Knowledge management vs. data mining: Research trend, forecast and citation approach

Tsai, Hsu-Hao

doi:10.1016/j.eswa.2012.12.029

Cited by 29 publications

(14 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Previous research shows that rapid information technology development greatly contributed the development of KM in today's businesses and that integration of KM and DM mining could be a way to overcome the obstacles in efficient implementation of KM (Tsai, 2013). The integrative models of KM and DM are still not investigated enough in marketing decision support, which is a gap addressed in this paper.…”

Section: Literature Reviewmentioning

confidence: 95%

Data Mining as Support to Knowledge Management in Marketing

Zekić–Sušac

Has

2015

Business Systems Research Journal

View full text Add to dashboard Cite

Background: Previous research has shown success of data mining methods in marketing. However, their integration in a knowledge management system is still not investigated enough. Objectives: The purpose of this paper is to suggest an integration of two data mining techniques: neural networks and association rules in marketing modeling that could serve as an input to knowledge management and produce better marketing decisions. Methods/Approach: Association rules and artificial neural networks are combined in a data mining component to discover patterns and customers' profiles in frequent item purchases. The results of data mining are used in a web-based knowledge management component to trigger ideas for new marketing strategies. The model is tested by an experimental research. Results:The results show that the suggested model could be efficiently used to recognize patterns in shopping behaviour and generate new marketing strategies. Conclusions: The scientific contribution lies in proposing an integrative data mining approach that could present support to knowledge management. The research could be useful to marketing and retail managers in improving the process of their decision making, as well as to researchers in the area of marketing modelling. Future studies should include more samples and other data mining techniques in order to test the model generalization ability.

show abstract

Section: Literature Reviewmentioning

confidence: 95%

Data Mining as Support to Knowledge Management in Marketing

Zekić–Sušac

Has

2015

Business Systems Research Journal

View full text Add to dashboard Cite

show abstract

“…Isso permite a visualização que pode acontecer em diferentes níveis acadêmicos, conjeturando a qualidade dessas publicações (Glänzel, Debbacken, Thijs & Schubert, 2006) e permeando no cenário internacional (Smith & Hazelton, 2008). Com isso, é possível saber quais países, territórios, idiomas e áreas de conhecimento se destacam na difusão dessas publicações no contexto científico internacional (Tsai, 2013).…”

Section: Bibliometria E Sociometriaunclassified

Comportamento e Particularidades da Produção Acadêmica do Tema “Contabilidade Gerencial” Divulgada na Base de Dados do ISI WEB of Science Core Collection de 1985 a 2014

Ribeiro

Tavares

2017

REPeC

View full text Add to dashboard Cite

“…The decision making machine profiling is affected by new data which acts as a stimulus with a dynamic continuously changing history with sliding threshold for decision making. This system is proposed and designed with an objective of achieving both system accuracy while maintaining good generalizability properties [14][15][16][17][18]. The overall system is illustrated in Figure 2.…”

Section: Methodsmentioning

confidence: 99%

A novel approach to decision making of Mined Data using Dynamic Snapshot Pattern Recognition Algorithm (DS-PRA)

Iskandarani

2014

TMLAI

View full text Add to dashboard Cite

A new approach to pattern recognition and decision machines profiling is proposed, proved and tested. The technique adopts the Snapshot method dynamically as a function of both organization policy and the organization department's policies. Such policies are associated with individual products and services provided by the organization with departments policies derived from general organization profile with the organization policy being a function of the various department's profiles. It is proved through real data the ability of such algorithm to classify, detect and predict policy changes and identify differences between different organizations. Also, such algorithm combines the concepts of general Artificial intelligence through the use of knowledge bases and Neural Networks by utilizing a similar weights matrix.

show abstract

Knowledge management vs. data mining: Research trend, forecast and citation approach

Cited by 29 publications

References 38 publications

Data Mining as Support to Knowledge Management in Marketing

Data Mining as Support to Knowledge Management in Marketing

Comportamento e Particularidades da Produção Acadêmica do Tema “Contabilidade Gerencial” Divulgada na Base de Dados do ISI WEB of Science Core Collection de 1985 a 2014

A novel approach to decision making of Mined Data using Dynamic Snapshot Pattern Recognition Algorithm (DS-PRA)

Contact Info

Product

Resources

About