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Uncertain training data set conceptual reduction: A machine learning perspective
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
Knowledge discovery from data is a challenging problem that has significant importance in many different fields such as biology, economics and social sciences. Real-world data is incomplete and ambiguous; moreover, its ...
In-network data reduction approach based on smart sensing
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
The rapid advances in wireless communication and sensor technologies facilitate the development of viable mobile-Health applications that boost opportunity for ubiquitous real- time healthcare monitoring without constraining ...
Mobile app conceptual browser: Online marketplaces information extraction
(
IEEE Computer Society
, 2016 , Conference Paper)
Online marketplaces are e-commerce websites where thousands of products are provided by multiple third parties. There are dozens of these differently structured marketplaces that need to be visited by the end users to reach ...
Using conceptual reasoning for inconsistencies detection in islamic advisory opinion (Fatwas)
(
IEEE Computer Society
, 2016 , Conference Paper)
The Islamic websites play an important role in disseminating Islamic knowledge and information about Islamic ruling. Their number and the content they provide is continuously increasing which require in-depth investigations ...
Authenticity detection as a binary text categorization problem: Application to Hadith authentication
(
IEEE Computer Society
, 2016 , Conference Paper)
Authentication of Hadiths (sayings of Prophet Muhammad) is very important field for religious scholars as well as historians. Authenticity verification is traditionally conducted by studying how trustworthy is each person ...