KDD2009: Workshops

Abstracts

W1 – Statistical and Relational Learning and Mining in Bioinformatics (StReBio’09)

Jan Ramon, Fabrizio Costa, Christophe Costa Florencio, Joost Kok

Bioinformatics is an application domain where information is naturally represented in terms of relations between heterogenous objects. Modern experimentation and data acquisition techniques allow the study of complex interactions in biological systems. This raises interesting challenges because the amount of data is huge,some information can not be observed, and measurements may be noisy.

The StReBio’09 workshop invites contributions concerning applications of statistical relational learning and mining methods in bio-informatics domains. In particular, the workshop invites both regular papers, problem statements and problem solution papers.

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W2 – The 3rd International Workshop on Knowledge Discovery from Sensor Data (SensorKDD-2009)

Olufemi Omitaomu, Auroop Ganguly, Joao Gama, Ranga Raju Vatsavai, Mohamed Medhat Gaber and Nitesh V. Chawla

Wide-area sensor infrastructures, remote sensors, RFIDs, and wireless sensor networks yield massive volumes of disparate, dynamic, and geographically distributed data. The Sensor-KDD 2009 workshop 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.

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W3 – ACM SIGKDD Workshop on CyberSecurity and Intelligence Informatics (CSI-KDD)

Hsinchun Chen, Marc Dacier, Marie-Francine Moens, Gerhard Paaß, Christopher C. Yang

Computer supported communication and infrastructure are integral parts of modern economy. Their security is of incredible importance to a wide variety of practical domains ranging from Internet service providers to the banking industry and e-commerce, from corporate networks to the intelligence community. Of interest to this workshop are novel knowledge discovery methods addressing this field, e.g. adaptive, active or anticipatory approaches integrating new types of contents and protocols. Equally important are innovative applications demonstrating the effectiveness of data mining in solving real-world security problems.

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W4 – Workshop on Visual Analytics and Knowledge Discovery (VAKD ’09)

Kai Puolamäki, Heikki Mannila, Alessio Bertone, Silvia Miksch, Mark A. Whiting, Jean Scholtz

The goal of Visual Analytics is to derive insight from massive, dynamic, ambiguous, and often conflicting data; detect the expected and discover the unexpected; provide timely, defensible, and understandable assessments; and communicate the assessment effectively for action. The goal of this workshop is to raise the awareness of the KDD community for the importance of Visual Analytics and bring together researcher from the underlying fields to bridge the gap between them—to write a KDD research roadmap on Visual Analytics.

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W5 – The Third International Workshop on Data Mining and Audience Intelligence for Advertising (ADKDD)

Ying Li, Arun C. Surendran, and Dou Shen

Advertising, especially online advertising, is growing rapidly and brings about large volumes of data along with challenging data mining problems. Following on the success of ADKDD 2007 and 2008, ADKDD 2009 is to be held in Paris France, in conjunction with KDD 2009, to provide a high-level international forum for the academic community and the industry to present the state of the art of algorithms and applications of advertising.

We encourage papers that bring up and formalize new research problems in online advertising, or propose novel data mining techniques for existing problems. We plan to cover (but not restricted to) the following areas: Mining for Ad Relevance and Ranking; Audience Intelligence & User Modeling; Content Understanding; Search Engine Marketing, Optimization (SEMs, SEOs) and Other Topics in Advertising. Accepted papers will be achieved in ACM Digital Library and one or two papers will be recommended to SIGKDD Explorations.

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W6 – The 3rd Workshop on Social Network Mining and Analysis (SNA-KDD)

Lee Giles, Prasenjit Mitra, Igor Perisic, John Yen, Haizheng Zhang

(Abstract Coming Soon)

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W7 – Human Computation Workshop (HCOMP 2009)

Paul Bennett, Raman Chandrasekar, Max Chickering, Panos Ipeirotis, Edith Law, Foster Provost, Anton Mityagin, Luis von Ahn

Human computation is a new research area that studies the process of channeling the vast internet population to perform tasks or provide data towards solving difficult problems that no known computer algorithms can yet solve perfectly and efficiently, e.g. digitize books, recognize objects in images and songs, translate sentences, summarize news articles, annotate videos etc. The goal of HCOMP 2009 is to bring together academic and industry researchers in a stimulating discussion of existing human computation applications, such as Games With A Purpose (e.g. the ESP game), Mechanical Turk and CAPTCHAs, and future directions of this new subject area.

Included in the workshop are invited talks, presentations, posters, and a demo session where participants are invited to showcase their human computation applications.

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W8 – Data Mining using Matrices and Tensors (DMMT’09)

Chris Ding, Tao Li

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.

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W9 – Third Workshop on Data Mining Case Studies and Practice Prize (DMCS)

Gabor Melli, Peter van der Putten, Brendan Kitts

The Data Mining Case Studies Workshop and Practice Prize was established to recognize the very best data mining deployments for the year. Data Mining Case Studies will highlight data mining implementations that have been responsible for a significant and measurable improvement in business operations, advanced scientific discoveries, or provided other benefits to humanity. The best paper will be awarded the Practice Prize. Do you have an outstanding data mining application? This is a unique opportunity to be recognized for your work.

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W10 – KDD cup 2009: Fast Scoring on a Large Database (KDDcup09)

Isabelle Guyon, David Vogel

This workshop will discuss the results of the KDD cup 2009. The competition is organized around a large dataset provided by the French telecom company Orange. It is a problem of Customer Relationship Management (CRM), a key element of modern marketing strategies. Orange offered the opportunity to work on a large marketing database to predict the propensity of customers to switch provider (churn), buy new products or services (appetency), or buy upgrades or add-ons proposed to them to make the sale more profitable (up-selling).

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W11 – The First ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data (U’09)

Jian Pei, Lise Getoor, Ander de Keijzer

The First ACM SIGKDD International Workshop on Knowledge Discovery from Uncertain Data (U’09) is to discuss in depth the challenges, opportunities and techniques on the topic of analyzing and mining uncertain data. The theme of this workshop is to make connections among the research areas of probabilistic databases, probabilistic reasoning, and data mining, as well as to build bridges among the aspects of models, data, applications, novel mining tasks and effective solutions. By making connections among different communities, we aim at understanding each other in terms of scientific foundation as well as commonality and differences in research methodology.

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KDD-09 Call For Workshop Proposals (Expired)

The ACM KDD-2009 organizing committee invites proposals for workshops to be held in conjunction with the conference. The purpose of a workshop is to provide participants with the opportunity to present and discuss novel research ideas on active and emerging topics of knowledge discovery and data mining. A workshop should also support the interaction and feedback among topic specialists from academia, industry and government.

A workshop may be organized around industrial applications in a particular domain and the challenges this domain poses, such as the Netflix workshop on recommender systems (http://netflixkddworkshop2008.info/).

A workshop may also include a challenge problem, such as the one on time series classification that took place in 2007 (http://www.cs.ucr.edu/~eamonn/SIGKDD2007TimeSeries.html). A session with papers that address a challenge complements the more diverse sessions with regular papers and improves the potential for discussion. Because such challenges require extra time to plan, we may be willing to provide early notice of acceptance.

The organizers of approved workshops are required to announce the workshop and call for papers, gather submissions, conduct the reviewing process and decide upon the final workshop program. They must also prepare an informal set of workshop proceedings to be distributed with the registration materials at the conference. They may choose to form organizing or program committees for assistance in these tasks. The logistics of the workshops will be done with the help from the ACM KDD-2009 organizers.

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source-http://www.kdd.org/kdd/2009/workshops.html

Author: Ajay Ohri

http://about.me/ajayohri

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