When Collective Knowledge Meets Crowd Knowledge in a Smart City: A Prediction Method Combining Open Data Keyword Analysis and Case-Based Reasoning
المؤلفون المشاركون
Kwon, Ohbyung
Kim, Yun Seon
Lee, Namyeon
Jung, Yuchul
المصدر
Journal of Healthcare Engineering
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-10-03
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
One of the significant issues in a smart city is maintaining a healthy environment.
To improve the environment, huge amounts of data are gathered, manipulated, analyzed, and utilized, and these data might include noise, uncertainty, or unexpected mistreatment of the data.
In some datasets, the class imbalance problem skews the learning performance of the classification algorithms.
In this paper, we propose a case-based reasoning method that combines the use of crowd knowledge from open source data and collective knowledge.
This method mitigates the class imbalance issues resulting from datasets, which diagnose wellness levels in patients suffering from stress or depression.
We investigate effective ways to mitigate class imbalance issues in which the datasets have a higher proportion of one class over another.
The results of this proposed hybrid reasoning method, using a combination of crowd knowledge extracted from open source data (i.e., a Google search, or other publicly accessible source) and collective knowledge (i.e., case-based reasoning), were that it performs better than other traditional methods (e.g., SMO, BayesNet, IBk, Logistic, C4.5, and crowd reasoning).
We also demonstrate that the use of open source and big data improves the classification performance when used in addition to conventional classification algorithms.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Kwon, Ohbyung& Kim, Yun Seon& Lee, Namyeon& Jung, Yuchul. 2018. When Collective Knowledge Meets Crowd Knowledge in a Smart City: A Prediction Method Combining Open Data Keyword Analysis and Case-Based Reasoning. Journal of Healthcare Engineering،Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1187616
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Kwon, Ohbyung…[et al.]. When Collective Knowledge Meets Crowd Knowledge in a Smart City: A Prediction Method Combining Open Data Keyword Analysis and Case-Based Reasoning. Journal of Healthcare Engineering No. 2018 (2018), pp.1-15.
https://search.emarefa.net/detail/BIM-1187616
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Kwon, Ohbyung& Kim, Yun Seon& Lee, Namyeon& Jung, Yuchul. When Collective Knowledge Meets Crowd Knowledge in a Smart City: A Prediction Method Combining Open Data Keyword Analysis and Case-Based Reasoning. Journal of Healthcare Engineering. 2018. Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1187616
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1187616
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر