The 3rd International Workshop on Data Quality and Trust in Big Data (QUAT'15)
In conjunction with the 16th international conference on Web Information Systems Engineering (WISE'15), Miami, Florida, 1st – 3rd November 2015
The workshop website is at:
The problem of data quality in data processing, data management, data analysis, and information systems largely and indistinctly affects every application domain, especially at the era of "Big Data".
"Big Data" has the characteristics of huge volume in data and a great variety of structures or no structure. "Big Data" is increased at a great velocity everyday and may be less trustable. The use of big data underpins critical activities in all sectors of our society. Many data processing tasks (such as data collection, data integration, data sharing, information extraction, and knowledge acquisition) require various forms of data preparation and consolidation with complex data processing and analysis techniques. Achieving the full transformative potential of "Big Data" requires both new data analysis algorithms and a new class of systems to handle the dramatic data growth, the demand to integrate structured and unstructured data analytics, and the increasing computing needs of massive scale analytics. The consensus is that the quality of data and the veracity of data have to span over the entire process of data collection, preparation, analysis, modelling, implementation, use, testing, and maintenance, including novel algorithms and usable systems.
Topics of Interest
The QUAT workshop is a qualified forum for presenting and discussing novel ideas and solutions related to the problems of exploring, assessing, monitoring, improving, and maintaining the quality of data and trust for "Big Data". It is to provide the researchers in the areas of web technology, e-services, social networking, big data, data processing, trust, and information systems and GIS a forum to discuss and exchange their recent research findings and achievements. The workshop is expected to have two types of papers – regular ones (12 pages) and short ones (6 pages), in order to attract the most up-to-date research results and research in progresses.
Topics include, but are not limited to, the following
- Data quality in big data
- Data quality assessment, measures and improvement methodologies
- Data quality mining Data quality on novel data management architectures (cloud, streaming data, ...)
- Data quality in environmental, transport, manufacture data
- Data quality in the web data
- Privacy-preserving data quality
- Quality in data collection, processing, and storage
- Quality-aware analytics solutions
- Quality for data, information, and knowledge
- Quality of scientific, geographical, and biologic databases
- information quality in information systems
- information quality in geo-information systems (GIS)
- Conflict resolution and data fusion
- Cleaning extremely large datasets
- Data scrubbing, data standardization, data cleaning techniques
- Trust in big data,
- Trust in social networking data,
- Trust distribution, propagation, and computation
- Identity and Trust Management
- Conceptual models and algebra for trust
Deadline for submissions: July 25, 2015
Notification of acceptance: August 20, 2015
Camera-ready versions: September 15, 2015
Workshop day: November 1, 2015
A full paper should not exceed 12 pages in LNCS (Lecture Notes in Computer Science) format. http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0
A short paper, mainly addressing the work-in-progress, should not exceed 6 pages still in LNCS format. http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0
Please follow the following instructions provided by Springer when preparing your camera ready. Please package all your submission files as one file (.rar or .zip).
(a) Completed copyright form.
(b) Source (input) files:
(i) For example, LaTeX2e files for the text and PS/EPS or PDF/JPG files for all figures.
(ii) Any further style files and fonts you have used together with your source files and that are not generally available at CTAN.
(iii) Final DVI file (for papers prepared using LaTeX/TeX).
(iv) Final PDF file corresponding to the source files (for reference).
(v) RTF files (for word-processing systems other than LaTeX/TeX).
The texts in all files must be identical.
All papers must be submitted in PDF. Please ensure that any special fonts are embedded in the submitted documents. It is essential that the submitted papers print without difficulty on a variety of printers using Adobe Acrobat Reader.
All submissions will be handled electronically. Each submission will be reviewed by at least three members of the program committee. Here is the link to the EasyChair conference paper submission website: https://www.easychair.org/conferences/?conf=quat15
The workshop proceedings will be published as a part of the conference proceedings in LNCS, Springer. An extended version of the best papers, selected by the reviewers, will be considered for inclusion in a special issue of the international journals, International Journal of Web Services Research (IJWSR), IJKEDM (International Journal of Knowledge Engineering and Data Mining), and Journal of Intelligent Systems (indexed by SCI, ISI, EI, etc.) (A Special Issue of International Journal on Web Services Research, IJWSR indexed by SCI, had been successfully organized for the extended best papers for QUAT 2013.)
Prof. Deren Chen, Zhejiang University, China
Prof. William Song, Dalarna University, Sweden
Program Committee Chairs:
A/Prof. Xiaolin Zheng, Zhejiang University, China
A/Prof. Johan Håkansson, Dalarna University, Sweden
Masayuki Arai (Teikyo, Japan)
Anders Avdic (Dalarna, Sweden)
Christer Carlsson (Åbo, Finland)
Xiaofeng Du (BT, UK)
Hasan Fleyeh (Dalarna, Sweden)
Remigijus Gustas (Karlstad, Sweden)
Jun Hu (Nanchang, China)
Bin Jiang (Gävle, Sweden)
Paul Johannesson (Stockholm, Sweden)
Huaizhong Li (Wenzhou, China)
Jun Li (Wenzhou, China)
Yang Li (BT, UK)
Michael Lang (Galway, Ireland)
Christer Magnusson (Stockholm, Sweden)
Kami Makki, (Lamar University, USA)
Anders G. Nilsson (Stockholm, Sweden)
Jaroslav Pokorny (Charles, Czeck)
Meina Song (BUPT, China)
Yoshihisa Udagawa (Tokyo Polytechnic University, Japan)
Athena Vakali (Aristotle, Greece)
Hua Wang (SQU, Australia)
Yong Yang (JUFE, China)
Shaozhong Zhang (Wanli, China)
Sheng Zhang (Nanchang Hangkong University, China)
Yanchun Zhang (Victoria, Australia)
A/Prof. Xiaolin Zheng, Zhejiang University, China (Co-chair)
A/Prof. Hasan Fleyeh, Dalarna University, Sweden (Co-chair)
Dr. Xiaofeng Du, British Telecom, UK (publicity) email: email@example.com
Xiaoyun Zhao, Dalarna University, Sweden (Webmaster at Dalarna University, Sweden) email: firstname.lastname@example.org
Microdata Analysis Research, Dalarna University, Sweden
E-Service Research Center, Zhejiang University, China
- A Unified Framework for Data Cleaning and Data Privacy
- A Data Quality Framework for Customer Relationship Analytics
- Inter-rater Reliability in Determining the Types of Vegetation on Railway Trackbeds
- Reliability of manual assessments in determining the types of vegetation on railway tracks
- A Comparison of Patent Classifications with Clustering Analysis
- Combination of Evaluation Methods for Assessing the Quality of Service for Express Delivery Industry