Search Results - ((processing data) OR (processing model))
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1
Local and global measures for measuring performance of big data analytics process
Published 2019“…One pivotal aspect of big data is the process which handles it, mainly referred to as big data analytics (BDA) process. …”
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Thesis -
2
Process oriented data virtualization design model for business processes evaluation (PODVDM) research in progress
Published 2015“…The approach implements process-oriented data warehouse and mining techniques.However, the main issue is providing the right information at the right time to facilitate process evaluation that can be used for performance analysis and improve business process.Existing techniques have limitations, including huge data in database log files, performance of Process Warehouse (PW), which is highly dependent on specific design), complexity of PW design, lack of convergence between business processes and PW specifications, and the need for real data during process evaluation stage.Objects such as processes, storage, and data repositories can be virtualized to address these limitations.The main aim of this study is to propose a process-oriented data virtualization design model for process evaluation in BPM.The model will be validated through expert reviews and prototype development as well as through a case study.In this paper, we describe the research motivation, questions, approach, and methodology related to addressing the described limitations by designing a model for evaluation in business processes using the Data Virtualization technique.…”
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3
Development of a Neural-Fuzzy Model for Machinability Data Selection in Turning Process
Published 2008“…A neural-fuzzy model has been developed to represent machinability data selection in turning process. …”
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4
A new defuzzifying process of type-2 fuzzy data modeling
Published 2020“…In modeling uncertainty complex data that consisted of uncertainty in uncertainty data problem need specific theory to define the data problem. …”
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Proceedings -
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Process Control System Identification
Published 2005“…These models need to address process that is difficult or complex to model using the mathematical or empirical modeling approaches. …”
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Final Year Project -
6
Business metadata with the STA data modelling technique
Published 2011“…STA data model uses business metadata to assist businessperson to participate in business data modelling of a system development process. …”
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Proceeding Paper -
7
A model for processing skyline queries over a database with missing data
Published 2015“…This paper proposed a model to process skyline queries for incomplete data with the aim of avoiding the issue of cyclic dominance in deriving skylines. …”
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A process model for designing performance dashboard using visualization techniques / Muhammad Nasim Bahar
Published 2020“…It is essential to go through a proven process model that includes all aspects of designing a performance dashboard. …”
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Thesis -
9
Porting process model for mobile application
Published 2017“…This process model is timely as the existing software development process models could not able to cater a specific guideline during mobile application porting. …”
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Thesis -
10
Dynamic and fractal approaches to measure business process performance
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11
Use of neural network for modeling of liquid-liquid extraction process in the RDC column
Published 2003“…Several Mathematical Models have been developed for processes involving Rotating Disc Contactor (RDC) Column. …”
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12
Data pre-processing of website browsing records: To prepare quality dataset for web page classification
Published 2024“…The pre-processed data will be used as the input for this model.…”
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Data Pre-processing of Website Browsing Records: To Prepare Quality Dataset for Web Page Classification
Published 2024“…The pre-processed data will be used as the input for this model.…”
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14
An approximation of a multivariative stochastic model for the analysis of longitudinal data
Published 2008“…The model is generalization for univariate longitudinal data given by Taylor et al. (1994). …”
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15
A model for processing skyline queries over a database with missing data
Published 2015“…This paper proposed a model to process skyline queries for incomplete data with the aim of avoiding the issue of cyclic dominance in deriving skylines. …”
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16
Goal-ontology approach for modeling and designing ETL processes
Published 2011“…The data warehouse (DW) system's design involves several tasks such as defining DW requirements, modeling DW schemas, and specifying ETL processes operations, and these have been studied and practiced for many years.However, the common design related problems such as defining user requirements and deriving data integration and transformation activities are far away from being resolved due to the variation and ambiguity of user requirements and the complexity of ETL processes, and these were the fundamental issues of conflicts in heterogeneous information sharing environments.Current approaches are based on existing software requirement methods that have limitations on reconciliation of the user semantics toward the modeling of the DW.This will prolong the process to define the ETL processes specifications accordingly. …”
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17
Neuro-fuzzy modeling of a conveyor-belt grain dryer
Published 2010“…This model can be easily used in control system design to develop a reliable control strategy for the drying process. …”
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Article -
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Data Pre-Processing Techniques For Improving River Water Level Prediction: A Case Study Of The Dungun River, Terengganu, Malaysia
Published 2019“…Three data pre-processing techniques namely; the Variational Mode Decomposition (VMD) method, the Boosting method and the Boosting-VMD method, were adopted to pre-process the observed rainfall series at the basin prior to applying them into the prediction model. …”
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Final Year Project / Dissertation / Thesis -
19
Development of Soft Sensor with Time Difference of Process Variables Approach
Published 2012“…The reasons are usually due to the changes of plant state, catalyst performance loss, sensor or process drift and scale deposition. In order to overcome the degradation of the soft sensors due to process drift, time difference of process variables is proposed to use for the predictive model. …”
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Final Year Project -
20
Efficiency decomposition for two-process production systems with shared inputs in data envelopment analysis
Published 2011“…This paper develops a relational DEA model, taking into account the series relationship among two processes, to measure the overall efficiency of two-process production systems with shared inputs. …”
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