Data, Text, and Web Mining for Business Analytics

A Qualitative Literature Review on Linkage Techniques for Data Integration

Felix Kruse, Carl von Ossietzky University Oldenburg
Ahmad Pajam Hassan, Carl von Ossietzky Universität
Jan-Philipp Awick, Carl von Ossietzky Universität
Jorge Marx Gómez, Carl von Ossietzky Universität

Grand Wailea, Hawaii

12:00 AM - 12:00 AM

Visit Site

Improving Prediction Models for Mass Assessment: A Data Stream Approach

Donghui Shi, Anhui Jianzhu University
Jian Guan, University of Louisville
Jozef Zurada, University of Louisville
Alan Levitan, University of Louisville

Grand Wailea, Hawaii

12:00 AM - 12:00 AM

Visit Site

Introduction to the Minitrack on Data, Text, and Web Mining for Business Analytics

Dursun Delen, Oklahoma State University
Hamed Zolbanin, University of Dayton
Behrooz Davazdahemami, University of Wisconsin – Whitewater

Grand Wailea, Hawaii

12:00 AM - 12:00 AM

Visit Site

Prevent Low-Quality Analytics by Automatic Selection of the Best-Fitting Training Data

Cornelia Kiefer, University of Stuttgart
Peter Reimann, Graduate School of Excellence advanced Manufacturing Engineering (GSaME), University of Stuttgart
Bernhard Mitschang, Institute for Parallel and Distributed Systems (IPVS), University of Stuttgart

Grand Wailea, Hawaii

12:00 AM - 12:00 AM

Visit Site

Topic Modeling and Transfer Learning for Automated Surveillance of Injury Reports in Consumer Product Reviews

David Goldberg, San Diego State University
Nohel Zaman, Loyola Marymount University

Grand Wailea, Hawaii

12:00 AM - 12:00 AM

Visit Site

Use of Conventional Machine Learning to Optimize Deep Learning Hyper-parameters for NLP Labeling Tasks

Yang Gu, University of Arizona
Gondy Leroy, University of Arizona

Grand Wailea, Hawaii

12:00 AM - 12:00 AM

Visit Site