Search Results - "Lee, Jeongkyu"

Extracting Knowledge from the Geometric Shape of Social Network Data Using Topological Data Analysis by Almgren, Khaled, Kim, Minkyu, Lee, Jeongkyu

“…Topological data analysis is a noble approach to extract meaningful information from high-dimensional data and is robust to noise. It is based on topology,…”
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AD or Non-AD: A Deep Learning Approach to Detect Advertisements from Magazines by Almgren, Khaled, Krishnan, Murali, Aljanobi, Fatima, Lee, Jeongkyu

“…The processing and analyzing of multimedia data has become a popular research topic due to the evolution of deep learning. Deep learning has played an…”
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A Review of Machine-Vision-Based Analysis of Wireless Capsule Endoscopy Video by Chen, Yingju, Lee, Jeongkyu

“…Wireless capsule endoscopy (WCE) enables a physician to diagnose a patient's digestive system without surgical procedures. However, it takes 1-2 hours for a…”
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The Design and Analysis of a Secure Personal Healthcare System Based on Certificates by Kang, Jungho, Chung, Hague, Lee, Jeongkyu, Park, Jong Hyuk

“…Due to the development of information technology (IT), it has been applied to various fields such as the smart home, medicine, healthcare, and the smart car…”
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Event detection on large social media using temporal analysis by Aldhaheri, Abdulrahman, Jeongkyu Lee

“…Social media networks are now considered as one of the major news channels that breaks news as they fold. The problem of event detection based on social media…”
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Mining Social Media Data Using Topological Data Analysis by Almgren, Khaled, Minkyu Kim, Jeongkyu Lee

“…Topological data analysis is a noble method to analyze high-dimensional qualitative data using a set of properties from topology. In this paper, we explore the…”
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Predicting good fit students by correlating relevant personality traits with academic/career data by Uddin, Muhammad Fahim, Jeongkyu Lee

“…This paper discusses part of the main work in field of data science, mining and analytics. Family of algorithms is developed to predict the educational…”
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Prediction of image popularity over time on social media networks by Almgren, Khaled, Jeongkyu Lee, Minkyu Kim

“…This paper introduces a new problem that investigates image popularity on social networks. It is referred to as the stability of image popularity. It focuses…”
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A singular point detection and localization of power quality disturbance using filter bank and the residuals of adaptive filter by Jeongkyu Lee, Kyeong-Pyo Lee, Sang-Wook Sohn, Hyeon-Deok Bae

“…It is very important to detect power quality disturbances effectively in power quality monitoring. In industrial and commercial power systems, voltage sags,…”
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@Phillies Tweeting from Philly? Predicting Twitter User Locations with Spatial Word Usage by Hau-wen Chang, Dongwon Lee, Eltaher, M., Jeongkyu Lee

“…We study the problem of predicting home locations of Twitter users using contents of their tweet messages. Using three probability models for locations, we…”
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An empirical comparison of influence measurements for social network analysis by Almgren, Khaled, Lee, Jeongkyu

“…The studying of social influence can be used to understand and solve many complicated problems in social network analysis such as predicting influential users…”
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Recommender System Framework for Academic Choices: Personality Based Recommendation Engine (PBRE) by Uddin, Muhammad Fahim, Banerjee, Soumita, Jeongkyu Lee

“…A tremendous growth and progress has shown the potential of big data (i.e structured, unstructured and semi-structured) to extract valuable information and do…”
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Convex combination of subband adaptive filters for sparse impulse response systems by Sang-Wook Sohn, Jae-Jun Yun, Jeongkyu Lee, Hyeon-Deok Bae, Hun Choi

“…It is well known, combination scheme is suitable for improving the performance of adaptive algorithms. In this paper, we propose a subband combination scheme…”
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Proposing stochastic probability-based math model and algorithms utilizing social networking and academic data for good fit students prediction by Uddin, Muhammad Fahim, Lee, Jeongkyu

“…The research progress presented in this paper comes under the areas of data science. The authors propose enhanced machine learning (supervised learning)…”
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Evaluate H2Hadoop and Amazon EMR performances by processing MR jobs in text data sets by Alshammari, Hamoud, Jeongkyu Lee, Bajwa, Hassan

“…Text data is defined as sequences of characters that may become big data that has no specific format and only can be processed using the original Hadoop…”
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BIM: Image matching using biological gene sequence alignment by Hung-sik Kim, Hau-Wen Chang, Haibin Liu, Jeongkyu Lee, Dongwon Lee

“…Matching two images with similar contents is one of the most fundamental tasks in image processing. Due to its importance, in recent years, many novel…”
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Enhancing performance of Hadoop and MapReduce for scientific data using NoSQL database by Alshammari, Hamoud, Bajwa, Hassan, Jeongkyu Lee

“…Scientific data sets usually have similar jobs that are frequently applied to them by different users. In addition, many of these data sets are unstructured…”
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H2Hadoop: Improving Hadoop Performance Using the Metadata of Related Jobs by Alshammari, Hamoud, Lee, Jeongkyu, Bajwa, Hassan

“…Cloud Computing leverages Hadoop framework for processing BigData in parallel. Hadoop has certain limitations that could be exploited to execute the job…”
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Hadoop based enhanced cloud architecture for bioinformatic algorithms by Alshammari, Hamoud, Bajwa, Hassan, Jeongkyu Lee

“…Explosion of biological data due to large-scale genomic research and advances in high throughput data generation tools result in massive distributed datasets…”
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Proposing Enhanced Feature Engineering and a Selection Model for Machine Learning Processes by Uddin, Muhammad, Lee, Jeongkyu, Rizvi, Syed, Hamada, Samir

“…[...]in the line with the latest progress and related study (See Section 2), the work proposed in this paper uses ML and mathematical techniques, such as…”
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