Search tree method for the determination of similarity operators between arbitrary lattices

Forecasting Measles Outbreak in an area is necessary because to prevent widespread occurrence in an area. One way that is done in this study is to predict the incidence of measles by using a combination of backpropagation ANN and CART. Backpropagation ANN is used to predict the incidence of measles periodic data, then the CART method used to perform the determination of an outbreak or non-outbreak area.Backpropagation neural network is one of the most commonly used methods for forecasting which can result in a better level of accuracy than other ANN methods. While the methods of CART is a binary tree method is also popular for the classification, which can produce models or classification rules.Results of this study show that the number of the best window for backpropagation neural network to forecast the outcome affect forecasting accuracy. Determination of the number of windows of a backpropagation neural network forecasting on each attribute gives different results and directly affects the forecasting results. ANN can do the forecasting in time series using siliding window with accuracy 90.01% and then CART method can be use for classification with accuracy 83.33%.

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Determination of Smoking and Obesity as Periodontitis Risks Using the Classification and Regression Tree Method

Journal of Periodontology ◽

10.1902/jop.2005.76.6.923 ◽

2005 ◽

Vol 76 (6) ◽

pp. 923-928 ◽

Cited By ~ 94

Author(s):

Nobuko Nishida ◽

Muneo Tanaka ◽

Naoji Hayashi ◽

Hideki Nagata ◽

Tatsuya Takeshita ◽

...

Keyword(s):

Regression Tree ◽

Classification And Regression Tree ◽

Classification And Regression ◽

Tree Method

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Systematic State Equation Derivation for Linear Systems Using the Normal Tree Method

Dynamic Systems and Control, Volumes 1 and 2 ◽

10.1115/imece2003-41237 ◽

2003 ◽

Author(s):

Kerem Altun ◽

Bu¨lent E. Platin ◽

Tuna Balkan

Keyword(s):

Linear System ◽

State Equation ◽

The State ◽

State Equations ◽

Systematic Method ◽

State Variable ◽

Linear Graph ◽

System Graph ◽

Tree Method

A systematic method to derive the state equations of a linear system starting from its linear graph is proposed. The normal tree is used in the analysis, which is a method to determine the dependencies between energy storage elements in the system. An algorithm to list all normal trees of a system graph is developed, which enables the determination of energy-based state variable sets and corresponding state equations. A computer program is developed to realize these algorithms, which derives the state equations of a system, given its linear graph.

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Penerapan Algoritma CART Dalam Menentukan Jurusan Siswa di MAN 1 Inhil

Jurnal Sisfokom (Sistem Informasi dan Komputer) ◽

10.32736/sisfokom.v9i3.932 ◽

2020 ◽

Vol 9 (3) ◽

pp. 387-394

Author(s):

Siti Monalisa ◽

Fakhri Hadi

Keyword(s):

Social Sciences ◽

Decision Making ◽

Natural Sciences ◽

Student Interest ◽

Average Value ◽

Student Interests ◽

Decision Tree Method ◽

Cart Algorithm ◽

Tree Method

MAN 1 Inhil is a school that applies ministerial regulations to determine the direction of student majors at the beginning of entry, namely in class X. Determination of majors is done by considering several indicators, namely the results of academic tests, interviews, and student interest. The calculation in determining this course is very simple, namely by adding up the values of each indicator and dividing them together so that an average value is obtained. If the value is fulfilled then the student is grouped based on their interests. This can lead to errors in decision making by the school because it can be subjective because it prioritizes student interests. Therefore we need methods and algorithms to help make decisions well, the decision tree method. One algorithm that can be used is CART algorithm to classify majors with three indicators, namely Natural Sciences, Social Sciences and Religion. The results of this study indicate that the CART algorithm is able to predict correctly, from 360 data classified using the CART algorithm, it can be concluded that 71 data majoring in religion and correctly classified by CART. 144 data majoring in Natural Sciences, 119 data correctly classified and 24 data classified as IPS, and 1 data classified as religion. Of 146 data majoring in social studies, 129 were classified correctly, 16 data were classified as natural sciences. Therefore it can be concluded that CART algorithm has an 80% accuracy so that it can be used in decision making

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Application of the decision tree, as the weak point of the HACCP system development

Acta Agraria Debreceniensis ◽

10.34101/actaagrar/36/2794 ◽

2009 ◽

pp. 63-70

Author(s):

László Hegedűs

Keyword(s):

Decision Tree ◽

Measurement Method ◽

System Development ◽

Objective Measurement ◽

Weak Point ◽

Haccp System ◽

Decision Tree Method ◽

Safe Food ◽

Tree Method

In this article we have compared the „decision tree” method –suitable for the CCP determination during the HACCP systemintroduction – with the objective measurement method. We have found out, that the CCP-s from the two method differ from each other. So, the empirical „decision tree” method is suitable for determination of CCP-s only limited, while the measurementbased method determines the CCP-s objectively. Only the rightCCP-determination can guarantee safe food.

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Galactic orbits of stars

Symposium - International Astronomical Union ◽

10.1017/s0074180900105340 ◽

1966 ◽

Vol 25 ◽

pp. 93-97

Author(s):

Richard Woolley

Keyword(s):

Globular Cluster ◽

Potential Field ◽

High Velocity ◽

Velocity Vector ◽

Variable Stars ◽

The Sun ◽

Proper Motions ◽

Rr Lyrae ◽

The Galaxy

It is now possible to determine proper motions of high-velocity objects in such a way as to obtain with some accuracy the velocity vector relevant to the Sun. If a potential field of the Galaxy is assumed, one can compute an actual orbit. A determination of the velocity of the globular clusterωCentauri has recently been completed at Greenwich, and it is found that the orbit is strongly retrograde in the Galaxy. Similar calculations may be made, though with less certainty, in the case of RR Lyrae variable stars.

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