Stanley ziweritin

Building data mining classification model for pixilated digit recognition system

Ziweritin, stanley
Date : 2019-11-09
Views : 980 Download : 369
10.14445/23488387/ijcse-v7i10p102
Recognition is one of the major areas that have attracted the attention of different researchers, which can be applied in every sphere of life as technology advances. There are several problem doma...

Random forest model for predicting grayscale digits on images

Stanley ziweritin
Date : 2019-08-30
Views : 978 Download : 370
10.26438/ijsrcse/v8i6.17
Abstract- The random forest is one of the fastest, powerful and easy to use techniques with the ability of performing regression and classification task recorded in the biblical study of machine lear...

A recommendation engine to estimate housing values in real estate property market

Stanley ziweritin, chibuzo chimezie ukegbu, taiwo adisa oyeniran, ikpo ochu ulu
Date : 2019-11-09
Views : 1060 Download : 386
10.26438/ijsrcse/v9i1.17
A recommendation engine is an automated machine learning technique developed to filter some entities called people, properties or objects, products and movies based on user preference. This can be em...

Knn and decision tree model to predict values in amount of one pound table

Stanley ziweritin, iduma aka ibiam, taiwo adisa oyeniran, godwin epiahe oko
Date : 2019-08-30
Views : 1099 Download : 372
Machine learning is one of the fast growing areas of interest in artificial intelligence adopted by professional in every spheres of life that uses algorithms with data to sytematically learn patterns...

Neural network model for detection of result anomalies in higher education

Ziweritin s., baridam b. b. and okengwu u. a.
Date : 2019-11-09
Views : 1206 Download : 340
The performance of students in tertiary institutions within and outside Nigeria is based entirely on end of academic-session examination. The processes involved in carrying out semester examinations a...

A comparative analysis of neural network and decision tree model for detecting result anomalies

Stanley ziweritin, barilee barisi baridam, ugochi adaku okengwu
Date : 2019-08-30
Views : 1136 Download : 315
10.4236/oalib.1108549
The decision tree and neural network models are considered as one of the fastest and easy-to-use techniques having the ability to learn from classified data patterns. These models can be employed in d...

Determining the impact of ict devices on our environment and health using machine learning techniques

Ugochi adaku okengwu
Date : 2019-11-09
Views : 1193 Download : 304
This paper explores the known but silent effects of ICT devices on our environment and health. The use of ICT devices is very crucial and paramount to our daily activities but the negative and posi...

Stacked generalization of random forest and decision tree techniques for library data visualization

Stanley ziweritin
Date : 2019-11-09
Views : 856 Download : 337
10.24032/ijeacs/0404/005
The huge amount of library data stored in our modern research and statistic centers of organizations is springing up on daily bases. These databases grow exponentially in size with respect to time, it...

Random forest based classifiers for detecting result anomalies

Stanley ziweritin, iduma aka ibiam
Date : 2019-11-09
Views : 754 Download : 240
Random forest(RF) is a supervised machine learning approach that experts use to build and integrate many decision trees into a single forest. It takes considerable expertise to detect result anoma...