View source for EEML 2017

{{Event
|Acronym=EEML 2017
|Title=EEML  2017 : Fourth International Workshop on Experimental Economics and Machine Learning
|Type=Workshop
|Field=machine learning
|Start date=2017/09/17
|End date=2017/09/18
|Homepage=http://tu-dresden.de/wiwi/eeml2017
|City=Dresden
|Country=Germany
|Submission deadline=2017/07/30
}}
Workshop concentrates on an interdisciplinary approach to modeling human
behavior incorporating data mining and/or expert knowledge from behavioral
sciences. Data analysis results extracted from clean data of laboratory
experiments can be compared with noisy industrial data-sets from the web e.g..
Insights from behavioral sciences will help data scientists. Behavior scientists
will see new inspirations to research from industrial data science. Market
leaders in Big Data, as Microsoft, Facebook, and Google, have already realized
the importance of experimental economics know-how for their business.

In Experimental Economics, although financial rewards restrict subjects
preferences in experiments, exclusive application of analytical game theory is
not enough to explain the collected data. It calls for the development and
evaluation of more sophisticated models. The more data is used for evaluation,
the more statistical significance can be achieved. Since large amounts of
behavioral data are required to scan for regularities, along with automated
agents needed to simulate and intervene in human interactions, Machine Learning
is the tool of choice for research in Experimental Economics. This workshop is
aimed at bringing together researchers from both Data Analysis and Economics in
order to achieve mutually-beneficial results.

Proceedings

All accepted papers will be included in the workshop’s proceedings to be
published online on the CEUR-Workshop web site in a volume with ISSN, indexed by
Scopus and also integrated into RePEc.

Submission Procedure

The submission Web page for EEML 2017 is

https://easychair.org/conferences/?conf=eeml2017.

Electronic version of full paper complete with authors’ affiliations should be
submitted through the conference electronic submission system. Manuscripts must
be prepared with LaTeX or Microsoft Office and should follow the Springer format
available at http://www.springer.de/comp/lncs/authors.html.The maximum number of
accepted papers by an individual author that can be covered by the workshop’s
registration charge is 3. The papers over 12 pages are not allowed.

Workshop Co-chairs

Rustam Tagiew, Entrepreneur, Ontonovation, Germany
Dmitry Ignatov, Associate Professor,National Research University HSE, Russia
Andreas Hilbert, Professor for Business Intelligence, TU Dresden, Germany
Kai Heinrich, Scientific Assistant, TU Dresden, Germany
Radhakrishnan Delhibabu, Associate Professor, Kazan Federal University, Russia

Keywords

Game Theory, Web Mining, Mechanism Design, Behavioral Science, Machine Learning,
Business Intelligence, Data Mining, Experimental Economics, Complex Networks,
Econometrics, Human Behavior Modeling, Concept Lattices, Behavioral Economics,
Data Science, Knowledge Discovery, Text Mining, Social Sciences, Bayes Nets,
Markov Nets, Petri Nets, Neural Nets, Decision Trees, Linear Models, Clustering,
Ontologies, Real Data, Cognitive Science
Acronym	EEML 2017 +
End date	September 18, 2017 +
Event type	Workshop +
Has coordinates	51° 2' 58", 13° 44' 17"Latitude: 51.049327777778 Longitude: 13.738144444444 +
Has location city	Dresden +
Has location country	Category:Germany +
Homepage	http://tu-dresden.de/wiwi/eeml2017 +
IsA	Event +
Start date	September 17, 2017 +
Submission deadline	July 30, 2017 +
Title	EEML 2017 : Fourth International Workshop on Experimental Economics and Machine Learning +