Search Results - "Changhyun Byun"
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1
Study on the Viability of Canine Nose Pattern as a Unique Biometric Marker
Published in Animals (Basel) (25-11-2021)“…The uniqueness of the canine nose pattern was studied. A total of 180 nose images of 60 dogs of diverse age, gender, and breed were collected. The canine nose…”
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Journal Article -
2
Efficient Keyword-Related Data Collection in a Social Network with Weighted Seed Selection
Published in The International journal of networked and distributed computing (Online) (01-07-2013)“…Data mining in a social can yield interesting perspectives to understanding human behavior or detecting topics or communities. However, it is difficult to…”
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Journal Article -
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Dynamic Seed Analysis in a Social Network for Maximizing Efficiency of Data Collection
Published in 2013 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (01-07-2013)“…Applying data mining techniques to social media can yield interesting perspectives to understanding individual and human behavior, detecting hot issues and…”
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Conference Proceeding -
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Context-Aware Inference (CAI) Model on Smart Computing Environment
Published in 2012 International Conference on Information Science and Applications (01-05-2012)“…With the proliferation of smart computing equipment, the range of providing highly intelligent services is widely expanding in an attempt to include the…”
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Conference Proceeding -
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The XCREAM Framework and Collaboration Validity Tests
Published in 2011 First ACIS/JNU International Conference on Computers, Networks, Systems and Industrial Engineering (01-05-2011)“…The purpose of the XCREAM (XLogic Collaborative RFID/USN-Enabled Adaptive Middleware) is to enable collaboration among many RFID/USN-enabled applications by…”
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Conference Proceeding -
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Twitter data collecting tool with rule‐based filtering and analysis module
Published in International journal of Web information systems (23-08-2013)“…Purpose - It is difficult to build our own social data set because data in social media is generally too vast and noisy. The aim of this study is to specify…”
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Journal Article