Searching for Data Mining Customer Service Support information? Find all needed info by using official links provided below.
https://www.sciencedirect.com/science/article/pii/S0378720600000513
In order to mine the structured data in the customer service database, a data mining process based on the data mining tool, DBMiner was proposed. To support machine fault diagnosis, a data mining technique based on the integration of neural network, case-based reasoning, and …Cited by: 262
https://www.sciencedirect.com/science/article/abs/pii/S0378720600000513
A data mining process, based on the data mining tool DBMiner, was investigated to provide structured management data for decision support. In addition, a data mining technique that integrates neural network, case-based reasoning, and rule-based reasoning is proposed; it would search the unstructured customer service records for machine fault ...Cited by: 262
https://www.researchgate.net/publication/222532116_Data_mining_for_customer_service_support
A data mining process, based on the data mining tool DBMiner, was investigated to provide structured management data for decision support. In addition, a data mining technique that integrates ...
https://www.semanticscholar.org/paper/Data-mining-for-customer-service-support-Hui-Jha/667542d91ed15745247010d91465b50e3062ff76
A data mining process, based on the data mining tool DBMiner, was investigated to provide structured management data for decision support. In addition, a data mining technique that integrates neural network, case-based reasoning, and rule-based reasoning is proposed; it would search the unstructured customer service records for machine fault ...
https://www.deepdyve.com/lp/elsevier/data-mining-for-customer-service-support-0Im1dx1QIt
Oct 01, 2000 · A data mining process, based on the data mining tool DBMiner, was investigated to provide structured management data for decision support. In addition, a data mining technique that integrates neural network, case-based reasoning, and rule-based reasoning is proposed; it would search the unstructured customer service records for machine fault ...
http://isiarticles.com/bundles/Article/pre/pdf/21003.pdf
apply data mining techniques to extract knowledge from the database to support two kinds of customer service activities: decision support and machine fault diagnosis. A data mining process, based on the data mining tool DBMiner, was investigated to provide structured management data for decision support.
http://directory.umm.ac.id/Data%20Elmu/jurnal/I/Information%20and%20Management/Vol38.Issue1.Oct2000/1878.pdf
apply data mining techniques to extract knowledge from the database to support two kinds of customer service activities: decision support and machine fault diagnosis. A data mining process, based on the data mining tool DBMiner, was investigated to provide structured management data for decision support.
http://www.ijesi.org/papers/NCIOT-2018/Volume-4/11.%2062-66.pdf
Data Mining for Customer Service Support One Day National Conference On “Internet Of Things - The Current Trend In Connected World” 63 Page NCIOT-2018 if the problem is resolved. If the problem still persists, the centre will dispatch a service engineer to the
https://www.ngdata.com/data-mining-improves-customer-experience/
Apr 14, 2016 · “The biggest way that data mining improves customer experience is…” The new customer, or customer 2.0, has plenty of choices and in order to win the customers heart and wallet, you need to proactively offer them a relevant product or service.
http://www.customers.com/articles/customer-data-mining/
May 27, 2004 · Data mining is commonly defined as the discovery or the extraction of patterns or models from sets of data. In customer data mining, the data from which patterns or models are discovered or extracted represent the business that you do with your customers, as well as information about them and the relationships that they have with you.
How to find Data Mining Customer Service Support information?
Follow the instuctions below:
- Choose an official link provided above.
- Click on it.
- Find company email address & contact them via email
- Find company phone & make a call.
- Find company address & visit their office.