This paper emphasizes the importance of active marketing in the customer relationship management. Especially, the data mining technology is applied to establish an active marketing model to empirically analyze the condition of the AH Jewelry Company. Michael Porter's Five Forces Model is employed to assess and calculate the similarity in the active marketing model. Then, the questionnaire analy...

Problem statement: Modern companies and organizations are efficiently implementing a CRM strategy for managing a company interactions and relationships with customers. CRM systems have been developed and designed to support the areas of marketing, service process and sales. Many literature studies are available to preserve the customer relationship but small drawbacks occur in the existing meth...

The rise of data mining has brought many changes to people’s lives but also to companies and the importance of data analysis. Companies always had a tendency to gather as much data as possible but it has only been recently due to the developments in IT that large quantities of data can be analyzed in a fast and easy way. This new field gave rise to the methodology of Cross Industry Standard Pro...

Text mining on a large scale that addresses actionable prediction needs to content with noisy information in documents, and with interdependencies between the kinds of NLP techniques applied and the data representation of instances. This paper presents an initial investigation of the impact of improved company mention detection for financial analytics. Coverage of company mention detection impr...

Theoretical review of ‘mining pit lakes’ indicates that like natural lakes such lakes display a huge diversity. They are typically in a non-equilibrium state with respect to their surroundings. Hence, at the decommissioning phase of mining operation a detailed technical study are required on different aspects of such created water bodies considering its morphometry, geology, hydrology, water qu...

This paper proposes a new strategy, referred to as local instance analysis, for multidatabase mining. While many interstate organizations have an imperative need to analyze their data in multi-databases distributed throughout their branches, traditional multi-database mining utilizes the strategies for mono-database mining: pooling all the data from relevant databases into a single dataset for ...

D.R. Spigel1, R.W. Weaver2, M. McCleod3, O. Hamid4, J.R. Stille5, J. Polzer6, S. Roberson5, R. Salgia7 Lung Cancer Research Program, Sarah Cannon Research Institute, Nashville, TN, USA Medical Oncology, Florida Cancer Specialists, St. Petersburg, FL, USA Medical Oncology, Florida Cancer Specialists, Fort Myers, FL, USA Oncology, Eli Lilly and Company, Indianapolis, IN, USA Chorus, Eli Lilly and...

In this paper, an understanding and a review of data mining (DM) development and its applications in logistics and specifically transportation are highlighted. Even though data mining has been successful in becoming a major component of various business processes and applications, the benefits and real-world expectations are very important to consider. It is also surprising to note that very li...

this article proposed a methodology for computer numerical control (CNC) machine scoring. The case study company is a manufacturer of hard disk drive parts in Thailand. In this company, sample of parts manufactured from CNC machine are usually taken randomly for quality inspection. These inspection data were used to make a decision to shut down the machine if it has tendency to produce parts th...