Data Science and Web Analytics


  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.


  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


  All submissions should be prepared in English and submitted in PDF format via the IEEE DSC site (For detailed requirements and template, please visit 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.

  Submission Link


  Full paper due: April 3, 2017, extended to April 10,2017
  Acceptance notification:April 23, 2017,extended to April 27, 2017
  Camera-ready copy:April 30, 2017,extended to May 12, 2017
  Conference Date: June 26, 2017


Program Chair

Weidong QiuShanghai Jiaotong University, China
Xingquan ZhuFlorida Atlantic University, USA
Jie CaoNanjing University of Finance and Economics, China

Program Committee

Dingding Wang Florida Atlantic University, USA
Elias Bou-Harb, Florida Atlantic University, USA
Shirui PanUniversity of Technology, Sydney, Australia
Jia WuUniversity of Technology, Sydney, Australia
Jessie YinCSIRO, Australia
Christopher Baechle Indian River State College, USA
Victor S. ShengUniversity of Central Arkansas, USA
Shuliang WangBeijing Institute of Technology, China
Peng, China
Zhiang WuNanjing University of Finance and Economics, China
Shenghong LiShanghai Jiaotong University, China
Zheng Gong South China Normal University, China
Zheng HuangShanghai Jiaotong University, China
Jie GuoShanghai Jiaotong University, China
Mingxing He Xihua University, China
Guangquan XuTianjin University, China
Jin LiGuangzhou Universtity, China
Jinsong WangTianjin University of Technology, China
Yixiang  ZhuNational Engineering Laboratory for Mobile Internet System and Application Security of China, Shanghai Research Institute of China Telecom Corporation Limited, China
Bo ZhaoWuhan University,China
Fei PengHunan University,China
Haifa LiuAisino Corporation, China
Yuehua ZhaoJiangsu University, China