Customer segmentation using centroid based and density based clustering algorithms (2017)Customer segmentation using c…An Analysis and Visualization Methodology for Identifying and Testing Market Structure (2016)An Analysis and Visualization…Soft computing applications in customer segmentation: State-of-art review and critique (2013)Soft computing applications i…Customer Segmentation Using Clustering and Data Mining Techniques (2013)Customer Segmentation Using C…Visualizing market segmentation using self-organizing maps and Fuzzy Delphi method – ADSL market of a telecommunication company (2010)Visualizing market segmentati…Integration of data mining technologies to analyze customer value for the automotive maintenance industry (2010)Integration of data mining te…Market orientation and performance: modelling a neural network (2009)Market orientation and perfor…Outlier identification and market segmentation using kernel-based clustering techniques (2008)Outlier identification and ma…Marketing Segmentation Through Machine Learning Models (2008)Marketing Segmentation Throug…Market segmentation based on hierarchical self-organizing map for markets of multimedia on demand (2006)Market segmentation based on …Shelf space assigned to store and national brands (2005)Shelf space assigned to store…Linking innovative product development with customer knowledge: a data-mining approach (2005)Linking innovative product de…Toward a successful CRM: variable selection, sampling, and ensemble (2004)Toward a successful CRM: vari…Retail segmentation using 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this work references cited by second hop

References

  • 1978Issues and Advances in Segmentation Research921 cited
  • 1977A new approach to market segmentation200 cited

Cited by

  • 2005Linking innovative product development with customer knowledge: a data-mining approach202 cited
  • 2002Retail segmentation using artificial neural networks109 cited
  • 2006Market segmentation based on hierarchical self-organizing map for markets of multimedia on demand108 cited
  • 2018Marketing analytics: Methods, practice, implementation, and links to other fields107 cited
  • 2004Toward a successful CRM: variable selection, sampling, and ensemble102 cited
  • 2013Soft computing applications in customer segmentation: State-of-art review and critique86 cited
  • 2013Customer Segmentation Using Clustering and Data Mining Techniques75 cited
  • 2010Visualizing market segmentation using self-organizing maps and Fuzzy Delphi method – ADSL market of a telecommunication company73 cited
  • 2008Outlier identification and market segmentation using kernel-based clustering techniques59 cited
  • 2017Customer segmentation using centroid based and density based clustering algorithms46 cited
  • 2005Shelf space assigned to store and national brands45 cited
  • 2009Market orientation and performance: modelling a neural network45 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2010Integration of data mining technologies to analyze customer value for the automotive maintenance industry44 cited
  • 2002Evaluating the Appropriateness of Market Segmentation Solutions Using Artificial Neural Networks and the Membership Clustering Criterion42 cited
  • 2008Marketing Segmentation Through Machine Learning Models39 cited
  • 2016An Analysis and Visualization Methodology for Identifying and Testing Market Structure34 cited