IEEE 20th International Conference on Information Reuse and Integration for 
Data Science (IEEE IRI) 
Los Angeles, CA, USA
July 30 – August 01, 2019
http://www.sis.pitt.edu/lersais/iri/2019/ 

Given the emerging global Information-centric IT landscape that has tremendous social and economic implications, effectively processing and integrating humungous volumes of information from diverse sources to enable effective decision making and knowledge generation have become one of the most significant challenges of current times. Information Reuse and Integration for Data Science(IRI) seeks to maximize the reuse of information by creating simple, rich, and reusable knowledge representations and consequently explores strategies for integrating this knowledge into systems and applications. IRI plays a pivotal role in the capture, representation, maintenance, integration, validation, and extrapolation of information; and applies both information and knowledge for enhancing decision-making in various application domains.
This conference explores three major tracks: information reuse, information integration, and reusable systems. Information reuse explores theory and practice of optimizing representation; information integration focuses on innovative strategies and algorithms for applying integration approaches in novel domains; and reusable systems focus on developing and deploying models and corresponding processes that enable Information Reuse and Integration to play a pivotal role in enhancing decision-making processes in various application domains.
The IEEE IRI conference serves as a forum for researchers and practitioners from academia, industry, and government to present, discuss, and exchange ideas that address real-world problems with real-world solutions. Theoretical and applied papers are both included. The conference program will include special sessions, open forum workshops, panels and three excellent keynote speeches.

Keynote Speakers:
Keynote 1
Some New Data Challenges in Data Science
Huan Liu  
Professor, Arizona State University, USA

Keynote 2
“Chameleons” – Actors Who Can “Play Any Part”: Your Data Can Have a Starring Role Too!
Matthew C. Stafford  
Chief Learning Officer, US Air Force’s Air Education and Training Command, Joint Base San Antonio, Texas, USA

Keynote 3
From Self-Learning to Knowledge Discovery
Aidong Zhang  
William Wulf Faculty Fellow and Professor of Computer Science, University of Virginia, USA

This conference presents excellent, novel, and contemporary papers covering all aspects of Data – including Scientific Theory and Technology-Based Applications. New data analytic algorithms, technologies, and tools are sought to be able to manage, integrate, and utilize large amounts of data despite hardware, software, and/or bandwidth constraints; to construct models yielding important data insights; and, to create visualizations to aid in presenting and understanding the data. System development and integration needs to also adapt to these new algorithms, technologies, tools, and needs. This conference and its constituents support the development of technologies and applications for peaceful purposes to improve the human condition.
Furthermore, IRI addresses the representation, cleansing, generalization, validation, and reasoning strategies for the scientifically-sound and cost-effective advancement of all systems and systems of systems (SoS) – including all software and hardware aspects. These non-trivial tasks lead to challenging research problems – for example, how to optimally select the information/data sets for reuse and how to optimize the integration of existing information/knowledge with new, developing information/knowledge sources!
The IEEE IRI conference serves as a forum for researchers and practitioners from academia, industry, and government to present, discuss, and exchange ideas that address real-world problems with real-world solutions. Theoretical and applied papers are both welcome. The conference program will include several plenary speeches from academia, industry, and government; special sessions, open forum workshops, and panels.
The conference includes, but is certainly not limited to, the areas listed below:
* Applications – Business, Education, Engineering, Healthcare, the Internet of Things, Math, Military, Multimedia, NLP, Robotics, Science, Security, Social Networking, Space, Vision, et al.
* Contemporary as well as Novel Data Mining Techniques
* Data & Knowledge Representation and Management
* Data Science & Technologies - Heuristic Acquisition
* Data Visualization
* Graph Models
* Machine Learning & AI
* Predictive Data Analysis & Intelligence
* Predictive Modeling
* Recommender Systems
* Statistical Analysis
* Theory



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