CFP & Accepted Papers

ACCEPTED PAPERS/POSTERS

  1. CloudMatcher: A Cloud/Crowd Service for Entity Matching [Paper] [PDF]
  2. 2-Way k-Means as a Model for Microbiome Samples [Paper]
  3. The Impact of Diagnostic Code Misclassification on Optimizing the Experimental Design of Genetic Association Studies [Paper]
  4. Distant Supervision with Transductive Learning for Adverse Drug Reaction Identification from Electronic Medical Records [Paper]
  5. Computational Motility Tracking of Ca2+ Dynamics in Toxoplasma Gondii [Poster] [PDF]
  6. A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques [Poster] [PDF]
  7. A Vision for Health Informatics: Introducing the SKED Framework [Poster] [arXiv]

Paper acceptance rate: 23.53%


Call for Papers:

This is a new and emerging area for the KDD community and we hope this workshop will bring together researchers and interested audiences to explore the open problems, applications, and future directions in Big data analytics-as- a-Service: Architecture, Algorithms, and Applications in Health Informatics. We invite submission of papers explaining innovative research studies on all aspects of big data analytics and its application in health informatics. Work-in-progress papers, demos, experimental studies, open-source developments, and visionary papers are also welcome. Suggested topics include (but are not limited to) the following with the focus of health informatics application area:

  • Big data machine learning algorithms
      Big data semi-supervised learning, active learning, inductive inference, organizational learning, evolutional learning, transfer learning, manifold learning, probabilistic and relational learning
      Big data deep learning
      Big data decision support systems
      Big data scientific visualization
      Big temporal data mining
      Big data time series and sequential pattern mining
      Big data clinical/biomedical text analytics
      Automatic semantic annotation of medical content
      Large-scale classification, clustering, and interpretation of biomedical images and videos
      Genetic data analytics, mining big gene databases and biological databases
  • Gold Standards
      Feature engineering considerations and selection
      Algorithm considerations and selection
      Analysis selection criteria
  • Systems Architecture
      Infrastructures for big data analytics
      Scalable and high throughput systems for large-scale data analytics
      Performance evaluation or comparative study of big data analytics tools, such as DataMelt, RapidMiner, Orange, Rattle, Apache Spark MLlib, Apache Mahout, etc.
      Performance evaluation or comparative study of Machine Learning as a Service platforms, such as BigML, Microsoft Azure, Amazon Machine Learning, Google Cloud Prediction API, IBM Watson Analytics, etc.
      Integration PaaS (iPaaS) supporting Big Data applications and services
      Application of cloud computing to big data analytics
  • Big data analytics-as-a-Service
      Big data machine learning-as-a-Service
      Turning big data health informatics into WWW services
      Big data deep learning-as-a-Service
      Big data infrastructure-as-a-Service

 

All accepted papers will be published in the special issue at Journal of Healthcare Engineering entitled “Big Data Analytics-as-a-Service: Architecture, Algorithms, and Applications in Health Informatics“. We invite submission of unpublished original research papers that are not under review elsewhere. All papers will be peer reviewed. The submitted papers must be written in English and formatted according to the instruction illustrated at Author Guidelines. There is no page limit. We also invite vision papers and descriptions of work-in-progress or case studies on benchmark data as short paper submissions of up to 5 pages. The papers should be in PDF format.


[CFP Poster: Download]


Submissions:

Manuscripts should be submitted by one of the authors of the manuscript through the online Manuscript Tracking System. Regardless of the source of the word-processing tool, only electronic PDF (.pdf) or Word (.doc, .docx, .rtf) files can be submitted through the system.

bigdas2017_submission

Important Dates:

Paper submissions: May 21, 2017 (11:59 PM Pacific Standard Time) June 6, 2017
Supplemental material submissions (Optional): May 27, 2017 (11:59 PM Pacific Standard Time) June 10, 2017
Paper notifications: June 21, 2017
Final submissions: July, 10, 2017
Workshop date: August 14, 2017 (Morning 8:00 am to 12:00)

 

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