نتایج جستجو برای: planning and mining

تعداد نتایج: 16869908  

2005
Wil M. P. van der Aalst

Process mining techniques allow for extracting information from event logs. For example, the audit trails of a workflow management system or the transaction logs of an enterprise resource planning system can be used to discover models describing processes, organizations, and products. Traditionally, process mining has been applied to structured processes. In this paper, we argue that process mi...

Journal: :Journal of the Southern African Institute of Mining and Metallurgy 2018

2000
Wiktor Daszczuk Piotr Gawrysiak Tomasz Gerszberg Marzena Kryszkiewicz Tomasz Traczyk Zbigniew Walczak

This paper is an overview of a Data Mining project carried out by the Warsaw University of Technology in the Network Planning and Maintenance Department of a Polish cellular telecom provider. This project has provided an excellent opportunity to test various Data Mining methods on real, non-classic (i.e. mostly not related to purely marketing problems) data from the technology area. In this pap...

Journal: :Advanced Engineering Informatics 2007
Wil M. P. van der Aalst

Process mining techniques allow for extracting information from event logs. For example, the audit trails of a workflow management system or the transaction logs of an enterprise resource planning system can be used to discover models describing processes, organizations, and products. Traditionally, process mining has been applied to structured processes. In this paper, we argue that process mi...

2012
Sunil Bhaskaran Sheng Chang Wynne Hsu Mong Li Lee Jose Zubcoff Jesús Pardillo Xiao Hu Peng Xu Shaozhi Wu Shadnaz Asgari Marvin Bergsneider Zhe Song Xiulin Geng Andrew Kusiak Chun-Hao Chen Tzung-Pei Hong Vincent S. Tseng Huei-Wen Wu Anthony J. T. Lee

Our society is increasingly influenced by modern information and communication technology (ICT), Data warehouse, data mining and time series data mining etc. Time series data mining can be treated as a subset of data mining domain. The nature of time series data is large data size, high dimensionality and necessary to update continuously. Time series data mining (TSDM) is a rapidly evolving res...

Journal: :the international journal of humanities 2004
kamaleddin sheikholeslami salmasi hamid etemad

mining and metallurgical projects are among those that require the most sizeable invest-ments undertaken in iran. one target of the current development plan and the ministry of mines and industries has been to attract foreign investment in mining projects. a survey of world-class mining companies was conducted to determine their expectations and in order to recommend a frame work for iran aimed...

Journal: :Journal of biomedical informatics 2007
Nada Lavrac Marko Bohanec Aleksander Pur Bojan Cestnik Marko Debeljak Andrej Kobler

This paper proposes an innovative use of data mining and visualization techniques for decision support in planning and regional-level management of Slovenian public health-care. Data mining and statistical techniques were used to analyze databases collected by a regional Public Heath Institute. We also studied organizational aspects of public health resources in the selected Celje region with t...

Journal: : 2023

The article considers the problem of planning optimal loading freight trains on a limited railway network – mining company. Two variants are illustrated. In first variant only one type locomotives operates network. second there different types locomotives. lo-comotives determined by their carrying capacity. algorithm scheduling multiple in is combination solutions for particular problems each l...

2001
Qin Ding William Perrizo Qiang Ding Amalendu Roy

Advanced data mining technologies and the large quantities of Remotely Sensed Imagery provide a data mining opportunity with high potential for useful results. Extracting interesting patterns and rules from data sets composed of images and associated ground data, can be of importance in precision agriculture, community planning, resource discovery and other areas. However, in most cases the ima...

2012
Bai-En Shie Ji-Hong Cheng Kun-Ta Chuang Vincent S. Tseng

Mobile sequential pattern mining is an emerging topic in data mining fields with wide applications, such as planning mobile commerce environments and managing online shopping websites. However, an important factor, i.e., actual utilities (i.e., profit here) of items, is not considered and thus some valuable patterns cannot be found. Therefore, previous researches [8, 9] addressed the problem of...

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