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Mingon Kang Ph.D - Kennesaw State University

E. Ko, M. Kang, H. Chang, and D. Kim, "Graph-theory Based Simplification Techniques for Efficient Biological Network Analysis," Proceedings of Big Data Security, A IEEE BigDataService 2017 Workshop, pp. 277-280, 2017

Using Natural Language Processing to Improve …

Using Natural Language Processing to Improve Biomedical Concept Normalization and Relation Mining Ning Kang

Interactive Data Exploration and Analytics (IDEA 2015 ...

The Interactive Data Exploration and Analytics (IDEA) workshop addresses the development of data mining techniques that allow …

Introduction to Data Mining - datalab.snu.ac.kr

U Kang 1 Introduction to Data Mining. Lecture #8: Mining Data Streams -3. U Kang. Seoul National University. U Kang. 2. Outline. Estimating Moments. Counting Frequent Items. U Kang. 3 Generalization: Moments ... U Kang 7 AMS Method

Yin Kang - Senior Engineer - samsung research america ...

View Yin Kang's profile on LinkedIn, the world's largest professional community. ... my work aims to apply NLP and data mining methods to facilitate meaningful use of biomedical/health data, and ...

Anautomatedapproachtoquantifyingfunctionalinteractions …

by mining large-scale product specification data AQ1 Sung Woo Kang a and Conrad Tucker b AQ2 a Department of Industrial Engineering, Penn State University, State College, PA, USA; b Department of

Mining big data - Association for Computing Machinery

Big Data is a new term used to identify datasets that we can not manage with current methodologies or data mining software tools due to their large size and complexity.Big Data mining is the capability of extracting useful information from these large datasets or streams of data. New mining techniques are necessary due to the volume, …

PEGASUS: Mining Peta-Scale Graphs

Under consideration for publication in Knowledge and Information Systems PEGASUS: Mining Peta-Scale Graphs U Kang, Charalampos E. …

Kang Liu - ResearchGate

Kang Liu of Chinese Academy of Sciences, Beijing CAS with expertise in Data Mining, Artificial Intelligence, Information Science. Read 66 publications, and contact Kang Liu on ResearchGate, the ...

Homepage - MingoGold.com

The mining method we intend to use is the "Hard Rock" open pit, crush and grind method. The ore is washed, separated according to size and delivered, to the mill ball machine for additional processing and then on to the concentrator to extract the gold.

Minji Yoon

Minji Yoon, Woojeong Jin, and U Kang The Web Conference 2018, Lyon, France (Acceptance Ratio: 14.8%) ... The proposed algorithm achieves superior scalability than previous graph mining methods. I contributed as co-author for a paper submitted to WSDM'18. Question Answering System Data Mining Lab (Advisor: U kang)

Lulu Kang - math.iit.edu

Lulu Kang Last updated August 12, 2018. Department of Applied Mathematics Illinois Institute of Technology Tel: (312) 567-5322 ... Statistical Modeling: advanced data mining methods; multivariate modeling methods for quantitative and qualitative data; functional data analysis; interpola-

Exploring the Correlation Between New Function …

Exploring the Correlation Between New Function Attributes Mined from Different Product Domains and Market Sales Sung Woo Kang Industrial and Manufacturing Engineering Department, The Pennsylvania State University, ... designers employ data mining techniques in order to identify customers' choice patterns based on …

Analyzing Application Process for a Personal Loan or ...

Analyzing Application Process for a Personal Loan or Overdraft of Dutch Financial Institute with Process Mining Techniques Chang Jae Kang, Chul Kyu Shin, Eun Sang Lee, Ju Hui Kim, Min Ah An

©2015 Yunyi Kang ALL RIGHTS RESERVED - Rutgers …

Factorization Techniques By YUNYI KANG Thesis Advisor: Prof. Myong K. Jeong Anomaly detection is becoming an important problem in graph mining. This is because people are eager to find out unusual objects or patterns in a network, which may results in possible damages, emerging trends, or even creations in different types of graphs or ...

Exploring the Correlation Between New Function …

Exploring the Correlation Between New Function Attributes Mined from Different Product Domains and Market Sales Sung Woo Kang Industrial and Manufacturing Engineering Department, The Pennsylvania State University, ... designers employ data mining techniques in order to identify customers' choice patterns based on customer …

BIM-based Data Mining System Framework to …

Tae Wook Kang, Senior Researcher, Korea Institute of Construction Technology, South Korea ([email protected]) ... mining techniques of building-energy related characteristics was also conducted [8]. This study defines a model for predicting a building performance using data mining.

Kang-Wook C. - Manager - SK Telecom | LinkedIn

Frequent itemset mining is widely used as a fundamental data mining technique. Recently, there have been proposed a number of MapReduce-based frequent itemset mining methods in order to overcome the limits on data size and speed of mining that sequential mining methods have.

MINGON KANG - Texas A&M University-Commerce

methods - Integrative methods dealing with the heterogeneous biological data (DNA sequence, copy number variations, DNA methylation, gene expression)

Information Sciences - Journal - Elsevier

GMiner: A fast GPU-based frequent itemset mining method for large-scale data Kang-Wook Chon | Sang-Hyun Hwang | ... View All Most Downloaded Articles; Recent Articles. Recently published articles from Information Sciences. On the efficient stability computation for the ...

A Tool for Subjective and Interactive Visual Data …

A Tool for Subjective and Interactive Visual Data Exploration Bo Kang 1, Kai Puolamaki2, Jefrey Lij jt, Tijl De Bie 1 Data Science Lab, Ghent University, ... Exploratory Data Mining is the process of using data mining methods to gain novel insights into data without having a speci c goal in mind. To convey large

Research | Lulu Kang

NSF-CMMI "Collaborative Research: Experimental Design and Analysis of Quantitative-Qualitative Responses in Manufacturing and Biomedical Systems", PI, $117,888 for 09/01/2014–08/31/2017.

Stratified Sampling Design Based on Data Mining

Sep 30, 2013· To explore classification rules based on data mining methodologies which are to be used in defining strata in stratified sampling of healthcare providers with improved sampling efficiency. Methods We performed k-means clustering to group providers with similar characteristics, then, constructed decision trees on cluster …

Identifying patterns in spatial information: A survey …

Shashi Shekhar, Michael R. Evans, James M. Kang and Pradeep Mohan Explosive growth in geospatial data and the emergence of new spatial technolo- ... explore the emerging field of spatial data mining, focusing on different methods to extract patterns from spatial information. We conclude with a look at future

BIM-based Data Mining Method considering Data …

BIM-based Data Mining Method considering Data Integration and Function Extension Tae Wook Kang* and Hyun Sang Choi** ... mining method (B-DMM) for supporting data integration and ... BIM-based Data Mining Method considering Data Integration and Function Extension

coal mining techniques - markinternational.in

I-Coal Exploration and Mining - Lixun Kang ... two basic methods of extracting coal, i.e. surface mining and underground mining, are introduced. Get A Free Quote Coal-Mining Techniques and Coal Fires - Coal and Peat Fires ...

Fully mechanised mixed mining technology involving …

Fully mechanised mixed mining technology involving solid backfilling and caving methods in longwall workface All authors Kun Fang, Ji-xiong Zhang, Qiang Zhang, Qiang Sun, Wei Yin & Fei Zhou

Ning Kang - Freelance java developer - ING | LinkedIn

Ning Kang heeft 13 functies op zijn of haar profiel. Bekijk het volledige profiel op LinkedIn om de connecties van Ning Kang en vacatures bij vergelijkbare bedrijven te zien. ... *Big Data Mining Techniques (SVM, K-nearest neighbours, Logistic Regression, Naive …

Mining Spatio-Temporal Patterns in Trajectory Data

Mining Spatio-Temporal Patterns in Trajectory Data Juyoung Kang* and Hwan-Seung Yong* Abstract —Spatio-temporal patterns extracted from historical trajectories of moving

Mining Big Data: Current Status, and Forecast to …

Mining Big Data: Current Status, and Forecast to the Future Wei Fan Huawei Noah's Ark Lab Hong Kong Science Park ... plication of data mining methods, and turning preliminary ... - Big Graph Mining: Algorithms and discoveries by U Kang and Christos Faloutsos(Carnegie Mellon Universi-

GitHub - pilsung-kang/text-mining: Unstructured Data ...

pilsung-kang / text-mining. Code. Issues 0. Pull requests 0. Projects 0 Insights Dismiss ... Overview of text mining methods; Topic 2: From Texts to Data. Obtain texts to analyze; Text data collection through APIs and web scraping; Topic 3: Natural Language Processing. Introduction to NLP;

S Kang - MATLAB Central - MathWorks

MATLAB Central contributions by S Kang. I'm interested in data mining Professional Interests: data mining, support vector machine, kernel methods