Data Science 1st Edition by Rert Stahlbock, Gary Weiss, Mahmoud Abou Nasr 1601325029 978-1601325020

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ISBN 10: 1601325029
ISBN 13: 978-1601325020
Author:  Rert Stahlbock, Gary M. Weiss , Mahmoud Abou-Nasr

Proceedings of the 2019 International Conference on Data Science (ICDATA’19) held July 29th – August 1st, 2019 in Las Vegas, Nevada.

Data Science 1st Table of contents:

Deep Learning Applications

Deep Convolutional Autoencoder for Recovering Defocused License Plates and Smudged Fingerprints
Yijun Zhao, Stephen Lebak

Analysis Framework to Investigate Power-Failure Events and Their Causes
Vivian Sultan, Brian Hilton

Optimal Route Planning for Probabilistic Landscape Exploration
Ming Tony Shing, K. Y. Michael Wong

Using Apple Store Dataset to Predict User Ratings of Mobile Applications
Kevin Daimi, Noha Hazzazi

Data Fusion and Statistical Analysis

On Data Fusion Methodologies for Spontaneous and Solicited Safety Data Evaluation
Hal Li, William Wang

Statistical Assessment of Physicochemical Properties of Protein Tertiary Structure
Deok Hee Nam

Business Intelligence and Human Behavior

A Competing Values Approach to Business Intelligence
Jonathan Fowler

Patterns of Human Mobility
Shijun Tang, Sihai Tang

Social Network Analysis and Infrastructure

LK-Means Algorithm for Evaluating University Students’ Social Network Behavior on Cyberbullying Topics
Cota Ortiz Maria de Guadalupe, Ojeda Cota Maria de Guadalupe, Florez Perez Pedro

Which Grid Infrastructure Needs Utilities’ Immediate Attention to Reduce Power Outage Risks?
Vivian Sultan

Optimization and Gender Insights

Police Precinct Optimization: Using Distance as an Evaluation Metric
Alyssa Grubbs, Brent Lodge, Qingguo Wang

Using Tags and Comments to Understand Gender Differences in Online Evaluations
Ting Liu, Yuwei Chen, Logan Brandt

Emerging Technologies in Big Data

Personal Big Data Computing Platform for Deep Learning: Implementation and Performance Benchmarking
Chien-Heng Wu, Yu-Feng Chung, Wen-Yi Chang, Whey-Fone Tsai

Data Science and Security in Digital Governance: Elastic Bus Transportation Scheme
Movses Musaelian, Md Zakirul Alam Bhuiyan, Garry Weiss, Tian Wang, Aliuz Zaman, Thaier Hayajneh

SESSION: CLASSIFICATION

Application of Artificial Neural Networks on Speech Signal Features for Parkinson’s Disease Classification
John Wu, Xin Ye, Shaun-inn Wu

Fine-Tuning Naive Bayes for Imbalanced Datasets
Fahad Alenazi, Khalil El Hindi, Basil AsSadhan

Identifying Classification Algorithms Most Suitable for Imbalanced Data
Ray Marie Tischio, Gary M. Weiss

Random Under-sampled Deep Architecture for Rare Disease Classification Using EHR Data
Yan Hu, Feng Chen, Yong Cai, Yilian Yuan

Analysis of Binary Classification Metrics Using Empirical Distributions of Prediction Scores
Andrei Chtcheprov, Srinivas Krovvidy, Hernando Vera

Parameter Optimization of RBF Kernel SVM from MiniCV
Li-Chia Yeh, Chung-Chin Lu

SESSION: CLUSTERING, ASSOCIATION + WEB/TEXT/MULTIMEDIA MINING

Consistency Constraints for Overlapping Data Clustering
Jakob Hansen, Jared Culbertson, Peter F. Stiller, Dan P. Guralnik

The Sequence Prediction Model of Latent Variable Conditional Random Fields
Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, Yinan Shao, Matin Pirouz

A Neural-Encoded Mention-Hypergraph Model for Mention Recognition
Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, Yinan Shao, Matin Pirouz

Twitter Streaming API Data Collection for Infrequent Keywords
Traian Marius Truta, Parker Kain, Tobel Atnafu, Alina Campan, Joseph Nolan, Alyssa Appelman

Feature Extraction through DeepWalk on Weighted Graphs
Jayesh Soni, Nagarajan Prabakar, Himanshu Upadhyay

Graph-Based Clustering for Current Affairs Texts
Taeho Jo

SESSION: POSTER PAPERS AND EXTENDED ABSTRACTS

Applying Machine Learning to Detect and Diagnose Faults in Multi-Array PV Plants
Chung-Chian Hsu, Jia-Long Li, Arthur Chang, Yu-Sheng Chen

Prediction of Asset Prices Using News Corpus Data in Time Series Analysis
Arkajyoti Chakraborty

A Computer Model to Study Users’ Information Behavior
Paulo Hideo Ohtoshi, Claudio Gottschalg-Duque

Breast Cancer Dataset Analytics
Kevin Daimi

SESSION: LATE-BREAKING PAPERS: DATA SCIENCE AND MINING

Event-Driven Sentiment Detection for Correlation Analysis in the Bitcoin Market
Chung-Hong Lee, Hsin-Chang Yang, Yong-Lin Chuang, Shuo-Hsin Huang, Po-Hao Chen, Hong-Jie Dai

Cloud-Based Big Data Platforms for Big Data Engineering Curriculum
Yuri Demchenko, Oleg Chertov

Data Quality and Problem Severity Assessment for Data Cleaning
Hong Liu, Jongyeop Kim

Measuring the Impact of Integrated Delivery Networks on Physicians’ Prescribing Preferences
Wenzhe Lu, Yong Cai

360-Degree Technology for Immersive Psychotherapy Applications
Usharani Hareesh Govindarajan, Amy J.C. Trappey, Charles V. Trappey

Predictive Modeling of an Unbalanced Binary Outcome in Food Insecurity Data
Jonathan Fabish, Lauren Davis, Seong-Tae Kim

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Rert Stahlbock,Gary Weiss,Mahmoud Abou Nasr