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[PDF] Top 20 Service-mining based on knowledge and customer databases

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Service-mining based on knowledge and customer databases

Service-mining based on knowledge and customer databases

... of knowledge science, knowledge engineering and knowledge management to exchange ideas and to report state-of-the-art re- search ...of knowledge science, engineering and management to provide ... See full document

14

Service-mining based on knowledge and customer databases

Service-mining based on knowledge and customer databases

... three databases: rule base, customer information and knowledge ...and customer information database using the service-mining model to discover potential service patterns ... See full document

6

Improved cost models for agent-based association rule mining in distributed databases

Improved cost models for agent-based association rule mining in distributed databases

... : Knowledge integration is optimized on the data sources by using a new approach - optimized agent-based distributed knowledge integration (ADKI) as opposed to Incremental Knowledge ... See full document

20

CRM Customer Value based on Constrained Sequential Pattern Mining

CRM Customer Value based on Constrained Sequential Pattern Mining

... data mining has become increasingly important for an organization that has large databases of information on ...customers. Customer Relationship Management (CRM) systems are implemented to identify ... See full document

9

A Data Mining Based Approach to Customer Behaviour in an Electronic Settings

A Data Mining Based Approach to Customer Behaviour in an Electronic Settings

... data mining as an approach to predict user behaviour in e-commerce ...extracting knowledge from integrated data of purchase patterns of past users obtainable from web server logs to predict the purchase ... See full document

12

Service Quality of Social Insurance Industry and Customer Satisfaction from Malaysian Perspective: Customer Knowledge as a Moderator

Service Quality of Social Insurance Industry and Customer Satisfaction from Malaysian Perspective: Customer Knowledge as a Moderator

... Traditionally, customer satisfaction supposed to be followed by the model of service quality (Parasuraman et ...perceived service quality by several researchers, but one of the most accepted ... See full document

7

Improving Customer Loyalty Based On Relationship And Service Quality On Networked Store Customer

Improving Customer Loyalty Based On Relationship And Service Quality On Networked Store Customer

... satisfactory service to its customers, then the customers will put great trust to the ...the knowledge about what kinds of benefit they would like to get from the mini-markets that will finally affect the ... See full document

6

ABSTRACT: In recent times, customer behaviour models are typically based on data mining of customer data, and

ABSTRACT: In recent times, customer behaviour models are typically based on data mining of customer data, and

... application, service and channel accessible through these ...trends, customer preferences and other useful information that can help organizations make more-informed business ...customers based on ... See full document

12

ADVANCES IN KNOWLEDGE DISCOVERY IN DATABASES

ADVANCES IN KNOWLEDGE DISCOVERY IN DATABASES

... useful knowledge in raw data involves the sequential adhibition of the following steps: developing an understanding of the application domain, creating a target data set based on an intelligent way of ... See full document

5

Semantic web mining trademark databases

Semantic web mining trademark databases

... Semantic web is a one the concept of web mining. The aim of the project is find a duplicate logo from a large number of logo. This paper presents a method for measuring the semantic similarity between concepts in ... See full document

5

System and a Method for Customer Service Survey Sentiment Classification and Neuro Analysis with Report Mining

System and a Method for Customer Service Survey Sentiment Classification and Neuro Analysis with Report Mining

... --Bo Pang and Lillian Leesurveyed techniques and approaches that promise to directly enable opinion-oriented information-seeking systems. Their focus on methods that seek to address the new challenges raised by ... See full document

7

Data Mining Techniques and their Applications in Biological Databases

Data Mining Techniques and their Applications in Biological Databases

... Data Mining Techniques in Microarrays for Gene expression: Microarrays are one of the latest breakthroughs in experimental molecular biology that allow monitoring the expression levels of tens of thousands of ... See full document

11

Naïve Bayes Classification Approach for Mining Life Insurance Databases for Effective Prediction of Customer Preferences over Life Insurance Products

Naïve Bayes Classification Approach for Mining Life Insurance Databases for Effective Prediction of Customer Preferences over Life Insurance Products

... Data mining methodology can often improve existing actuarial models by finding additional important variables, by identifying interactions, and by detecting nonlinear ...purely based on customer ... See full document

5

Keywords Data Mining, Knowledge Discovery, Direct Marketing, Classification Techniques, Customer Relationship Management

Keywords Data Mining, Knowledge Discovery, Direct Marketing, Classification Techniques, Customer Relationship Management

... In this information age, information leads to power and success. We have been collecting tremendous amounts of information. Initially, with the advent of computers and means for mass digital storage, we started ... See full document

5

Survey on Product Recommendation Using Customer Reviews Based on Opinion Mining

Survey on Product Recommendation Using Customer Reviews Based on Opinion Mining

... Opinion mining is a type of Natural Language Processing (NLP) for tracking the sentiment or thinking of the public about a particular ...Opinion mining, which is also called sentiment analysis, involves ... See full document

9

Association Rule Mining in Horizontally          Distributed Databases

Association Rule Mining in Horizontally Distributed Databases

... original databases and find frequent item sets by reducing mining ...rule mining. This paper also proposed an attack model based on background knowledge of all participants and devise a ... See full document

5

Predictive Analysis through Mining in Distributed Databases

Predictive Analysis through Mining in Distributed Databases

... rule mining is an active data mining research area and most ARM algorithms cater to a centralized ...data mining to discover useful patterns in distributed database is not always feasible because ... See full document

8

Association Rules Mining in Vertically Distributed Databases

Association Rules Mining in Vertically Distributed Databases

... Data mining is the process of analyzing data from different perspectives and summarizing it into useful information that can be used to make proactive, knowledge driven ...Rule mining is one of the ... See full document

8

Evaluating the factors of Customer Trust, Knowledge, Accessibility and High Price in developing Customer Relationship (with special reference to Banking service, Mobile service and hotel and Restaurant service providers)

Evaluating the factors of Customer Trust, Knowledge, Accessibility and High Price in developing Customer Relationship (with special reference to Banking service, Mobile service and hotel and Restaurant service providers)

... different customer relationship strategies in order to develop a long term relationship with its ...is based on research conducted in the various public and private sector companies of Banking services, ... See full document

8

Adopting knowledge discovery in databases for customer relationship management in egyptian public banks

Adopting knowledge discovery in databases for customer relationship management in egyptian public banks

... Next, we present the survey results on the obstacles of adoption of KDD from the point of view of the CRM and IT departments. The CRM department is, in general, not acquainted with KDD. The IT department is not satisfied ... See full document

8

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