In a practical project a statistical analysis of the Web log files of the domain www.volkswagen.de was carried out by using the CRISP-DM procedure. For the preprocessing phase, more profound findings could be gained than are usually described in many studies. Since the aim was to deduce significant statements while measuring the effect, tests of significance for e-metrics were used in addition ...

This paper summarizes the development of a data mining solution for business intelligence applied to the channel detail in a soft drink industry. The aim is to develop the analysis, design and construction of a solution based on the guidelines on the CRISP-DM methodology. The solution of business intelligence used has a data mart with consolidate information, which allows users to quickly acces...

This paper presents a tool for web usage mining. The aim is centered on providing a tool that facilitates the mining process rather than implement elaborated algorithms and techniques. The tool covers different phases of the CRISP-DM methodology as data preparation, data selection, modeling and evaluation. The algorithms used in the modeling phase are those implemented in the Weka project. The ...

Ajie Prasetya. 201910225132. Analisis cluster k-means dengan metode siku untuk menentukan pola penjualan produk traffic room summarecon mal bekasi. Bekasi: Fakultas Ilmu Komputer. Universitas Bhayangkara Jakarta Raya. 2023
 
 Strategi yang efektif dalam bisnis ritel fashion sangatlah penting keberhasilan perusahaan atau toko. Seperti toko Traffic Room yaitu vintage menjual berbagai ma...

Capacity planning in the regeneration of complex capital goods faces major challenges because it is affected by a high level of uncertain workload information. A methodology is developed here to predict the regeneration workload on the basis of the CRISP-DM model using Bayesian networks. The forecasts are validated for the different capacity planning levels. The results support the conclusion t...

This research report is written for attendance of DMC 2002. (See [8]) It was written following the CRISP-DM (CRISPData Mining) [1] Methodology: Business understanding, Data Understanding, Data Preparation, Modeling and Evaluation. Two popular data mining software products are used: DISCOVERER is mainly used for data preparation and modeling. WEKA is used to feature selection. At the last part o...

This paper reports two projects for supporting decisions of the Company of Electricity in Azores Islands, Electricidade dos Açores. There were several decisions to support, such as whether communications between islands should moved from the present telephone lines to VoIP, and if better models to support forecast power consumption should be adopted. The solution established integrates OLAP cub...

Early stage startup would conduct ideation, problem solving, and market research. One of the stages in research is segmentation. Normally, early startups do not have enough resources, thus many processes are done manually. This encourages inacurracies lessen objectiveness evaluating situation which important for growth startups. focuses on developing a machine learning based application The fra...

Abstract— ERP systems contain huge amounts of data related to the actual execution of business processes. These systems have a particular way of recording activities which results in an unclear display of business processes in event logs. Several works have been conducted on ERP systems, most of them focusing on the development of new algorithms for the automatic discovery of business processes...