Predictive modelling approach to data mining for forecasting electricity consumption

2016 ◽  
Author(s):  
Navjot Kaur ◽  
Amrit Kaur
Keyword(s):  
Data Mining ◽  
Electricity Consumption ◽  
Predictive Modelling ◽  
Modelling Approach

scholarly journals Systematic Methods on Machine Learning Techniques for Clinical Predictive Modelling

2020 ◽  
Vol 9 (5) ◽  
pp. 288-297
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
High Performance ◽  
Predictive Modelling ◽  
Medical Application ◽  
Medical Data ◽  
Machine Learning Techniques ◽  
Screening Process ◽  
Huge Data ◽  
System Data

Predictive modelling is a mathematical technique which uses Statistics for prediction, due to the rapid growth of data over the cloud system, data mining plays a significant role. Here, the term data mining is a way of extracting knowledge from huge data sources where it’s increasing the attention in the field of medical application. Specifically, to analyse and extract the knowledge from both known and unknown patterns for effective medical diagnosis, treatment, management, prognosis, monitoring and screening process. But the historical medical data might include noisy, missing, inconsistent, imbalanced and high dimensional data.. This kind of data inconvenience lead to severe bias in predictive modelling and decreased the data mining approach performances. The various pre-processing and machine learning methods and models such as Supervised Learning, Unsupervised Learning and Reinforcement Learning in recent literature has been proposed. Hence the present research focuses on review and analyses the various model, algorithm and machine learning technique for clinical predictive modelling to obtain high performance results from numerous medical data which relates to the patients of multiple diseases.

A Data Mining Framework for Electricity Consumption Analysis From Meter Data

2011 ◽  
Vol 7 (3) ◽  
pp. 399-407 ◽  
Author(s):  
Daswin De Silva ◽  
Xinghuo Yu ◽  
Damminda Alahakoon ◽  
Grahame Holmes
Keyword(s):  
Data Mining ◽  
Electricity Consumption

scholarly journals Mobile applications in government services (mG-App) from user's perspectives: A predictive modelling approach

2018 ◽  
Vol 35 (4) ◽  
pp. 557-568 ◽  
Author(s):  
Sujeet Kumar Sharma ◽  
Ali Al-Badi ◽  
Nripendra P. Rana ◽  
Laila Al-Azizi
Keyword(s):  
Mobile Applications ◽  
Predictive Modelling ◽  
Government Services ◽  
Modelling Approach
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