TY  - JOUR
T1  - Toplantı tutanaklarının analizi ile bir karar destek sistemi
TT  - A decision support system by analysis of the meeting reports
AU  - Gürbüz, Feyza
AU  - Kahya Özyirmidokuz, Esra
PY  - 2018
DA  - April
Y2  - 2017
DO  - 10.16984/saufenbilder.341742
JF  - Sakarya University Journal of Science
JO  - SAUJS
PB  - Sakarya University
WT  - DergiPark
SN  - 2147-835X
SP  - 257
EP  - 268
VL  - 22
IS  - 2
LA  - tr
AB  - Günümüzde veri madenciliğifirmalar açısından çok önemli hale gelmiştir. Firmalar sektörde rekabetavantajı sağlayabilmek için veri madenciliği tekniklerini kullanarak büyükveriden işlerine yarayacak, daha önceden keşfedilmemiş, kullanılabilirörüntüler elde eder. Gelişen haberleşme teknolojileri sonucu firmalarda birikenveri yığınları, firmalar için hayati önem taşıyan bilgileri içinde barındırır.Karar vericiler, klasik tekniklerle bu verilerden çıkarımlarda bulunurken,önemli bilgileri gözden kaçırırlar. Veriyi doğru yönetemeyen firmalar iseişlerine yaramayan veri yığınlarında kaybolur. Bir işletmeye ait sayısalplatformdaki bu verilerin %80’i metin formundadır. Ancak yapısal olmayanverileri de içeren büyük veri klasik istatistiksel tekniklerle analiz edilenveriler kadar kolay işlenemez. Doğal dil işleme tekniklerinden faydalanılmasıgerekmektedir. Böylece, soyut ve yığın yapısal olmayan bilgiler, sayısal somutifadelere dönüştürülebilmektedir. Bu araştırma, Kayseri’de bir imalatfabrikasında yapılan üst düzey toplantıların metin formatındaki tutanaklarınıanaliz ederek bilgi çıkarımı gerçekleştirmektedir. Yöneticilerin verdiğistratejik kararlarda önemli toplantı sonuçları çok etkilidir. Araştırmanın engenel amacı toplantıların kalitesini artırmaktır. Araştırmada, toplantıtutanaklarından kelime çıkarımı yapılarak, toplantılara ait genel konubaşlıkları metin madenciliği ile elde edilecektir. Yöneticiler çeşitli madenleme teknikleriylegruplanmış konu başlıklarına göre değerlendirme yaparak sonraki toplantılarınkalitesini artırarak zaman kazanabilir.
KW  - Metin madenciliği
KW  - Doğal dil işleme
KW  - Yönetim
KW  - Üretim Toplantı Raporları
N2  - Recently, data mining has become crucial forfirms. Using data mining, Firms, in order to have comparative advantage inindustry / sector / market, obtain patterns that they can utilize and that havenot been discovered before. The data accumulated as a result of the advancedcommunication channels within firms contain crucial information. Decisionmakers’ undersees important information while they use classical techniques fordata analysis. Firms that cannot manage data accurately get lost in piles of datathat would not be useful for them. 80% of the data in the quantitative platformbelonging to a firm is in text format. However, large data containingnon-structural data cannot be analyzed as easily as the data analyzed by usingclassical statistical techniques. Natural language analysis techniques shouldbe used. In this way, abstract and non-structural data can be converted intoconcrete and quantitative statements. In this analysis, information is inferredby the analysis of transcripts—in text format—of meetings among senior managersat a manufacturing company in Kayseri. Outcomes of the important meetings arevery crucial in the decisions the directors take. The main goal of the study isto increase the efficiency of the meetings. In this research, the generalthemes of the meetings are found out by word inference from the meetingtranscripts. Directors can have bettertime-management by increasing the quality of the future meetings by conductingevaluations according to the topics categorized by the data mining techniques.
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UR  - https://doi.org/10.16984/saufenbilder.341742
L1  - https://dergipark.org.tr/en/download/article-file/370206
ER  -