Results 111 to 120 of about 12,001,140 (314)

A Paradigm for Spreadsheet Engineering Methodologies [PDF]

open access: yesProc. European Spreadsheet Risks Int. Grp. (EuSpRIG) 2004 23-33 ISBN 1 902724 94 1, 2008
Spreadsheet engineering methodologies are diverse and sometimes contradictory. It is difficult for spreadsheet developers to identify a spreadsheet engineering methodology that is appropriate for their class of spreadsheet, with its unique combination of goals, type of problem, and available time and resources.
arxiv  

M.A. rural development methodology paper [PDF]

open access: yes, 2014
Master's Project (M.A.) University of Alaska Fairbanks ...
Freeman, Katie
core  

Changing platforms without stopping the train: experiences of data management and data management systems when adapting platform protocols by adding and closing comparisons

open access: yesTrials, 2019
Background There is limited research and literature on the data management challenges encountered in multi-arm, multi-stage platform and umbrella protocols.
Dominic Hague   +12 more
doaj   +1 more source

Comparative Study of ERP Implementation Methodology Case Study: Accelerated SAP VS Dantes & Hasibuan Methodology [PDF]

open access: yesarXiv, 2013
Enterprise Resource Planning (ERP) system is a concept of enterprise system that describe the integration of the whole process in the organization. Study in this field mostly about external development paradigm on information system development. So, issue in ERP is all about how to adopt it in the organization, not about the application development ...
arxiv  

A methodology for comparing design processes [PDF]

open access: yes, 2003
Engineering Design Centre, University of Cambridge; Design and Innovation, Open UniversityWe gain insights into design processes by recognising similarities to other processes, often in radically different industries.
,   +4 more
core   +1 more source

Empirical and Experimental Insights into Data Mining Techniques for Crime Prediction: A Comprehensive Survey [PDF]

open access: yesarXiv
This survey paper presents a comprehensive analysis of crime prediction methodologies, exploring the various techniques and technologies utilized in this area. The paper covers the statistical methods, machine learning algorithms, and deep learning techniques employed to analyze crime data, while also examining their effectiveness and limitations.
arxiv  

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