Application of knowledge discovery in databases (data mining) for medical decision support is discussed in this work. The aim of the study was to use decision support algorithm for the differential diagnosis of intraocular tumors using parameters from eye images obtained by the ultrasound examination. Application of predictive modeling algorithm for decision tree formation using See5.0/C5.0 dat...

Decision tree is one of the most significant classification methods applied in data mining. By its graphic output, users could have an easy way to interpret the decision flow and the mining outcome. However, decision tree is known to be time consuming. It will spend a high computation cost when mining the large scale dataset in the real world. This drawback causes decision tree to be ineligible...

soil texture is an important soil physical property that governs most physical, chemical, biological, and hydrological processes in soils. detailed information on soil texture variability is crucial for proper crop and land management and environmental studies. therefore, at present research, 103 soil profiles were dogged and then sampled in order to prepare digital map of soil texture in bijar...

Thermal pasteurization is known as the most common method in food processing. In this study, the effectiveness of come up time on inactivation of heat resistance isoform of polyphenol oxidase (PPO), as a pasteurization index, was investigated during heating of the quince puree in a water bath at 60 to 90 . M5 decision tree, a novel statistical method, was applied to understand the simple relati...

This paper proposes the use of a new binary decision tree, which we call a soft decision tree, to improve generalization performance compared to the conventional ‘hard’ decision tree method that is used to cluster context-dependent model parameters in statistical parametric speech synthesis. We apply the method to improve the modeling of fundamental frequency, which is an important factor in sy...

Decision trees have been widely used in data mining and machine learning as a comprehensible knowledge representation. Originally the method to construct decision tree follows greedy approach which results in local tree and classification rules. Ant Colony Optimization (ACO) is a metaheuristic approach used to get more optimal solution compared to other methods from large search space. In propo...

Intrusion detection technology exists a lot of problems, such as low performance, low intelligent level, high false alarm rate, high false negative rate and so on. There is a need to develop some robust decision tree in order to produce effective decision rules from the attacked data. In this paper, ID3 decision tree classification method is used to build an effective decision tree for intrusio...

Penelitian ini melakukan penerapan algoritma decision tree. perusahaan kurang menganalisa penjualan barang dan stok persediaan didalam gudang. jadi jenis penelitian yakni memprediksi dengan konsep data mining sample bulan lalu. Tujuan untuk mengetahui produk apa yang paling diminati konsumen harus direstok, agar terkontrol. Metode akan digunakan malakukan penerapkan tree adalah menggunakan meto...