subject:(Data Mining Procedure)

Brno University of Technology

1. Bažant, Milan. Automatizace chyb objednávkového systému: Automation of ordering system errors.

Degree: 2019, Brno University of Technology

► The bachelor thesis focuses on the creation of the automatic error cleansing software which clears the errors generated by the ordering system. Based on the… (more)

Subjects/Keywords: Analýza; cyklus; databázový link; datový sklad; dolování dat; integrace; nástroj; objednávka; primární klíč; procedura; stav; tabulka; zákazník; Analysis; cykle; database link; data warehouse; data mining; integration; tool; order; primary key; procedure; state; table; customer

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Bažant, M. (2019). Automatizace chyb objednávkového systému: Automation of ordering system errors. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/28101

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Bažant, Milan. “Automatizace chyb objednávkového systému: Automation of ordering system errors.” 2019. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/28101.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Bažant, Milan. “Automatizace chyb objednávkového systému: Automation of ordering system errors.” 2019. Web. 23 Apr 2021.

Vancouver:

Bažant M. Automatizace chyb objednávkového systému: Automation of ordering system errors. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/28101.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bažant M. Automatizace chyb objednávkového systému: Automation of ordering system errors. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/28101

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Brno University of Technology

2. Bažant, Milan. Software pro detekci,analýzu a opravu kolizních objednávek v CRM systému: Software for Detecting, Analysing and Correcting of Conflict Orders in CRM.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/4250

► The master's thesis focuses on the creation of the automatic error cleansing software which clears the errors generated by the ordering system. Based on the… (more)

Subjects/Keywords: Analýza; databázový link; datový sklad; dolování dat; integrace; nástroj; objednávka; primární klíč; oracle streams; procedura; tabulka; zákazník; Analysis; database link; data warehouse; data mining; integration; tool; order; primary key; oracle streams; procedure; table; customer

Record Details Similar Records Cite « Share

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Bažant, M. (2019). Software pro detekci,analýzu a opravu kolizních objednávek v CRM systému: Software for Detecting, Analysing and Correcting of Conflict Orders in CRM. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/4250

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Bažant, Milan. “Software pro detekci,analýzu a opravu kolizních objednávek v CRM systému: Software for Detecting, Analysing and Correcting of Conflict Orders in CRM.” 2019. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/4250.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Bažant, Milan. “Software pro detekci,analýzu a opravu kolizních objednávek v CRM systému: Software for Detecting, Analysing and Correcting of Conflict Orders in CRM.” 2019. Web. 23 Apr 2021.

Vancouver:

Bažant M. Software pro detekci,analýzu a opravu kolizních objednávek v CRM systému: Software for Detecting, Analysing and Correcting of Conflict Orders in CRM. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/4250.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bažant M. Software pro detekci,analýzu a opravu kolizních objednávek v CRM systému: Software for Detecting, Analysing and Correcting of Conflict Orders in CRM. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/4250

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of South Florida

3. Davila, Marbelly Paola. A Methodology for Scheduling Operating Rooms Under Uncertainty.

Degree: 2013, University of South Florida

URL: https://scholarcommons.usf.edu/etd/4463

► An operating room (OR) is considered to be one of the most costly functional areas within hospitals as well as its major profit center. It… (more)

▼ An operating room (OR) is considered to be one of the most costly functional areas within hospitals as well as its major profit center. It is known that managing an OR department is a challenging task, which requires the integration of many actors (e.g., patients, surgeons, nurses, technicians) who may have conflicting interests and priorities. Considering these aspects, this dissertation focuses on developing a simulation based methodology for scheduling operating rooms under uncertainty, which reflects the complexity, uncertainty and variability associated with surgery. We split the process of scheduling ORs under uncertainty into two main components. First, we designed a research roadmap for modeling surgical procedure duration (from incision to wound closure) based on the surgery volume and time variability. Then, using a real surgical dataset we modeled the procedure duration using parametric and distribution-free predictive methods. We found that Support Vector Regression performs better that Generalized Linear Models increasing the prediction accuracy on unseen data by at least 5.5%. Next, we developed a simulation based methodology for scheduling ORs through a case study. For that purpose, we initially built one day feasible schedules using the 60th, 70th, 80th, and 90th percentiles to allocate surgical procedures to ORs using four different allocation policies. We then used a discrete event simulation model to evaluate the robustness of these initial feasible schedules considering the stochastic duration of all the OR activities and the arrival of surgical emergency cases. We found that on average elective waiting almost doubled the time for the emergency cases. In addition, we observed that there is not a clear effect of how being more conservative in scheduling within each scheduling policy impacts the elective waiting times. By contrast, there is a clear effect of how the scheduling policy and scheduling percentile impact the emergency waiting times. Thus, as we increase the percentile, the waiting times for emergency cases remarkably increases under half of the scheduling policies but reflects a lesser impact under scheduling the other half. OR utilization and OR overtime in a "virtual" eight operating room hospital fluctuate between 67% and 88% and 97 and 111 minutes respectively. Moreover, we noticed that both performance metrics depend not only on the levels of the scheduling policy and scheduling percentile but also are strongly affected by the increase of the emergency arrival rate. Finally, we fit a multivariate-multiple-regression model using the output of the simulation model to assess the robustness of the model and the extent to which these results can be generalized to a single, aggregate hospital goal. Further research should include a true stochastic optimization model to integrate optimization techniques into simulation analysis.

Subjects/Keywords: Data mining; Simulation; Stochastic procedure duration; Support Vector Regression; Surgical Data; Industrial Engineering; Medicine and Health Sciences; Operational Research

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Davila, M. P. (2013). A Methodology for Scheduling Operating Rooms Under Uncertainty. (Thesis). University of South Florida. Retrieved from https://scholarcommons.usf.edu/etd/4463

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Davila, Marbelly Paola. “A Methodology for Scheduling Operating Rooms Under Uncertainty.” 2013. Thesis, University of South Florida. Accessed April 23, 2021. https://scholarcommons.usf.edu/etd/4463.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Davila, Marbelly Paola. “A Methodology for Scheduling Operating Rooms Under Uncertainty.” 2013. Web. 23 Apr 2021.

Vancouver:

Davila MP. A Methodology for Scheduling Operating Rooms Under Uncertainty. [Internet] [Thesis]. University of South Florida; 2013. [cited 2021 Apr 23]. Available from: https://scholarcommons.usf.edu/etd/4463.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Davila MP. A Methodology for Scheduling Operating Rooms Under Uncertainty. [Thesis]. University of South Florida; 2013. Available from: https://scholarcommons.usf.edu/etd/4463

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

4. Liu, Peng. Adaptive Mixture Estimation and Subsampling PCA.

Degree: PhD, Sciences, 2009, Case Western Reserve University School of Graduate Studies

URL: http://rave.ohiolink.edu/etdc/view?acc_num=case1220644686

► Data mining is important in scientific research, knowledge discovery and decision making. A typical challenge in data mining is that a data set may be… (more)

Subjects/Keywords: Statistics; large data; data mining; mixture models; Gaussian mixtures; parameter estimation; adaptive procedure; partial EM; high-dimensional data; large p small n; dimension reduction; feature selection; subsampling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Liu, P. (2009). Adaptive Mixture Estimation and Subsampling PCA. (Doctoral Dissertation). Case Western Reserve University School of Graduate Studies. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1220644686

Chicago Manual of Style (16^th Edition):

Liu, Peng. “Adaptive Mixture Estimation and Subsampling PCA.” 2009. Doctoral Dissertation, Case Western Reserve University School of Graduate Studies. Accessed April 23, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1220644686.

MLA Handbook (7^th Edition):

Liu, Peng. “Adaptive Mixture Estimation and Subsampling PCA.” 2009. Web. 23 Apr 2021.

Vancouver:

Liu P. Adaptive Mixture Estimation and Subsampling PCA. [Internet] [Doctoral dissertation]. Case Western Reserve University School of Graduate Studies; 2009. [cited 2021 Apr 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1220644686.

Council of Science Editors:

Liu P. Adaptive Mixture Estimation and Subsampling PCA. [Doctoral Dissertation]. Case Western Reserve University School of Graduate Studies; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1220644686

NSYSU

5. Pan, Bo-Hong. Reliability Analysis and Multi-objective Optimization for Electronic Packaging by using Artificial Neural Network Algorithms and Genetic Algorithms.

Degree: Master, Mechanical and Electro-Mechanical Engineering, 2018, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0804118-162733

► In recent years, due to the rapid development of computational science, software, and the internet, the popularity of storage device and high-capacity make the computational… (more)

Subjects/Keywords: Artificial Neural Network Algorithms; Genetic Algorithms; Multi-objective Optimization; Big Data; Data Mining Procedure

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Pan, B. (2018). Reliability Analysis and Multi-objective Optimization for Electronic Packaging by using Artificial Neural Network Algorithms and Genetic Algorithms. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0804118-162733

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Pan, Bo-Hong. “Reliability Analysis and Multi-objective Optimization for Electronic Packaging by using Artificial Neural Network Algorithms and Genetic Algorithms.” 2018. Thesis, NSYSU. Accessed April 23, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0804118-162733.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Pan, Bo-Hong. “Reliability Analysis and Multi-objective Optimization for Electronic Packaging by using Artificial Neural Network Algorithms and Genetic Algorithms.” 2018. Web. 23 Apr 2021.

Vancouver:

Pan B. Reliability Analysis and Multi-objective Optimization for Electronic Packaging by using Artificial Neural Network Algorithms and Genetic Algorithms. [Internet] [Thesis]. NSYSU; 2018. [cited 2021 Apr 23]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0804118-162733.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pan B. Reliability Analysis and Multi-objective Optimization for Electronic Packaging by using Artificial Neural Network Algorithms and Genetic Algorithms. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0804118-162733

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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