• Title/Summary/Keyword: J48

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ON THE LOCAL COHOMOLOGY OF MINIMAX MODULES

  • Mafi, Amir
    • Bulletin of the Korean Mathematical Society
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    • v.48 no.6
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    • pp.1125-1128
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    • 2011

  • Let R be a commutative Noetherian ring, a an ideal of R, and M a minimax R-module. We prove that the local cohomology modules $H^j_a(M)$ are a-cominimax; that is, $Ext^i_R$(R/a, $H^j_a(M)$) is minimax for all i and j in the following cases: (a) dim R/a = 1; (b) cd(a) = 1, where cd is the cohomological dimension of a in R; (c) dim $R{\leq}2$. In these cases we also prove that the Bass numbers and the Betti numbers of $H^j_a(M)$ are finite.

  • https://doi.org/10.4134/BKMS.2011.48.6.1125 인용 PDF KSCI

Automatic Patent Map Drawing (PATENT MAP 작성 자동화 방법)

  • Won, J.W.;Lee, H.B.;Koh, J.S.
    • Electronics and Telecommunications Trends
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    • v.17 no.2 s.74
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    • pp.40-48
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    • 2002

  • 특허지도는 엔지니어가 특정기술을 개발할 때 많은 도움을 준다. 그리고 프로젝트 관리자는 기술적 흐름과 시장상황을 한눈에 파악할 수 있어 도움을 받을 수 있다. 본 고에서는 특허맵의 동향과 자동적으로 특허지도를 작성하는 방법에 대하여 소개하고자 한다.

  • https://doi.org/10.22648/ETRI.2002.J.170205 인용 PDF

Predicting Discharge Rate of After-care patient using Hierarchy Analysis

  • Jung, Yong Gyu;Kim, Hee-Wan;Kang, Min Soo
    • International Journal of Advanced Culture Technology
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    • v.4 no.2
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    • pp.38-42
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    • 2016

  • In the growing data saturated world, the question of "whether data can be used" has shifted to "can it be utilized effectively?" More data is being generated and utilized than ever before. As the collection of data increases, data mining techniques also must become more and more accurate. Thus, to ensure this data is effectively utilized, the analysis of the data must be efficient. Interpretation of results from the analysis of the data set presented, have their own on the basis it is possible to obtain the desired data. In the data mining method a decision tree, clustering, there is such a relationship has not yet been fully developed algorithm actually still impact of various factors. In this experiment, the classification method of data mining techniques is used with easy decision tree. Also, it is used special technology of one R and J48 classification technique in the decision tree. After selecting a rule that a small error in the "one rule" in one R classification, to create one of the rules of the prediction data, it is simple and accurate classification algorithm. To create a rule for the prediction, we make up a frequency table of each prediction of the goal. This is then displayed by creating rules with one R, state-of-the-art, classification algorithm while creating a simple rule to be interpreted by the researcher. While the following can be correctly classified the pattern specified in the classification J48, using the concept of a simple decision tree information theory for configuring information theory. To compare the one R algorithm, it can be analyzed error rate and accuracy. One R and J48 are generally frequently used two classifications${\ldots}$

  • https://doi.org/10.17703/IJACT.2016.4.2.38 인용 PDF