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student performance prediction based on data mining classification

Several statistical and machine learning algorithms have been proposed for the model. Keywords: Student performance, ID3, C4.5, CART, classification, Education data mining. private University in Northern part of Nigeria, on the sampling

Machine Learning In Nigeria, Today ? - Towards Data Science

16 Jul 2017 Can Machine Learning solve these in Nigeria today? This is features and user experience with image recognition, classification and tagging.

(PDF) DATA MINING OF NIGERIANS' SENTIMENTS ON THE

8 Dec 2016 The simple but powerful Naïve Bayes (NB) classifier was adopted to classify the various tweets . 2 Department of Computer Science, University of Ilorin, Ilorin, Nigeria . Machines (SVM) ([B+15]), decision tree, neural.

Data Mining Driven Models for Diagnosis of Diabetes Mellitus: A

Finding: The result of the study showed that, classification data mining task has been used classification data mining algorithms are Support Vector Machine and Ogbera AO, Ekpebegh C. Diabetes mellitus in Nigeria: The past, present and

Stratified Diabetes Mellitus Prevalence for the Northwestern - MDPI

24 Oct 2019 data mining techniques for the classification and identification of the prevalence of Keywords: age; gender; diabetes mellitus; Nigeria; classification; approach, which constitutes machine learning 60%, statistics 35% and

Text Mining with Machine Learning: Principles and Techniques

Text Mining with Machine Learning: Principles and Techniques - CRC Press Book. Text Mining: Classification, Clustering, and Applications

using data-mining technique for census analysis to - IOSR Journal

*Computer Science Department,Anambra State University Uli,Nigeria your data using pattern recognition technologies such as neural networks machine This decision generates rules for the classification of a dataset (Gajendra, 2008).

Brief Review of Educational Applications Using Data Mining and

Data mining and machine learning are two computing disciplines that enable analysis of huge data . In order to perform their task (classification, prediction, recognition, clustering, .. at the Ladoke Akintola University of Technology, Nigeria.

Data mining approach for predicting the daily Internet data traffic of a

4 Feb 2019 The data mining analysis was performed using four learning algorithms: the In the study, machine learning algorithms using WEKA application were Naıve Bayes classifier was applied by [37] in the basic form for In this study, the internet tr

(PDF) A Predictive Model for the Risk of Mental Illness in Nigeria

Predictive Model for the Risk of Mental Illness in Nigeria Using Data Mining. Mental Illness, Predictive Modeling, Machine Learning, Risk Classification. 1.

student performance prediction based on data mining classification

Several statistical and machine learning algorithms have been proposed for the model. Keywords: Student performance, ID3, C4.5, CART, classification, Education data mining. private University in Northern part of Nigeria, on the sampling

Machine Learning In Nigeria, Today ? - Towards Data Science

16 Jul 2017 Can Machine Learning solve these in Nigeria today? This is features and user experience with image recognition, classification and tagging.

(PDF) DATA MINING OF NIGERIANS' SENTIMENTS ON THE

8 Dec 2016 The simple but powerful Naïve Bayes (NB) classifier was adopted to classify the various tweets . 2 Department of Computer Science, University of Ilorin, Ilorin, Nigeria . Machines (SVM) ([B+15]), decision tree, neural.

Data Mining Driven Models for Diagnosis of Diabetes Mellitus: A

Finding: The result of the study showed that, classification data mining task has been used classification data mining algorithms are Support Vector Machine and Ogbera AO, Ekpebegh C. Diabetes mellitus in Nigeria: The past, present and

Stratified Diabetes Mellitus Prevalence for the Northwestern - MDPI

24 Oct 2019 data mining techniques for the classification and identification of the prevalence of Keywords: age; gender; diabetes mellitus; Nigeria; classification; approach, which constitutes machine learning 60%, statistics 35% and

Text Mining with Machine Learning: Principles and Techniques

Text Mining with Machine Learning: Principles and Techniques - CRC Press Book. Text Mining: Classification, Clustering, and Applications

using data-mining technique for census analysis to - IOSR Journal

*Computer Science Department,Anambra State University Uli,Nigeria your data using pattern recognition technologies such as neural networks machine This decision generates rules for the classification of a dataset (Gajendra, 2008).

Brief Review of Educational Applications Using Data Mining and

Data mining and machine learning are two computing disciplines that enable analysis of huge data . In order to perform their task (classification, prediction, recognition, clustering, .. at the Ladoke Akintola University of Technology, Nigeria.

Data mining approach for predicting the daily Internet data traffic of a

4 Feb 2019 The data mining analysis was performed using four learning algorithms: the In the study, machine learning algorithms using WEKA application were Naıve Bayes classifier was applied by [37] in the basic form for In this study, the internet tr

(PDF) A Predictive Model for the Risk of Mental Illness in Nigeria

Predictive Model for the Risk of Mental Illness in Nigeria Using Data Mining. Mental Illness, Predictive Modeling, Machine Learning, Risk Classification. 1.

Standard Industrial Classification - Wikipedia

The Standard Industrial Classification (SIC) is a system for classifying industries by a four-digit "36" refers to a business that deals in "Electronic and Other Equipment." Adding 1400, Mining & Quarrying of Nonmetallic Minerals (No F

Wildcat Nigerian gold miners look to regulation in a post-oil future

21 Nov 2019 Hausa music pounds out of loudspeakers in between cocoa and banana trees, announcing the presence of an alluvial mining site — and

TINUKE OMOLEWA OLADELE - Google Scholar Citations

University of Ilorin, Ilorin, Nigeria Comparative Evaluation of Linear Support Vector Machine and K-Nearest Neighbour Algorithm Using Microarray Data on Student performance prediction based on data mining classification techniques.

Predicting Customer Behavior with Combination of - IOPscience

Keyword: Data Mining, Classification Algorithm, Marketing, e-marketing, Central Bank of Nigeria [11] defined SMEs as an enterprise hose yearly turnover runs Network [28, 30], Decision Tree (DT) [31, 32] and Support Vector Machine.

Multi-Agent-Based Performance Analysis of Classifiers for Breast

8 Feb 2019 machine learning and data mining algorithms is formatted using some set of fields . predict breast cancer risks in Nigeria. The experiment was

Geospatial Analysis of Extreme Weather Events in Nigeria (1985

9 Jul 2017 in the past to characterize extreme climate using machine learning methods. A first attempt to use data mining techniques in climatic studies of Nigeria According to the Koppen climate classification [40], Nigeria has four

Using Machine Learning Classifiers to Predict Stock Exchange Index

from machine learning, to data mining, to statistical models. In this paper, we have Stock market price (Nigeria) is forecasted by. Akinwale et al in [5] by

Detecting Click Fraud in Online Advertising - Journal of Machine

promising solutions to highly-imbalanced nonlinear classification tasks with mixed vari- gauge the state-of-the-art data mining and machine learning methods in a ke (Kenya), mx (Mexico), my (Malaysia), ng (Nigeria), pk (Pakistan),

Data mining process for predicting diabetes mellitus based model

9 Jul 2019 To predict diabetes mellitus model data mining (DM) based Recently, researches on diabetes in Nigeria were conducted with a plan to .. field of machine learning and distinctively the problem of classification in statistics.

Nigeria - WIRTGEN GROUP - Sales and service worldwide

Mining & Construction Equipment Ltd. (only for Surface Mining Equipment) 157, Isolo Oshodi Express Way Isolo Industrial Area, Mushin Lagos Nigeria.

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