We will introduce a knowledge discovery system developed on the World Wide Web platform in this paper. Its algorithm is based on Fuzzy Inductive Learning Method (FILM), which can segment consumers\u27 behavior from a set of customer data with noises. In a visualization way, the system will present the acquired knowledge as a set of IF-THEN rules that can be run on top of an expert system. Moreover, the system will provide advices in response to a user\u27s request through the network and a friendly user interface. At last, we evaluate the function of the system by training it with a transaction database provided by a local automobile dealer
This paper presents a data mining study that aims to identify potential high-value visitors for a dr...
The objective of this paper is to analyze web transaction log data that reveal customer behavior in ...
Nowadays the fact that technology facilitates data collection is an important opportunity, as well a...
Customer segmentation has been widely used in different businesses and plays important rules in cust...
Web mining is the extraction of interesting and potentially useful patterns and hidden information f...
13th International FLINS Conference on Uncertainity Modeling in Knowledge Engineering and Decision M...
The paper focuses on the usage of data-mining techniques as a support tool for decision making. This...
In this thesis, the process of developing an application for segmenting customers with the use of ma...
The primary concern of the companies working with many customers is proper customer segmentation, i....
In this scenario achieving Customer satisfaction is no longer satisfied with a simple listing of mar...
Many small online outlets and newcomers to the online retail territories are keen to record and prom...
AbstractThe rising popularity of electronic commerce makes data mining an indispensable technology f...
Data analytics techniques are widely used in customer segmentation, which groups objects according t...
Online business competition is very tight. One strategy that can be done is to retain customers. By ...
Consumers are the most important asset of any organization. The commercial activity of an organizati...
This paper presents a data mining study that aims to identify potential high-value visitors for a dr...
The objective of this paper is to analyze web transaction log data that reveal customer behavior in ...
Nowadays the fact that technology facilitates data collection is an important opportunity, as well a...
Customer segmentation has been widely used in different businesses and plays important rules in cust...
Web mining is the extraction of interesting and potentially useful patterns and hidden information f...
13th International FLINS Conference on Uncertainity Modeling in Knowledge Engineering and Decision M...
The paper focuses on the usage of data-mining techniques as a support tool for decision making. This...
In this thesis, the process of developing an application for segmenting customers with the use of ma...
The primary concern of the companies working with many customers is proper customer segmentation, i....
In this scenario achieving Customer satisfaction is no longer satisfied with a simple listing of mar...
Many small online outlets and newcomers to the online retail territories are keen to record and prom...
AbstractThe rising popularity of electronic commerce makes data mining an indispensable technology f...
Data analytics techniques are widely used in customer segmentation, which groups objects according t...
Online business competition is very tight. One strategy that can be done is to retain customers. By ...
Consumers are the most important asset of any organization. The commercial activity of an organizati...
This paper presents a data mining study that aims to identify potential high-value visitors for a dr...
The objective of this paper is to analyze web transaction log data that reveal customer behavior in ...
Nowadays the fact that technology facilitates data collection is an important opportunity, as well a...
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