Data Science and Web Analytics
SCOPE
World Wide Web is a rich information space where documents are interconnected as a gigantic network, and users are not only able to interact with the Webs to actively explore and search for useful information as data consumers, but can also publish data through different web services to further enrich the network as data producers. The interconnection and the real-time nature of the Webs allow data produces and consumers to be tightly connected, such that web content and usages, and user interests and behaviors, can be directly and timely analyzed for different applications. For example, by monitoring information about the number of visitors to a website and the number of page views, businesses can utilize the web traffic and popularity trends for market research. On the other hand, by studying social media content and sentiments, businesses can collect public feedback with respect to a certain brand or product. Web analytics is a data science research sub-discipline, which focuses on the collection, measurements, analysis, and reporting of web data to support business intelligence, optimized decision makings, and other purposes. Due to the enormous sizes of the Web and the huge number of users, our existing web analytics skills are severely challenged by (1) large scale data volumes, (2) rich data schema, structure, and heterogeneity, (3) data inconsistency and noise, and (4) real-time requirement from applications. The data science and web analytics (DSWA) workshop intends to provide a focused research forum to advance web analytics techniques and solutions. We encourage submissions from different aspects of web related applications, systems, services, and algorithm designs.
WORKSHOP AREAS
TThe main topics of the workshop include (but not limited to):
1.Web Data Storage and Retrieval
2.Web Content Analysis
3.Web Server Log File Analysis
4.Web Networks Traffic Analysis
5.Web Clicks Analysis
6.User Behavior Modeling and Retargeting
7.Online Fraud Detection
8.Digital Media and Computational Advertising
9.Real-Time Bidding
10.Marketing and Business Intelligence
11.Web Analytics Privacy and Security Issues
PAPER SUBMISSION
All submissions should be prepared in English and submitted in PDF format via the IEEE DSC site (For detailed requirements and template, please visit http://www.ieee-dsc.org/2017/CallForPapers.html). All submissions should not have been previously published nor be currently under consideration for publication elsewhere. All accepted papers will appear in the proceedings of the IEEE DSC2017 conference. If accepted, at least one of the authors must attend the workshop to present the work. Any paper without a qualified registration or onsite presentation will be excluded from the proceedings.
IMPORTANT DATES
Acceptance notification:
Camera-ready copy:
Conference Date: June 26, 2017
ORGANIZATION
Program Chair
Xingquan Zhu, Florida Atlantic University, USA
Jie Cao, Nanjing University of Finance and Economics, China
Program Committee
Elias Bou-Harb, Florida Atlantic University, USA
Shirui Pan, University of Technology, Sydney, Australia
Jia Wu, University of Technology, Sydney, Australia
Jessie Yin, CSIRO, Australia
Christopher Baechle, Indian River State College, USA
Victor S. Sheng, University of Central Arkansas, USA
Shuliang Wang, Beijing Institute of Technology, China
Peng Zhang, Alibaba.com, China
Zhiang Wu, Nanjing University of Finance and Economics, China
Shenghong Li, Shanghai Jiaotong University, China
Zheng Gong, South China Normal University, China
Zheng Huang, Shanghai Jiaotong University, China
Jie Guo, Shanghai Jiaotong University, China
Mingxing He, Xihua University, China
Guangquan Xu, Tianjin University, China
Jin Li, Guangzhou Universtity, China
Jinsong Wang, Tianjin University of Technology, China
Yixiang Zhu, National Engineering Laboratory for Mobile Internet System and Application Security of China, Shanghai Research Institute of China Telecom Corporation Limited, China
Bo Zhao, Wuhan University,China
Fei Peng, Hunan University,China
Haifa Liu, Aisino Corporation, China
Yuehua Zhao, Jiangsu University, China