CALL FOR CHAPTER PROPOSALS
Proposal Submission Deadline: February 28, 2017

Utilizing Big Data Paradigms for Business Intelligence

A book edited by Jerome Darmont and Sabine Loudcher (Universite de Lyon, Lyon 2, ERIC EA3083, France)

http://eric.univ-lyon2.fr/bdbibook/


* Introduction

Business intelligence (BI) aims to support decisions, not only in the business area stricto sensu, but also in the domains of health, environment, energy, transportation, science, etc. It provides a transverse vision of an organization's data and allows accessing quickly and simply to strategic information. For this sake, data must be extracted, grouped, organized, aggregated and correlated with methods and techniques such as data  integration (ETL), data warehousing, online analytical processing (OLAP), reporting, data mining and machine learning. BI is nowadays casually used both in large companies and organizations, and small and middle-sized entreprises, thanks to the advent of cloud computing and cheap BI-as-a-service. The development of BI in the 1990's has also sparkled vivid research that currently addresses new challenges in big data.


* Objective of the Book

Mashing up internal and external data is acknowledged as the best way to provide the most complete view for decision making. Yet, tackling data heterogeneity has always been an issue. With big data coming into play, benefits from processing external data look even better, but issues are also more complex. Data volume challenges even warehouses that were tailored for large amounts of data. Velocity challenges the very idea of materializing historicized data. Variety and veracity issues remain, but at a much greater extent. Finally, actually extracting intelligible information from big data (data value) requires novel methods. Finally, new technologies such as cloud computing, Hadoop/Spark and NoSQL databases also question classical BI.

This book plans to gather top-level research contributions addressing problems related to the five "Vs" of big data, technological issues, as well as big data analytics applications. Contributions will be reviewed by an international scientific committee.


* Target Audience

The target audience of this book will be composed of 
- researchers
- practitioners from the industry
- graduate students in the fields of computer science, data science and business intelligence.


* Recommended topics include, but are not limited to, the following:

- Data volume issues: physical data management, scalability issues, performance optimization, NoSQL storage
- Data variety issues: information retrieval, complex data preparation/ETL, data lakes, metadata extraction and management, semantics, linked data...
- Data velocity issues: cloud/parallel processing for analytics...
- Data veracity issues: data quality, data security (privacy, integrity...), 
- Data value issues: data visualization, data storytelling, personalization, recommendation, collaborative analyses...
- Applications: Internet of Things & BI, Textual Documents Analytics, Social Media Analytics, Real-time analytics, Self-service BI, Smart cities & BI, Big Data Analytics in Healthcare, Social BI, Open Data, Digital Humanities...


* Submission Procedure

Researchers and practitioners are invited to submit on or before February 28, 2017 a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by March 17, 2017 about the status of their proposals and sent chapter guidelines. Full chapters of about 10,000 words are expected to be submitted by June 30, 2017, and all interested authors must consult the guidelines for manuscript submissions at http://eric.univ-lyon2.fr/bdbibook/#format prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Utilizing Big Data Paradigms for Business Intelligence. All manuscripts are accepted based on a double-blind peer review editorial process.

All proposals should be submitted through the E-Editorial DiscoveryTM online submission manager (cf. http://eric.univ-lyon2.fr/bdbibook/#submission ).


* Important Dates

March 30, 2017: Proposal Submission 2nd Deadline
March 31, 2017: Notification of Proposal Acceptance
June 30, 2017: Full Chapter Submission
October 30, 2017: Review Results Returned
November 30, 2017: Revised Chapter Submission
December 15, 2017: Final Acceptance Notification
December 30, 2017: Final Chapter Submission


* Scientic Committee (in progress):

Alberto Abello,Universitat Politenica de Catalunya, Barcelona, Spain	
Antonio Badia, University of Louisville, USA
Fatma Boualli, Universite Lille 2, France
Stephane Bressan, National University of Singapore, Singapore
Arnaud Castelltort, Universite de Montpellier, France
Karen Davis, University of Cincinnati, USA	
John W. Emerson, Yale University, USA 	
Pedro Furtado, Universidade de Coimbra, Portugal
Amine Ghrab, Universite Libre de Bruxelles, Belgium				
Anastasios Gounaris, Aristotle University of Thessaloniki, Greece											
Le Gruenwald, University of Oklahoma, USA									
Zhen He, La Trobe University, Australia		
Chang-Shing Lee, National University of Tainan, Taiwan
Daniel Lemire, Universite du Quebec, Montreal, Canada								
Patrick Marcel, Universite François Rabelais de Tours, France
Morten Middelfart, TARGIT, USA	
Richi Nayak, Queensland University of Technology, Australia					
Franck Ravat, Universite de Toulouse, France					
Alkis Simitsis, HP Labs, USA	
Won-Kyung Sung, KISTI, South Korea 												
Thomas Tamisier, Luxembourg Institute of Science and Technology, Luxembourg	
Christian Thomsen, Aalborg University, Denmark	
Panos Vassiliadis, University of Ioannina, Greece							
Robert Wrembel, Poznan Technical University, Poland	
Roberto Zicari, Frankfurt University, Germany	
Iryna Zolotaryova, Kharkiv National University of Economics, Ukraine 


* Inquiries can be forwarded to http://eric.univ-lyon2.fr/bdbibook/#contact