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
- Data Visualization
- Graph Models
- Machine Learning & AI
- Predictive Data Analysis & Intelligence
- Predictive Modeling
- Recommender Systems
- Statistical Analysis
Best Paper Award: Starting this year, the IEEE IRI Awards Committee will be presenting an award for the Best Theory and/or Applicative Paper. The best paper will be selected by distinct committee and will be the one that reports the most novel and promising research work that has a high potential impact in the real world. Additional select awards will also be presented.
Call for Workshop Proposals: http://www.sis.pitt.edu/iri2018/call_workshop.html
Papers reporting original and unpublished research results pertaining to the above and related topics are solicited. Full papers must be in English of up to 8 pages (using the IEEE two-column template instructions). Submissions can be made to the regular research track or to the industry/application track. Submissions should be double blind and should include only the title and should not include the author(s), affiliation(s), e-mail address(es), tel/fax numbers, and postal address(es) in the paper. The online submission site is: EasyChair IEEE IRI 2018. The authors need to mark if their submission is for “Regular Research Track” or for the “Industry/Applications Track”.
If web submission is not possible, please contact the program co-chairs for alternate arrangements. Papers will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation. Paper submission implies the intent of at least one of the authors to register and present the paper, if accepted.