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Sungjin Park and Sangkyun Kim
Clustering is widely used in client-facing businesses to categorize their customer base and deliver personalized services. This study proposes an algorithm to stochastically search for an optimum solution based on the outcomes of a data clustering proces...
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Xiaoqi Shen, Wenzhong Shi, Zhewei Liu, Anshu Zhang, Lukang Wang and Fanxin Zeng
Human activity area extraction, a popular research topic, refers to mining meaningful location clusters from raw activity data. However, varying densities of large-scale spatial data create a challenge for existing extraction methods. This research propo...
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Arun Kumar Sangaiah, Samira Rezaei, Amir Javadpour, Farimasadat Miri, Weizhe Zhang and Desheng Wang
Handling faults in a running cellular network can impair the performance and dissatisfy the end users. It is important to design an automatic self-healing procedure to not only detect the active faults, but also to diagnosis them automatically. Although ...
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Fedor Krasnov
Pág. 79 - 84
Visualization of multidimensional data is the most important stage of data research. Often, decisions on the further stages of the study are made from the flat view of the data based on "rough proportions". High visibility and persuasiveness of represent...
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Nur Restu Prayoga, Tresna Maulana Fahrudin, Made Kamisutara, Angga Rahagiyanto, Tahegga Primananda Alfath, Latipah, Slamet Winardi, Kunto Eko Susilo
Pág. 200 - 220
The rejection on ratification of the revision of Indonesian Code Law or known as RKUHP and Corruption Law raises several opinions from various perspectives in social media. Twitter as one of many platforms affected, has more than 19.5 million users in In...
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Lenuta Pana, Simona Moldovanu, Nilanjan Dey, Amira S. Ashour and Luminita Moraru
Background: The purpose of this article is to provide a new evaluation tool based on skeleton maps to assess the tumoral and non-tumoral regions of the 2D MRI in PD-weighted (proton density) and T2w (T2-weighted type) brain images. Methods: The proposed ...
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Fatima Ali Amer Jid Almahri, David Bell and Mahir Arzoky
This research aims to explore how to enhance student engagement in higher education institutions (HEIs) while using a novel conversational system (chatbots). The principal research methodology for this study is design science research (DSR), which is exe...
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Fedor Krasnov
Pág. 8 - 15
Although topic models have been used to build clusters of documents for more than ten years, there is still a problem of choosing the optimal number of topics. The authors analyzed many fundamental studies undertaken on this subject in recent years. The ...
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Chantelle Y. Janse van Vuuren, Hendrik J. Vermeulen
This study investigates the use of clustering methodologies as a means of reducing spatio-temporal wind speed data into statistically representative classes of temporal profiles for further processing and interpretation. The clustering methodologies...
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Byungwan Jo, Zafar Baloch
Pág. 1 - 15
In the present case study, the use of an advanced, efficient and low-cost technique for monitoring an urban stream was reported. Physicochemical parameters (PcPs) of Jungnangcheon stream (Seoul, South Korea) were assessed using an Internet of Things (IoT...
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