Add to ORKGThe proposed research goal is to assist sales reps in the sales process by predicting the acquisition of profitable potential customers. It investigates the predictive performance of two sources of data: web data and commercially available data. It also investigates the performance of different data mining techniques. Results show that bagged decision trees have the highest accuracy. Web data is better in predicting profitability than commercial data, but combining both is even better.The proposed research goal is to assist sales reps in the sales process by predicting the acquisition of profitable potential customers. It investigates the predictive performance of two sources of data: web data and commercially available data. It also invest...
The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote...
In my work I deal with the issue of data mining and its use in the commercial sphere. Specifically, ...
In this scenario achieving Customer satisfaction is no longer satisfied with a simple listing of mar...
The proposed research goal is to assist sales reps in the sales process by predicting the acquisitio...
The proposed research goal is to assist sales reps in the sales process by predicting the acquisitio...
Sales prediction is an estimate of sales at a future time in certain circumstances and is made based...
We investigate the issue of predicting new customers as profitable based on information about existi...
The thesis you are about to read is the resolution of a Data Mining classification problem. The prob...
Various studies have been presented on sales prediction using datamining technique.The data mining t...
Major industries today are dealing with large amount of data even small shops are no oblivion for th...
Abstract — Data mining is extraction of hidden and predictive information from huge database; it is ...
This master thesis aims to investigate the possibilities of predicting purchase intentions of custom...
Increasing sales results is a desired target for all companies both at home and abroad. The company ...
This master thesis aims to investigate the possibilities of predicting purchase intentions of custom...
Extracting Actionable Knowledge from decision tree is aimed towards providing a novel algorithm whic...
The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote...
In my work I deal with the issue of data mining and its use in the commercial sphere. Specifically, ...
In this scenario achieving Customer satisfaction is no longer satisfied with a simple listing of mar...
The proposed research goal is to assist sales reps in the sales process by predicting the acquisitio...
The proposed research goal is to assist sales reps in the sales process by predicting the acquisitio...
Sales prediction is an estimate of sales at a future time in certain circumstances and is made based...
We investigate the issue of predicting new customers as profitable based on information about existi...
The thesis you are about to read is the resolution of a Data Mining classification problem. The prob...
Various studies have been presented on sales prediction using datamining technique.The data mining t...
Major industries today are dealing with large amount of data even small shops are no oblivion for th...
Abstract — Data mining is extraction of hidden and predictive information from huge database; it is ...
This master thesis aims to investigate the possibilities of predicting purchase intentions of custom...
Increasing sales results is a desired target for all companies both at home and abroad. The company ...
This master thesis aims to investigate the possibilities of predicting purchase intentions of custom...
Extracting Actionable Knowledge from decision tree is aimed towards providing a novel algorithm whic...
The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote...
In my work I deal with the issue of data mining and its use in the commercial sphere. Specifically, ...
In this scenario achieving Customer satisfaction is no longer satisfied with a simple listing of mar...