Data-mining technologies are within the grasp of many organizations. Commercially available data-mining packages make it relatively easy for firms to transform their data resources into predictive models. Yet, despite technological advances, the precise manner in which data-mining output should be incorporated into an organization’s decision-making processes remains unclear. This paper attempts to clarify the role of data mining by situating it within the context of Simon’s model of decision making. We use a complex decision problem from the video game development industry to illustrate several practical challenges managers face when using data-mining output as a decision making input. We then show how some of these challenges can be overco...
The paper introduces an algorithm that mines logs of user interaction with simulation software. It o...
Organizations are executing operational decisions in fast changing environments, which increases the...
Digital trace data derived from organizations’ information systems represent a wealth of possibiliti...
The amount of data collected by businesses today is phenomenal. The analysis of this data is critica...
Data Mining (DM) technologies have been employed within the specialized domains of customer relation...
Data mining software allows users to analyze large databases to solve business decision problems. Da...
Summary: By investing in data mining applications, an organization can gain a competitive advantage ...
In this paper we present an approach for mining decisions. We show that through the use of a Decisio...
Traditional techniques of data analysis do not enable the solution of all kind of problems and for t...
It is quite common that most of companies’ decisions are made based on feelings, intuitions or perso...
Data mining is the process of extracting useful information from very large data sources. Data minin...
Decision Support System (DSS) is equivalent synonym as management information systems (MIS). Most of...
Computer technology that enhances the intuitive and predictive quality of information is highly attr...
Data mining is a process of finding hidden regularities and connections among data. Base data mining...
Data Mining is a process used in the industry, to facilitate decision making. As the name implies, l...
The paper introduces an algorithm that mines logs of user interaction with simulation software. It o...
Organizations are executing operational decisions in fast changing environments, which increases the...
Digital trace data derived from organizations’ information systems represent a wealth of possibiliti...
The amount of data collected by businesses today is phenomenal. The analysis of this data is critica...
Data Mining (DM) technologies have been employed within the specialized domains of customer relation...
Data mining software allows users to analyze large databases to solve business decision problems. Da...
Summary: By investing in data mining applications, an organization can gain a competitive advantage ...
In this paper we present an approach for mining decisions. We show that through the use of a Decisio...
Traditional techniques of data analysis do not enable the solution of all kind of problems and for t...
It is quite common that most of companies’ decisions are made based on feelings, intuitions or perso...
Data mining is the process of extracting useful information from very large data sources. Data minin...
Decision Support System (DSS) is equivalent synonym as management information systems (MIS). Most of...
Computer technology that enhances the intuitive and predictive quality of information is highly attr...
Data mining is a process of finding hidden regularities and connections among data. Base data mining...
Data Mining is a process used in the industry, to facilitate decision making. As the name implies, l...
The paper introduces an algorithm that mines logs of user interaction with simulation software. It o...
Organizations are executing operational decisions in fast changing environments, which increases the...
Digital trace data derived from organizations’ information systems represent a wealth of possibiliti...