Proceedings of the 2017 International Conference on Data Mining

DMIN'17 Author Index

Editor(s): Robert Stahlbock, Mahmoud Abou-Nasr, Gary M. Weiss
ISBN: 1-60132-453-7 | Copyright © 2017 CSREA Press | United States of America



AbuOmar, Osama
Data Mining the Effects of Testing Conditions on Brain Biomechanical Properties

Al-Sawaf, Lubna M.N.
ASSOCRULE - Association Rule Mining Tool

Alshammeri, Hessa S.
ASSOCRULE - Association Rule Mining Tool

Atkison, Travis
Using Time Series Forecasting for Adaptive Traffic Signal Control

Baglee, David
Optimizing Condition Monitoring of Big Data Systems

Blackmore, Karen
A Novel Approach to Coke Strength Prediction Using Self Organizing Maps

Campos, Jaime
Optimizing Condition Monitoring of Big Data Systems

Chang, Jae Young
Fake Filtering in Advertising Restaurant Blogs Using Machine Learning Methods

Cheng, Yu-Han
Application of Machine Learning Methods to Predict Non-alcohol Fatty Liver Disease in Taiwanese High-tech Industry Workers

Chiba, Kazuhisa
An Attempt for Detecting Transonic Buffet Signature via Unsteady-Data Mining

Chou, Cheng-Ying
Application of Machine Learning Methods to Predict Non-alcohol Fatty Liver Disease in Taiwanese High-tech Industry Workers

Chun, Jong Hoon
Fake Filtering in Advertising Restaurant Blogs Using Machine Learning Methods

Costa, Leandro
SVM Constraint Discovery using KN applied to the Identification of Cyberbullying

Crawford, Folly
Data Mining the Effects of Testing Conditions on Brain Biomechanical Properties

Cruz, Rick
A Probabilistic Signal Representation for Detecting Faults in Highly Fragmented and Down-Sampled Vibration Signals

DiPippo, Lisa
SVM Constraint Discovery using KN applied to the Identification of Cyberbullying

Du, Xu
Mining Ordinance Data from the Web for Smart City Development

Du, Zhihui
Pushing Sequential Constraints into Unordered Tree Mining Algorithms

Ducharme, Daniel
SVM Constraint Discovery using KN applied to the Identification of Cyberbullying

Fatima, Tazeen
A Predictive Analytics Approach to Project Management: Reducing Project Failures in Web & Software Development Projects

Gao, Wei
Pushing Sequential Constraints into Unordered Tree Mining Algorithms

Gorostegu, Unai
Optimizing Condition Monitoring of Big Data Systems

Graff, Philip
GALILEO: A Generalized Low-Entropy Mixture Model

Hainen, Alex
Using Time Series Forecasting for Adaptive Traffic Signal Control

Hamada, Naoki
An Attempt for Detecting Transonic Buffet Signature via Unsteady-Data Mining

Hamdi-Cherif , Aboubekeur
ASSOCRULE - Association Rule Mining Tool

Hamel, Lutz
SVM Constraint Discovery using KN applied to the Identification of Cyberbullying

Hockings, Kim
A Novel Approach to Coke Strength Prediction Using Self Organizing Maps

Hong, Soyoung
Labeling Author Affiliations in Biomedical Articles using Markov Model Classifier

Hsiung, Yvonne
Application of Machine Learning Methods to Predict Non-alcohol Fatty Liver Disease in Taiwanese High-tech Industry Workers

Ito, Takeshi
An Attempt for Detecting Transonic Buffet Signature via Unsteady-Data Mining

Jantunen, Erkki
Optimizing Condition Monitoring of Big Data Systems

Jo, Taeho
Table based AHC for Text Clustering

Jones, Mike
Data Mining the Effects of Testing Conditions on Brain Biomechanical Properties

Kara-Mohamed, Chafia
ASSOCRULE - Association Rule Mining Tool

Keffeler, Miclain
Using Time Series Forecasting for Adaptive Traffic Signal Control

Kim, Han-joon
Fake Filtering in Advertising Restaurant Blogs Using Machine Learning Methods

Kim, Jongwoo
Labeling Author Affiliations in Biomedical Articles using Markov Model Classifier

Kim, Juhyeon
Detecting Influenza Outbreaks in United States by Analyzing Climatic Heat Maps Using Convolutional Neural Network

Kim, Sungkyun
Using Time Series Forecasting for Adaptive Traffic Signal Control

King, Roger
Data Mining the Effects of Testing Conditions on Brain Biomechanical Properties

Kinsey, Matthew
GALILEO: A Generalized Low-Entropy Mixture Model

Kuchi-Ishi, Shigeru
An Attempt for Detecting Transonic Buffet Signature via Unsteady-Data Mining

Lee, Dean
A Probabilistic Signal Representation for Detecting Faults in Highly Fragmented and Down-Sampled Vibration Signals

Lin, Jeffrey
GALILEO: A Generalized Low-Entropy Mixture Model

Mahoney, Merrick
A Novel Approach to Coke Strength Prediction Using Self Organizing Maps

Mwitondi, Kassim
A Repeated Sampling and Clustering Method for Intrusion Detection

Nakakita, Kazuyuki
An Attempt for Detecting Transonic Buffet Signature via Unsteady-Data Mining

Nakata, Masaya
An Attempt for Detecting Transonic Buffet Signature via Unsteady-Data Mining

Nesbitt, Keith
A Novel Approach to Coke Strength Prediction Using Self Organizing Maps

North, Lauren
A Novel Approach to Coke Strength Prediction Using Self Organizing Maps

Prabhu, Raj
Data Mining the Effects of Testing Conditions on Brain Biomechanical Properties

Pulido, Daniel
Mining Large Point Clouds for Feature Matching of LIDAR Datasets using Self-Similarity

Rawat, Sandeep
Predicting Vulnerable Threats Location in Real Time

Savkli, Cetin
GALILEO: A Generalized Low-Entropy Mixture Model

Sharma, Pankaj
Optimizing Condition Monitoring of Big Data Systems

Siu, Vincent
A Probabilistic Signal Representation for Detecting Faults in Highly Fragmented and Down-Sampled Vibration Signals

Stefanidis, Anthony
Mining Large Point Clouds for Feature Matching of LIDAR Datasets using Self-Similarity

Suzuki, Koji
An Attempt for Detecting Transonic Buffet Signature via Unsteady-Data Mining

Sze-To, Antonio
Discovering Deep Knowledge from Relational Data by Attribute-Value Association

Taylor, Robert W.
Mining Ordinance Data from the Web for Smart City Development

Thoi, Phu
A Probabilistic Signal Representation for Detecting Faults in Highly Fragmented and Down-Sampled Vibration Signals

Thoma, George R.
Labeling Author Affiliations in Biomedical Articles using Markov Model Classifier

Tolentino, Glenn
A Probabilistic Signal Representation for Detecting Faults in Highly Fragmented and Down-Sampled Vibration Signals

Umeda, Yuhei
An Attempt for Detecting Transonic Buffet Signature via Unsteady-Data Mining

Varde, Aparna S.
Mining Ordinance Data from the Web for Smart City Development

Watanabe, Shinya
An Attempt for Detecting Transonic Buffet Signature via Unsteady-Data Mining

Wong, Andrew K. C.
Discovering Deep Knowledge from Relational Data by Attribute-Value Association

Yasue, Kanako
An Attempt for Detecting Transonic Buffet Signature via Unsteady-Data Mining

Yetman, Charles
A Probabilistic Signal Representation for Detecting Faults in Highly Fragmented and Down-Sampled Vibration Signals

Zargari, Shahrzad
A Repeated Sampling and Clustering Method for Intrusion Detection

Zhang, Sen
Pushing Sequential Constraints into Unordered Tree Mining Algorithms

Zhou, Pei-Yuan
Discovering Deep Knowledge from Relational Data by Attribute-Value Association



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