Add to ORKGData Mining (DM) helps deliver tremendous insights for businesses into the problems they face and aids in identifying new opportunities. It further helps businesses to solve more complex problems and make smarter decisions. DM is a potentially powerful tool for companies; however, more research is needed to measure the benefits of DM. This paper represents a study of the effectiveness of DM in a commercial perspective. First, statistical issues are given. It is followed by data accuracy and standardisation. Diverse problems related to the information used for conducting a DM research are identified. Also, the technical challenges and potential roadblocks in an organisation itself are described
Data mining is the process of employing one or more computer learning techniques to automatically an...
The paper presents the Critical success factors for implementing the Customer Relationship Managemen...
Data Mining is a new term for the common practice of searching through data to find patterns, which ...
Managers the world over complain that they are overwhelmed by the amount of data available to them, ...
Data mining (DM) is still a technology having great expectations to enable organizations to take mor...
This research describes a study into the adoption of data mining (DM) techniques and tools in indust...
Data mining (DM) research has successfully developed advanced DM techniques and algorithms over the ...
In recent years, there have been a lot of approaches employed by organizations to satisfy their cust...
Recent advances in data capture, data transmission and data storage technologies have resulted in a ...
Data mining software allows users to analyze large databases to solve business decision problems. Da...
Data mining (DM) is the process of discovering or “mining” new knowledge from large databases and ap...
This paper presents some of the most common commercially available data mining tools, with their mos...
Summary: By investing in data mining applications, an organization can gain a competitive advantage ...
Computer technology that enhances the intuitive and predictive quality of information is highly attr...
Data mining is more and more applied in organizations, but often fails to realize its full potential...
Data mining is the process of employing one or more computer learning techniques to automatically an...
The paper presents the Critical success factors for implementing the Customer Relationship Managemen...
Data Mining is a new term for the common practice of searching through data to find patterns, which ...
Managers the world over complain that they are overwhelmed by the amount of data available to them, ...
Data mining (DM) is still a technology having great expectations to enable organizations to take mor...
This research describes a study into the adoption of data mining (DM) techniques and tools in indust...
Data mining (DM) research has successfully developed advanced DM techniques and algorithms over the ...
In recent years, there have been a lot of approaches employed by organizations to satisfy their cust...
Recent advances in data capture, data transmission and data storage technologies have resulted in a ...
Data mining software allows users to analyze large databases to solve business decision problems. Da...
Data mining (DM) is the process of discovering or “mining” new knowledge from large databases and ap...
This paper presents some of the most common commercially available data mining tools, with their mos...
Summary: By investing in data mining applications, an organization can gain a competitive advantage ...
Computer technology that enhances the intuitive and predictive quality of information is highly attr...
Data mining is more and more applied in organizations, but often fails to realize its full potential...
Data mining is the process of employing one or more computer learning techniques to automatically an...
The paper presents the Critical success factors for implementing the Customer Relationship Managemen...
Data Mining is a new term for the common practice of searching through data to find patterns, which ...