E-Agriculture Information Monitoring System using Data Mining

Research on Spatial Data Mining in E-Government Information System

Analyzing Harmonic Monitoring Data Using Data Mining

Harmonic monitoring has become an important tool for harmonic management in distribution systems. A comprehensive harmonic monitoring program has been designed and implemented on a typical electrical MV distribution system in Australia. The monitoring program involved measurements of the three-phase harmonic currents and voltages from the residential, commercial and industrial load sectors. Dat...

Visual Data Mining of Agriculture Data

Precision Agriculture intersection of computer science and agriculture from large-scale, uniform treatment to small-scale, precise treatment large data collections one of the first steps in data mining: visualise the data Visualisation visualise data components use self-organising maps use Sammon's Mapping find hidden correlations recover data interdependencies → gain insights into data sets Da...

Developing innovative applications in agriculture using data mining

The WEKA (Waikato Environment for Knowledge Analysis) system provides a comprehensive suite of facilities for applying data mining techniques to large data sets. This paper discusses a process model for analyzing data, and describes the support that WEKA provides for this model. The domain model ‘learned’ by the data mining algorithm can then be readily incorporated into a software application....

E-Mail Worm Detection Using Data Mining

This work applies data mining techniques to detect e-mail worms. E-mail messages contain a number of different features such as the total number of words in message body/subject, presence/absence of binary attachments, type of attachments, and so on. The goal is to obtain an efficient classification model based on these features. The solution consists of several steps. First, the number of feat...