کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
241962 501794 2015 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Graphical causal inference and copula regression model for apple keywords by text mining
ترجمه فارسی عنوان
استنتاج علیت گرافیکی و مدل رگرسیون کوپول برای کلمات کلیدی سیب با استفاده از متون متنی
کلمات کلیدی
کلمات کلیدی اپل، استخراج متن، تجزیه و تحلیل ثبت اختراع، استنتاج علیت گرافیکی، رگرسیون کوپول
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

Apple is a leading company of technological evolution and innovation. This company founded and produced the Apple I computer in 1976. Since then, based on its innovative technologies, Apple has launched creative and innovative products and services such as the iPod, iTunes, the iPhone, the Apple app store, and the iPad. In many fields of academia and business, diverse studies of Apple’s technological innovation strategy have been performed. In this paper, we analyze Apple’s patents to better understand its technological innovation. We collected all applied patents by Apple until now, and applied statistics and text mining for patent analysis. By using graphical causal inference method, we created the causal relations among Apple keywords preprocessed by text mining, and then we carried out the semiparametric Gaussian copula regression model to see how the target response keyword and the predictor keywords are relating to each other. Furthermore, Gaussian copula partial correlation was applied to Apple keywords to find out the detailed dependence structure. By performing these methods, this paper shows the technological trends and relations between Apple’s technologies. This research could make contributions in finding vacant technology areas and central technologies for Apple’s R&D planning.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Advanced Engineering Informatics - Volume 29, Issue 4, October 2015, Pages 918–929
نویسندگان
, ,