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Software who is being developed for more than a year, is categorized in the group of large projects, and is entering the area of critical and risky in terms of their successful completion. Because of those reasons, they require constant monitoring by the software manager. In order to perform adequate monitoring of developed solution and its projects, there are a number of software metrics that provide...
Big data analytics and visualization emerged as socio-technical needs in this current century as well as will be main dominant workforces in next generation technologies. Today’s social and technological operations are centered around massive data transfer. These activities are more predominant for dynamic real-time data handling and operations. Better visualization techniques will help for clear...
Many computers have been infected with the computer anomalies. The availability of network security visualization tools greatly facilitate to perceive computer users from being affected by these anomalies. Many of the network security visualization tools are designed particularly for users with advanced network security knowledge even though the tools are indispensable by various types of computer...
Humans use intuition and experience to classify everything they perceive, but only if the distinguishing patterns are visible. Machine-learning algorithms can learn class information from data sets, but the created classes' meaning isn't always clear. A proposed mixed-initiative approach combines intuitive visualizations with machine learning to tap into the strengths of human and machine classification...
This paper introduces spatial data mining technique especially decision tree algorithm applying to agriculture land grading. The idea is to combine spatial data mining/decision tree techniques with expert system techniques and apply them to establish an intelligent agriculture land grading information system. The author adopt decision tree c4.5 algorithm and implement with Mo2.0 and VC++6.0 to build...
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