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EI-KDD 2016 : KDD 2016 Workshop on Enterprise Intelligence


When Aug 14, 2016 - Aug 14, 2016
Where San Francisco, CA
Submission Deadline May 27, 2016
Notification Due Jun 13, 2016
Final Version Due Jul 1, 2016
Categories    machine learning   data mining   enterprise intelligence

Call For Papers

Enterprise Intelligence, KDD 2016 workshop
San Francisco, CA, August 14, 2016

Important Dates:
Paper submissions: May 27, 2016
Notifications: June 13, 2016
Final submission: July 1, 2016
Workshop date: August 14, 2016

KDD techniques are at the core of enterprise intelligence systems in today’s data-driven and connected enterprises. Almost all components of the enterprise intelligence system, such as big data analytics and modeling, ROI attribution, decision support systems, cloud-based data security, privacy and compliance concerns, CRM, ATS, business intelligence, data exploration and visualization, are strongly influenced by the data mining discipline. In the past some of these areas have received isolated attention from KDD researchers, but we believe these areas deserve special attention from the KDD research community within the context of enterprise applications.

Target audience:
Industry practitioners of both enterprise and consumer applications, spanning ML applied researchers, data analytics and BI individual's, cloud-solution providers and customers e.g. CRM based intelligence amongst others Data Mining academicians working on novel machine learning algorithms, big data analytics and modeling, data exploration and visualization, and interested in enterprise applications Business school and MIS individuals working on Business analytics & Decision support systems.

Topics of interest:
Data mining and machine learning techniques related but not limited to:
- ROI estimation of enterprise products
- Privacy and Security for enterprise data
- Customer insights and CRM
- HR and Recruiting
- Marketing
- Forecasting and modeling challenges
- Retention and Churn prediction
- Enterprise level data preparation
- Supply chain management
- Enterprise level collaboration and sharing
- A/B testing and online experimentation

Submission Details:
Submission site:
Authors are instructed to follow the ACM Proceedings Template. The paper length is limited to 10 pages, including tables, figures, references, and appendices. Each submitted paper will be evaluated by three PC members with respect to its novelty, significance, technical soundness, presentation, and experiments. Accepted papers will be published in EI-KDD'16 proceedings.

Abhishek Gupta, Head of Enterprise Intelligence@LinkedIn
George Karypis, Professor@University of Minnesota

Related Resources

KDD 2018   Knowledge Discovery and Data Mining Conference
ECCV 2018   European Conference on Computer Vision
KDD 2018   KDD 2018 Call for Papers for Applied Data Science Papers
ICML 2018   The 35th International Conference on Machine Learning
ISAIR 2018   The 3rd International Symposium on Artificial Intelligence and Robotics 2018
MLDM 2018   14th International Conference on Machine Learning and Data Mining MLDM 2018
IEEE--CRC--Ei Compendex & Scopus 2018   2018 the 3rd International Conference on Cybernetics, Robotics and Control (CRC 2018)--IEEE, Ei Compendex & Scopus
ICBIM--EI and Scopus 2018   2018 The 2nd International Conference on on Business and Information Management (ICBIM 2018)--EI Compendex and Scopus
ICDM 2018   18th Industrial Conference on Data Mining ICDM 2018
MLMI--Ei Compendex, Scopus 2018   ACM--2018 International Conference on Machine Learning and Machine Intelligence (MLMI 2018)--Ei Compendex, Scopus