Important Dates

• Proposals due: February 15, 2008
• Notification of Acceptance: March 15, 2008
• Camera-ready workshop submissions: June 20, 2008
• Workshops: August 24, 2008

Please note that the June 20^th date is the deadline for workshop organizers to submit their proceedings to KDD. Each workshop will have its own paper submission deadline and the authors should consult the individual workshop organizers for the paper submission dates to a workshop.

All workshops will be held on Sunday, August 24, 2008.

Accepted Workshops

Full Day Workshops

• The 2^nd International Workshop on Data Mining and Audience Intelligence for Advertising (ADKDD'08)
  ADKDD 2008 is a forum to bring together researchers and practitioners from a variety of communities involved in digital advertising. These include (but are not restricted to) people working on sponsored search, contextual advertising, behavioral targeting, video, social networks, TV & radio advertising. We want to bring together auction theorists, social network researchers, natural language researchers, information retrieval experts, audience understanding researchers, television advertisement analysts and many others, to promote a fruitful exchange of ideas to advance the field.
• The 9^th Intl. Workshop on Multimedia Data Mining
  The MDM/KDD workshop brings together experts in the analysis of digital media content, multimedia databases, knowledge engineers and domain experts from different applied disciplines with potential in multimedia data mining. The workshop will facilitate the cross-disciplinary exchange of ideas.
• WEBKDD'08: 10 Years of Knowledge Discovery on the Web
• The 2^nd International Workshop on Knowledge Discovery from Sensor Data (Sensor-KDD, 2008)
  Wide-area sensor infrastructures, remote sensors, and wireless sensor networks yield massive volumes of disparate, dynamic, and geographically distributed data. Sensor-KDD solicits papers that describe innovative solutions in offline data mining and/or real-time analysis of sensor or streaming data. Position papers that describe the challenges and requirements for sensor data based knowledge discovery in high-priority application domains, as well as relevant case studies, are particularly encouraged.
• The 2^nd ACM SIGKDD International Workshop on Privacy, Security, and Trust in KDD (PinKDD'08)
• The 2^nd SNA-KDD Workshop on Social Network Mining and Analysis
  The second SNA-KDD '2008 solicits contributions on social network analysis and graph mining. The workshop topics include but are not limited to: (1) social network modeling; community discovery; scalable, customizable social network infrastructure construction; dynamic growth and evolution patterns identification and discovery using machine learning approaches or multi-agent based simulation. (2) data mining and graph mining advances on the discovery and analysis of communities, on personalization for solitary activities (like search) and social activities (like discovery of potential friends), on the analysis of user behavior in open fora (like conventional sites, blogs and fora).

Half-day Workshops

• The 2^nd International Workshop on Mining Multiple Information Sources
• The 2^nd KDD Workshop on Large Scale Recommenders Systems and the Netflix Prize
• Data Mining with Constraints
• Data Mining using Matrices and Tensors
  This workshop will present recent advances in algorithms and methods using matrix and scientific computing/applied mathematics for modeling and analyzing massive, high-dimensional, and nonlinear-structured data. One main goal of the workshop is to bring together leading researchers on many topic areas (e.g., computer scientists, computational and applied mathematicians) to assess the state-of-the-art, share ideas, and form collaborations. We also wish to attract practitioners who seek novel ideas for applications.
• The 8^th International Workshop on Data Mining in Bioinformatics (BIOKDD08)
  The goal of this workshop is to encourage KDD researchers to take on the numerous challenges that Bioinformatics offers. This year, BIOKDD '08 will feature the themes "complex biological systems" and "knowledge discovery". Different from analyzing single molecules, complex biological systems consist of components that are in themselves complex and interacting with each other. Understanding how the various components work in concert, using modern high-throughput biology and data mining methods, is crucial to the ultimate goal of genome-based economy such as genome medicine and new agricultural and energy solutions.
• Data Mining for Business Applications
• KDD Cup and Workshop on Mining Medical Data
  This workshop is broader in scope than the KDD Cup and all submissions related to the mining of medical data are welcome. Particularly invited are papers describing systems that are able to combine all available patient information whether from structured sources or from unstructured sources, to support medical decision making.