2019 International Conference on Sustainable Engineering and Creative Computing (ICSECC) 2019
DOI: 10.1109/icsecc.2019.8907010
|View full text |Cite
|
Sign up to set email alerts
|

Big Data Forecasting Applied Nearest Neighbor Method

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
7
0
1

Year Published

2020
2020
2023
2023

Publication Types

Select...
5
3
2

Relationship

2
8

Authors

Journals

citations
Cited by 22 publications
(8 citation statements)
references
References 8 publications
0
7
0
1
Order By: Relevance
“…It is because classification is a method of using data to develop a new computational model in a certain area [6], [7]. The classification procedure employs a precise technique that differs from model to model, and a high level of accuracy is achieved when the accuracy reaches 100% [8]. It signifies that the final model produced good outcomes in terms of model creation using training and testing data.…”
Section: Introductionmentioning
confidence: 99%
“…It is because classification is a method of using data to develop a new computational model in a certain area [6], [7]. The classification procedure employs a precise technique that differs from model to model, and a high level of accuracy is achieved when the accuracy reaches 100% [8]. It signifies that the final model produced good outcomes in terms of model creation using training and testing data.…”
Section: Introductionmentioning
confidence: 99%
“…The use of computers among companies is increasing, especially supported by the competitive environment that has changed from a monopoly to a free market [7]. In various fields, it has also shown benefits with the development of computers and highly advanced information technology [8], [9]. This is evidenced by the emergence of sophisticated technology known as unmanned aerial vehicle (UAV) or more popularly known as "drones" [10].…”
Section: Introductionmentioning
confidence: 99%
“…k-NN is a method for classifying and forecasting objects based on learning data that is closest to the data object carried out by training data [10][11][12]. k-NN is very often found in papers that do forecasting such as reference [13] doing big data forecasting research, which is to predict customers who will be in arrears in credit payments to a bank and the result is a time measurement when the program carries out the forecasting process. In doing forecasting, of course, a learning technique is needed to train the past [14].…”
Section: Introductionmentioning
confidence: 99%