This track in Data Science and Analytics seeks original research that promotes technical, theoretical, design science, pedagogical, and behavioral research as well as emerging applications in analytics and big data. Topics include but are not limited to: data analytics & visualization from varied data sources such as sensors or IoT data, text, multimedia, clickstreams, user-generated content involving issues dealing with curation; management and infrastructure for (big) data; standards, semantics, privacy, security and legal issues in big data, analytics and KM (knowledge management); intelligence and scientific discovery using big data; analytics applications in various domains such as smart cities, smart grids, financial fraud detection, digital learning, healthcare, criminal justice, energy, environmental and scientific domains, sustainability and the like; business process management applications such as process discovery, performance analysis, process conformance and mining using analytics and KM, cost-sensitive, value-oriented , and data-driven decision analysis and optimization.

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A Systematic Literature Review on the Applications of Big Data Analytics – Identifying Influential Factors and Impact

Yanqing Duan, University of Bedfordshire
Ram Ramanathan, University of Bedfordshire
Guangming Cao, University of Bedfordshire

Assessing the Impact of a GIS for Improving Novice Crisis Decision-Making

Adam R. Albina, Saint Anselm College

Clustering Prominent Named Entities in Topic-Specific Text Corpora

Abdulkareem Alsudais, Prince Sattam Bin Abdulaziz
Hovig Tchalian, Claremont Graduate University

Complex contagions of information diffusion across social networking platforms

Rachael Ruizhu Xiong, University of Texas at San Antonio
Charles Zhechao Liu, University of Texas at San Antonio
Kim-Kwang Raymond Choo, University of Texas at San Antonio
Anthony Rios, University of Texas at San Antonio

Credit Scoring in Peer-to-peer Lending with Macro Variables and Machine Learning as Feature Selection Methods

Weidong Guo, Shanghai Jiao Tong University

Data Mining in Cricket Team Selection

Alton L. Bodley, The University of the West Indies
Gunjan Mansingh, The University of the West Indies Mona
Kweku-Muata A Osei-Bryson, Virginia Commonwealth University

Developments in knowledge discovery processes and methodologies: anything new?

Jeroen Baijens, Open University
Remko W. Helms, Open University

Distributed Representations of Users and Locations for Friendship Recommendation on Location-Based Social Network

Zhipeng Chen, University of Arizona
Yongcheng Zhan, University of Arizona

Effectiveness of Real-Time Mobile Messaging: A Natural Field Experiment

Khadija Ali Vakeel, Northwestern University
Vijay Viswanathan, Northwestern University
Mototaka Sakashita, Keio University

Employee Ridesharing: Reinforcement Learning and Choice Modeling

Wangcheng Yan, University of Tennessee Knoxville
Wenjun Zhou, University of Tennessee Knoxville
Chang Tan, iFLYTEK
Lei Fan, iFLYTEK

“EmPowering Change”: An Energy Analytics Dashboard Intervention Study

Lakshmi Iyer, Appalachian State University
Miguel Sebastián de la Mata, Appalachian State University

Feature Generation Using Machine Learning from Large Sparse Financial Data

Minjung Choi, Shinhan Financial Group

GeoMultiVis: helping decision-making through Interactive Visualizations from Geospatial Multivariate Data

Wagner Signoretti, Pontifícia universidade católica do Rio Grande do Sul
Isabel H. Manssour, PUCRS
Milene Silveira, Pontifical Catholic University of Rio Grande do Sul

Hashtagivism: Making Online News Great Again?

Hamid Khobzi, University of Bern

Intelligent Event Broker: A Complex Event Processing System in Big Data Contexts

Carina Andrade, University of Minho
José Correia, University of Minho
Carlos Costa, University of Minho
Maribel Yasmina Santos, University of Minho

Large-Scale Sentiment Analysis on Airbnb Reviews from 15 Cities

Abdulkareem Alsudais, Prince Sattam Bin Abdulaziz
Timm Teubner, TU Berlin

Learning vs. Bridging of Big Data for innovation development in the Smart Grid

Julia Petra Köhlke, OFFIS Institute for Information Technology

Machine Learning Techniques for Annotations of Large Financial Text Datasets

Jesse Roberts, Otto-von-Guericke University, Magdeburg
Matthias Volk, Otto-von-Guericke University Magdeburg
Robert Neumann, Ultra Tendency GmbH
Klaus Turowski, Otto-von-Guericke-University Magdeburg

Modeling Local Ambulance Resource Scheduling

David M. Goldberg, Virginia Tech
Patricia Garvey, Virginia Tech
Long Xia, Virginia Tech
Sukhwa Hong, Virginia Tech

Modes of Engagement in Self- Service Business Analytics: a Service Dominant Logic Perspective

Imad Bani Hani, Lund University - Sweden
Olgerta Tona, lund University
Sven Carlsson, Lund University

Peeking Into Minds of iGeneration via Lyrics of Most Popular Songs over 50 Years

Yong Seog Kim, Utah State University

Predicting Ethereum Prices using Machine Learning and Block Chain Information

Han-Min Kim, Sungkyunkwan University
Gee-Woo Bock, Sungkyunkwan University
Gunwoong Lee, SungKyunKwan University

Prediction of Airline Delays based on Machine Learning Algorithms

Alok Dand, Wichita State University
Khawaja Saeed, Wichita State University
Bayram Yildirim, Wichita State University

Racing Bib Number Recognition Using Deep Learning

Erica Ivarsson, Berlin School of Economics and Law
Roland M. Mueller, Berlin School of Economics and Law

Simulating Temporal Dynamics in Cryptocurrency Software Social Networks

Wingyan Chung, University of Central Florida
Mehul Vora, University of Central Florida
Jinwei Liu, University of Central Florida
Yifan Huang, University of Central Florida
Elizabeth Mustaine, University of Central Florida
Vincent S. Lai, The Chinese University of Hong Kong

Smart Communication Infrastructures: A Probabilistic and Context-Aware System Design for Efficient and Dynamic Cloudlet-Management

Patrick Felka, Goethe University Frankfurt

Substitution Effect in Sport Event Attendance

Yong Seog Kim, Utah State University
Clay Moffitt, Utah State University

Success Factors for Analytical Customer Relationship Management in B2B Companies

Manuela Frieß, University of applied science Neu-Ulm
Karin Hartl, University of Applied Sciences Neu-Ulm
Olaf Jacob, Neu-Ulm University of Applied Sciences

The Digital Divide 2.0: Fintech versus traditional financial services

Aaron M. French, University of New Mexico
Gabriel Baduqui, University of New Mexico

Topic Diversity of Online Consumer Reviews and Its Effect on Review Helpfulness

Jaebong Son, California State University, Chico
Arash Negahban, California State University, Chico
Dalen Chiang, California State University, Chico

Towards a Framework for Ethical Audits of AI Algorithms

Ryan C. LaBrie, Seattle Pacific University
Gerhard Steinke, Seattle Pacific University

Transfer Learning in Knowledge-Intensive Tasks: A Test in Healthcare Text Analytics

Long Xia, Virginia Tech
David M. Goldberg, Virginia Tech
Sukhwa Hong, Virginia Tech
Patricia Garvey, Virginia Tech

What Social Media Can Tell Us About Opioid Addicts: Twitter Data Case Analysis

Tareq Nasralah, Dakota State University
Omar El-Gayar, Dakota State University
Yong Wang, Dakota State University

When is Enough, Enough? The Critical Decision to Stop Building Business Analytics Models

Russell Torres, University of North Texas
Natalie Gerhart, Creighton University

Where Are You Going Big Data?

Andre Coelho Vaz Henriques, Fundacao Getulio Vargas
Maria Alexandra Cunha, Fundação Getulio Vargas
Fernando S. Meirelles, Fundacao Getulio Vargas