The process of historical data analysis through data mining has proven valuable for the industrial environment. There are many models available that describe the in-house process of data mining. However, many companies either do not have in-house skills or do not wish to invest in performing in-house data mining. This paper investigates the applicability of two well-established data mining proc...

Process mining enables multiple types of process analysis based on event data. In many scenarios, there are interesting subsets of cases that have deviations or that are delayed. Identifying such subsets and comparing process mining results is a key step in any process mining project. We aim to find the statistically most interesting patterns of a subset of cases. These subsets can be created b...

The paper approaches certain aspects regarding the involvement of the banking and industrial capital in the development and modernization of gold mining during the existence of „Mica” Company (1920-1948). The paper presents the political and economic factors contributing to the positive results in the field. It also provides examples of the way in which the banking and industrial capital was in...

[The history of Australian company law has attracted remarkably little attention in academic literature, perhaps because it has mainly been seen as a copy of English law with few, if any, noteworthy features. This article points out several interesting and significant aspects of the evolution of Australian company law and considers this evolution in the context of the economic development of co...

Customer Service Management is one of major business activities to better serve company customers through the introduction of reliable processes and procedures. Today this kind of activities is implemented through e-services to directly involve customers into business processes. Traditionally Customer Service Management involves application of data mining techniques to discover usage patterns f...

The direct-marketing business process applied in Slovenian publishing company was inefficient because of inadequate procedure used to create a list of potential customers for a marketing campaign. Considering the nature of the problem, data mining was selected to solve the problem. The company’s direct marketing business process was renovated based on the CRISP-DM methodology and by using data ...

Wide ranges of companies have deployed successful applications of data mining. While early adopters of this technology have tended to be in information-intensive industries such as financial services and direct mail marketing the technology is applicable to any company looking to leverage a large data warehouse to better manage their customer relationships. Two critical factors for success with...

A data cutting and sorting method (DCSM) is proposed to optimize the performance of data mining. DCSM reduces the calculation time by getting rid of redundant data during the data mining process. In addition, DCSM minimizes the computational units by splitting the database and by sorting data with support counts. In the process of searching for the relationship between metabolic syndrome and li...

The process of historical data analysis through data mining has proven to be of value for the industrial environment. There are many models available which describe the inhouse process of data mining. However, many companies either do not have the inhouse skills or do not wish to invest in performing inhouse data mining. This research investigates the applicability of two well-established data ...