The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is a leading international conference in the areas of data mining and knowledge discovery. It provides an international forum for researchers and industry practitioners to share their new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition and automatic scientific discovery, data visualization, causal induction and knowledge-based systems, etc.
PAKDD 2016 seeks workshop proposals on foundational and emerging topics in areas related to data mining. The PAKDD workshops provide an informal and vibrant opportunity for researchers and industry practitioners to share their research positions, original research results and practical development experiences on specific challenges and emerging issues. The workshop topics should be focused and cohesive so that participants can benefit from interaction with each other.
A list of topics (non-exhaustive) include:
- Foundational topics in data mining
- Big data mining/platform
- Data mining on specialized data types: graphs, structured/unstructured/semi-structured data, streaming data, time series, spatial-temporal data, text, multimedia, social networks, etc.
- Data mining in specific disciplines: biology, ecology, e-government, environmental sciences, finance, healthcare, manufacturing, social sciences, etc.
- Data mining on cloud computing
- Data mining and privacy
- Data mining and security
- Data analysis and mining for new applications: smart devices, smart grids, smart homes, etc.
The organizers and chairs of the workshop shall have full control on the call for papers, forming of program committees, review and selection of papers as well as planning the workshop program. HOWEVER, the program committee chairs are not allowed to submit papers to the workshops to ensure a fair review process. IN ADDITION, the chairs must include the following statement in the workshop CFP: “Submitting a paper to the workshop means that if the paper is accepted, at least one author should attend the workshop to present the paper. For no-show authors, their affiliations will receive a notification.” The registration fees for workshops will be determined by the conference (not the workshop itself). The fees will be paid to the conference, and the conference will provide workshop facilities including working notes printing, meeting room, coffee break, lunch, proceedings, etc.
Each workshop will have a right to include its outstanding papers in a LNCS/LNAI post Proceedings of PAKDD Workshops published by Springer. Under the program, the workshop chair must organize a review committee to select the outstanding papers from the papers presented in the workshop. Based on the reviews, each selected paper should be further improved for the camera ready version. A detailed schedule of due dates for the paper selection and the collection of the camera ready versions will be announced immediately after the workshop.
Prospective workshop organizers should send a proposal (maximum three pages) with the following sections to the PAKDD 2016 Workshop Co-Chairs.
- Title of the workshop
- Objectives, scope, and contribution to the main conference
- Names and contacts of key organizers and a tentative list of members of the program committee, along with links to their webpages
- Expected number of papers, attendees, and preliminary workshop format
Workshops will have either a full day or a half day format. Prior discussion of candidate workshop organizers with the workshop chair is strongly encouraged.
Workshop proposal due: September 28, 2015 [23:23:59 PST]
Workshop notification: October 2, 2015
Workshop call for papers: October 16, 2015
Suggested workshop author notification: January 22, 2016
Workshop camera-ready due: February 8, 2016 [23:23:59 PST]
We look forward to your proposals and contributions to PAKDD 2016 Workshops.
New Mexico State University, USA
University of Technology, Sydney, Australia