Search Results - (( java implementation tree algorithm ) OR ( using partial mining algorithm ))

Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
Get full text
Get full text
Get full text

Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
Get full text
Get full text
Get full text

Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
Get full text
Get full text

Simultaneous measurement of multiple soil properties through proximal sensor data fusion: a case study by Wenjun, Ji, Adamchuk, Viacheslav I., Song, Chao Chen, Mat Su, Ahmad S., Ismail, Ashraf, Qianjun, Gan, Zhou, Shi, Biswas, Asim

“…Predictions of pH and LBC were only feasible using MARS and PLSR, respectively. In this field, it was not possible to predict extractable P and K using all tested sensor combinations or algorithms. …”
Get full text
Get full text

Metabolomics profiling of serum samples of Malaysian patients with colorectal cancer / Nurul Azmir Amir Hashim by Amir Hashim, Nurul Azmir

“…The differential metabolites were hypoxanthine, tyrosine, acetyl carnitine, xanthine, uric acid, methionine, pipecolic acid, 5-oxoproline, lysophosphatidylcholine, lysophosphatidylethanolamine and citric acid. The use of these 11 metabolites was able to discriminate CRC and normal samples in the new samples set with 80% accuracy using random forest algorithm. …”
Get full text
Get full text