Matches in SemOpenAlex for { <https://semopenalex.org/work/W2897516981> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W2897516981 endingPage "1698" @default.
- W2897516981 startingPage "1698" @default.
- W2897516981 abstract "<p class='IJASEITAbtract'>Malaysia citizens are categorised into three different income groups which are the Top 20 Percent (T20), Middle 40 Percent (M40), and Bottom 40 Percent (B40). One of the focus areas in the Eleventh Malaysia Plan (11MP) is to elevate the B40 household group towards the middle-income society. Based on recent studies by the World Bank, Malaysia is expected to enter the high-income economy status no later than the year 2024. Thus, it is essential to clarify the B40 population through a predictive classification as a prerequisite towards developing a comprehensive action plan by the government. This paper is aimed at identifying the best machine learning models using Naive Bayes, Decision Tree and k-Nearest Neighbors algorithm for classifying the B40 population. Several data pre-processing task such as data cleaning, feature engineering, normalisation, feature selection: Correlation Attribute, Information Gain Attribute and Symmetrical Uncertainty Attribute and sampling methods using SMOTE has been conducted to the raw dataset to ensure the quality of the training data. Each classifier is then optimized using different tuning parameter with 10-Fold Cross Validation for achieving the optimal values before the performance of the three classifiers are compared to each other. For the experiments, a dataset from National Poverty Data Bank called eKasih obtained from the Society Wellbeing Department, Implementation Coordination Unit of Prime Minister's Department (ICU JPM), consisting of 99,546 households from 3 different states: Johor, Terengganu and Pahang are used to train each of the machine learning model. The experimental results using 10-Fold Cross-Validation method demonstrates that the overall performance of Decision Tree model outperformed the other models and the significance test specified the result is statistically significance." @default.
- W2897516981 created "2018-10-26" @default.
- W2897516981 creator A5005045216 @default.
- W2897516981 creator A5019776278 @default.
- W2897516981 creator A5021712256 @default.
- W2897516981 creator A5042883130 @default.
- W2897516981 creator A5080382393 @default.
- W2897516981 date "2018-09-30" @default.
- W2897516981 modified "2023-10-11" @default.
- W2897516981 title "Machine Learning Approach for Bottom 40 Percent Households (B40) Poverty Classification" @default.
- W2897516981 cites W1483588953 @default.
- W2897516981 cites W1569314089 @default.
- W2897516981 cites W1570448133 @default.
- W2897516981 cites W1785985788 @default.
- W2897516981 cites W1930161385 @default.
- W2897516981 cites W1978807181 @default.
- W2897516981 cites W2081430599 @default.
- W2897516981 cites W2095705004 @default.
- W2897516981 cites W2099404476 @default.
- W2897516981 cites W2167101736 @default.
- W2897516981 cites W2208550830 @default.
- W2897516981 cites W2287361779 @default.
- W2897516981 cites W2337921303 @default.
- W2897516981 cites W2474340539 @default.
- W2897516981 cites W2510620627 @default.
- W2897516981 cites W2550799235 @default.
- W2897516981 cites W2566521523 @default.
- W2897516981 cites W2606694865 @default.
- W2897516981 cites W2614183994 @default.
- W2897516981 cites W2618664557 @default.
- W2897516981 cites W2754919765 @default.
- W2897516981 cites W2776146695 @default.
- W2897516981 cites W2781706885 @default.
- W2897516981 cites W2800788706 @default.
- W2897516981 doi "https://doi.org/10.18517/ijaseit.8.4-2.6829" @default.
- W2897516981 hasPublicationYear "2018" @default.
- W2897516981 type Work @default.
- W2897516981 sameAs 2897516981 @default.
- W2897516981 citedByCount "21" @default.
- W2897516981 countsByYear W28975169812019 @default.
- W2897516981 countsByYear W28975169812020 @default.
- W2897516981 countsByYear W28975169812021 @default.
- W2897516981 countsByYear W28975169812022 @default.
- W2897516981 countsByYear W28975169812023 @default.
- W2897516981 crossrefType "journal-article" @default.
- W2897516981 hasAuthorship W2897516981A5005045216 @default.
- W2897516981 hasAuthorship W2897516981A5019776278 @default.
- W2897516981 hasAuthorship W2897516981A5021712256 @default.
- W2897516981 hasAuthorship W2897516981A5042883130 @default.
- W2897516981 hasAuthorship W2897516981A5080382393 @default.
- W2897516981 hasBestOaLocation W28975169811 @default.
- W2897516981 hasConcept C119857082 @default.
- W2897516981 hasConcept C12267149 @default.
- W2897516981 hasConcept C144024400 @default.
- W2897516981 hasConcept C149923435 @default.
- W2897516981 hasConcept C154945302 @default.
- W2897516981 hasConcept C162324750 @default.
- W2897516981 hasConcept C169258074 @default.
- W2897516981 hasConcept C189326681 @default.
- W2897516981 hasConcept C2908647359 @default.
- W2897516981 hasConcept C41008148 @default.
- W2897516981 hasConcept C50522688 @default.
- W2897516981 hasConcept C52001869 @default.
- W2897516981 hasConcept C84525736 @default.
- W2897516981 hasConcept C95623464 @default.
- W2897516981 hasConceptScore W2897516981C119857082 @default.
- W2897516981 hasConceptScore W2897516981C12267149 @default.
- W2897516981 hasConceptScore W2897516981C144024400 @default.
- W2897516981 hasConceptScore W2897516981C149923435 @default.
- W2897516981 hasConceptScore W2897516981C154945302 @default.
- W2897516981 hasConceptScore W2897516981C162324750 @default.
- W2897516981 hasConceptScore W2897516981C169258074 @default.
- W2897516981 hasConceptScore W2897516981C189326681 @default.
- W2897516981 hasConceptScore W2897516981C2908647359 @default.
- W2897516981 hasConceptScore W2897516981C41008148 @default.
- W2897516981 hasConceptScore W2897516981C50522688 @default.
- W2897516981 hasConceptScore W2897516981C52001869 @default.
- W2897516981 hasConceptScore W2897516981C84525736 @default.
- W2897516981 hasConceptScore W2897516981C95623464 @default.
- W2897516981 hasIssue "4-2" @default.
- W2897516981 hasLocation W28975169811 @default.
- W2897516981 hasOpenAccess W2897516981 @default.
- W2897516981 hasPrimaryLocation W28975169811 @default.
- W2897516981 hasRelatedWork W3032901101 @default.
- W2897516981 hasRelatedWork W3204641204 @default.
- W2897516981 hasRelatedWork W4285407528 @default.
- W2897516981 hasRelatedWork W4289812785 @default.
- W2897516981 hasRelatedWork W4312632137 @default.
- W2897516981 hasRelatedWork W4313070894 @default.
- W2897516981 hasRelatedWork W4383746529 @default.
- W2897516981 hasRelatedWork W4385864139 @default.
- W2897516981 hasRelatedWork W4386390815 @default.
- W2897516981 hasRelatedWork W4386984454 @default.
- W2897516981 hasVolume "8" @default.
- W2897516981 isParatext "false" @default.
- W2897516981 isRetracted "false" @default.
- W2897516981 magId "2897516981" @default.
- W2897516981 workType "article" @default.