Data Science and Analytics for Decision Support (SIGDSA)

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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Schedule
	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

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